Tootfinder

Teaching Algorithm Design: A Literature Review
Jonathan Liu, Seth Poulsen, Erica Goodwin, Hongxuan Chen, Grace Williams, Yael Gertner, Diana Franklin
https://arxiv.org/abs/2405.00832

Teaching Algorithm Design: A Literature Review
Algorithm design is a vital skill developed in most undergraduate Computer Science (CS) programs, but few research studies focus on pedagogy related to algorithms coursework. To understand the work that has been done in the area, we present a systematic survey and literature review of CS Education studies. We search for research that is both related to algorithm design and evaluated on undergraduate-level students. Across all papers in the ACM Digital Library prior to August 2023, we only find …

Research and application of artificial intelligence based webshell detection model: A literature review
Mingrui Ma, Lansheng Han, Chunjie Zhou
https://arxiv.org/abs/2405.00066

Research and application of artificial intelligence based webshell detection model: A literature review
Webshell, as the "culprit" behind numerous network attacks, is one of the research hotspots in the field of cybersecurity. However, the complexity, stealthiness, and confusing nature of webshells pose significant challenges to the corresponding detection schemes. With the rise of Artificial Intelligence (AI) technology, researchers have started to apply different intelligent algorithms and neural network architectures to the task of webshell detection. However, the related research still lacks …

AIOps Solutions for Incident Management: Technical Guidelines and A Comprehensive Literature Review
Youcef Remil, Anes Bendimerad, Romain Mathonat, Mehdi Kaytoue
https://arxiv.org/abs/2404.01363

AIOps Solutions for Incident Management: Technical Guidelines and A Comprehensive Literature Review
The management of modern IT systems poses unique challenges, necessitating scalability, reliability, and efficiency in handling extensive data streams. Traditional methods, reliant on manual tasks and rule-based approaches, prove inefficient for the substantial data volumes and alerts generated by IT systems. Artificial Intelligence for Operating Systems (AIOps) has emerged as a solution, leveraging advanced analytics like machine learning and big data to enhance incident management. AIOps dete…

>"These figures are clearly not scientifically correct, but if such botched illustrations can pass peer review so easily, more realistic-looking AI-generated figures have likely already infiltrated the scientific literature."
The rat with the big balls and the enormous penis – how Frontiers published a paper with botched AI-generated images – Science Integrity Digest

The rat with the big balls and the enormous penis – how Frontiers published a paper with botched AI-generated images
A review article with some obviously fake and non-scientific illustrations created by Artificial Intelligence (AI) was the talk on X (Twitter) today. The figures in the paper were generated by the …

"The urgent need to slot historical works of literature into some sort of forced contemporary relevance, whether by insisting on their prophetic nature or wiping them from the collective memory in order to rescue them, seems to miss the idea that reissues may have inherent value because they have aged, or even simply because they are enjoyable.”

Opinion | We Need to Read the Forgotten Geniuses, Not Rescue Them
The literary canon is constantly evolving — and critics’ often-frustrating kvetching about reissues is a key part of that evolution.

A Comprehensive Review of Coastal Compound Flooding Literature
Joshua Green, Ivan D. Haigh, Niall Quinn, Jeff Neal, Thomas Wahl, Melissa Wood, Dirk Eilander, Marleen de Ruiter, Philip Ward, Paula Camus
https://arxiv.org/abs/2404.01321

A Comprehensive Review of Coastal Compound Flooding Literature
Compound flooding, where the combination or successive occurrence of two or more flood drivers leads to an extreme impact, can greatly exacerbate the adverse consequences associated with flooding in coastal regions. This paper reviews the practices and trends in coastal compound flood research methodologies and applications, as well as synthesizes key findings at regional and global scales. Systematic review is employed to construct a literature database of 271 studies relevant to compound floo…

This https://arxiv.org/abs/2210.13020 has been replaced.
link: https://scholar.google.com/scholar?q=a

On Tools for Completeness of Kleene Algebra with Hypotheses
In the literature on Kleene algebra, a number of variants have been proposed which impose additional structure specified by a theory, such as Kleene algebra with tests (KAT) and the recent Kleene algebra with observations (KAO), or make specific assumptions about certain constants, as for instance in NetKAT. Many of these variants fit within the unifying perspective offered by Kleene algebra with hypotheses, which comes with a canonical language model constructed from a given set of hypotheses.…

Streamlining the Selection Phase of Systematic Literature Reviews (SLRs) Using AI-Enabled GPT-4 Assistant API
Seyed Mohammad Ali Jafari
https://arxiv.org/abs/2402.18582

Streamlining the Selection Phase of Systematic Literature Reviews (SLRs) Using AI-Enabled GPT-4 Assistant API
The escalating volume of academic literature presents a formidable challenge in staying updated with the newest research developments. Addressing this, this study introduces a pioneering AI-based tool, configured specifically to streamline the efficiency of the article selection phase in Systematic Literature Reviews (SLRs). Utilizing the robust capabilities of OpenAI's GPT-4 Assistant API, the tool successfully homogenizes the article selection process across a broad array of academic discipli…

Teaching Algorithm Design: A Literature Review
Jonathan Liu, Seth Poulsen, Erica Goodwin, Hongxuan Chen, Grace Williams, Yael Gertner, Diana Franklin
https://arxiv.org/abs/2405.00832

Teaching Algorithm Design: A Literature Review
Algorithm design is a vital skill developed in most undergraduate Computer Science (CS) programs, but few research studies focus on pedagogy related to algorithms coursework. To understand the work that has been done in the area, we present a systematic survey and literature review of CS Education studies. We search for research that is both related to algorithm design and evaluated on undergraduate-level students. Across all papers in the ACM Digital Library prior to August 2023, we only find …

This https://arxiv.org/abs/2301.06517 has been replaced.
link: https://scholar.google.com/scholar?q=a

The Landscape of User-centered Misinformation Interventions -- A Systematic Literature Review
Misinformation is one of the key challenges facing society today. User-centered misinformation interventions as digital countermeasures that exert a direct influence on users represent a promising means to deal with the large amounts of information available. While an extensive body of research on this topic exists, researchers are confronted with a diverse research landscape spanning multiple disciplines. This review systematizes the landscape of user-centered misinformation interventions to f…

Comparing Motion Distortion Between Vehicle Field Deployments
Nicolas Samson, Dominic Baril, Julien L\'epine, Fran\c{c}ois Pomerleau
https://arxiv.org/abs/2405.00189

Comparing Motion Distortion Between Vehicle Field Deployments
Recent advances in autonomous driving for uncrewed ground vehicles (UGVs) have spurred significant development, particularly in challenging terrains. This paper introduces a classification system assessing various UGV deployments reported in the literature. Our approach considers motion distortion features that include internal UGV features, such as mass and speed, and external features, such as terrain complexity, which all influence the efficiency of models and navigation systems. We present …

That we find meaning in all manner of things in our lives—in our relationships with friends and family, in art and literature, religious belief—is not some weird epiphenomenon of the human mind.
Ball, Philip. How Life Works: A User’s Guide to the New Biology (p. 406). Pan Macmillan. Kindle-editie.
@…

>"These figures are clearly not scientifically correct, but if such botched illustrations can pass peer review so easily, more realistic-looking AI-generated figures have likely already infiltrated the scientific literature."
The rat with the big balls and the enormous penis – how Frontiers published a paper with botched AI-generated images – Science Integrity Digest

The rat with the big balls and the enormous penis – how Frontiers published a paper with botched AI-generated images
A review article with some obviously fake and non-scientific illustrations created by Artificial Intelligence (AI) was the talk on X (Twitter) today. The figures in the paper were generated by the …

EEvA: Fast Expert-Based Algorithms for Buffer Page Replacement
Alexander Demin, Yuriy Dorn, Aleksandr Katrutsa, Daniil Kazantsev, Ilgam Latypov, Yulia Maximlyuk, Denis Ponomaryov
https://arxiv.org/abs/2405.00154

EEvA: Fast Expert-Based Algorithms for Buffer Page Replacement
Optimal page replacement is an important problem in efficient buffer management. The range of replacement strategies known in the literature varies from simple but efficient FIFO-based algorithms to more accurate but potentially costly methods tailored to specific data access patterns. The principal issue in adopting a pattern-specific replacement logic in a DB buffer manager is to guarantee non-degradation in general high-load regimes. In this paper, we propose a new family of page replacement…

Nice overview:
The Latest “Crisis” — Is the Research Literature Overrun with ChatGPT- and LLM-generated Articles?
https://scholarlykitchen.sspnet.org/2024/03/20/the-latest-crisis-is-th…

The Latest "Crisis" - Is the Research Literature Overrun with ChatGPT- and LLM-generated Articles? - The Scholarly Kitchen
Journal articles with ChatGPT authored text are being found. How common is this in the literature? And how, or better yet, when, is this problematic text slipping through to publication?

Modes of Thought in Anterran Literature - Season 4 finale ❓📜🎓
Dramatized paranormal horror thriller series | Total listening time: 6h 44m
This course discusses the Anterran Civilization and the evidence regarding the recent archeological ruins uncovered at the bottom of the Pacific Ocean. The earliest human society, years older than previously known to exi...

Modes of Thought in Anterran Literature - Season 4 finale ❓📜🎓
Dramatized paranormal horror thriller series | Total listening time: 6h 44m This course discusses the Anterran Civilization and the evidence regarding the recent archeological ruins uncovered at the bottom of the Pacific Ocean. The earliest human society, years older than previously known to exist, will provide opportunities for analysis of ancient writing and thought. An Official Selection at the Tribeca Festival in 2022. 4 seasons, 23 episodes as of Dec 21, 2023.

Words And Nerds: Authors, Books And Literature
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/words-and-nerds-authors-books-and/

Words And Nerds | Great Australian Pods Podcast Directory
Podcast: Words And Nerds: Authors, Books And Literature Hosts: Dani Vee Category: Arts Sub-Category: Books & Writing First Episode: 2017 Words and Nerds Podcast is an entertaining and conversational…

This https://arxiv.org/abs/2312.02351 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

No U(1) 'electric-magnetic' duality in Einstein gravity
We revisit the question of whether classical general relativity obeys, beyond the linearised order, an analogue of the global U(1) electric-magnetic duality of Maxwell theory, with the Riemann tensor playing the role analogous to the field strength. Following contradictory claims in the literature, we present a simple gauge-invariant argument that the duality does not hold. The duality condition is the conservation of the helicity charge. Scattering amplitudes of gravitons in general relativity…

The use of the open innovation paradigm in the public sector: a systematic review of published studies
J. A. Lima-J\'unior, K. S. Gama, J. S. Correia-Neto
https://arxiv.org/abs/2404.01552

The use of the open innovation paradigm in the public sector: a systematic review of published studies
The use of the open innovation paradigm has been, over the past years, getting special attention in the public sector. Motivated by an urban environment that is increasingly more complex and challenging, several government agencies have been allocating financial resources and efforts to promote open and participative government initiatives. As a way to try and understand this scenario, a systematic review of the literature was conducted, to provide a comprehensive analysis of the scientific pap…

This https://arxiv.org/abs/2403.13074 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Calculating quasinormal modes of extremal and non-extremal Reissner-Nordström black holes with the continued fraction method
We use the numerical continued fraction method to investigate quasinormal mode spectra of extremal and non-extremal Reissner-Nordström black holes in the low and intermediate damping regions. In the extremal case, we develop techniques that significantly expand the calculated spectrum from what had previously appeared in the literature. This allows us to determine the asymptotic behavior of the extremal spectrum in the high damping limit, where there are conflicting published results. Our inve…

On Convergence of Discrete Schemes for Computing the Rate-Distortion Function of Continuous Source
Lingyi Chen, Shitong Wu, Wenyi Zhang, Huihui Wu, Hao Wu
https://arxiv.org/abs/2405.00474

On Convergence of Discrete Schemes for Computing the Rate-Distortion Function of Continuous Source
Computing the rate-distortion function for continuous sources is commonly regarded as a standard continuous optimization problem. When numerically addressing this problem, a typical approach involves discretizing the source space and subsequently solving the associated discrete problem. However, existing literature has predominantly concentrated on the convergence analysis of solving discrete problems, usually neglecting the convergence relationship between the original continuous optimization …

This https://arxiv.org/abs/2309.08417 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Corrected Calculation for the Non-local Solution to the g-2 Anomaly and Novel Results in Non-local QED
We provide the corrected calculation of the muon g-2 in non-local QED previously done in the literature. In specific, we show the proper technique for calculating loops in non-local QED and use it to find the form factors F1(q1) and F2(q2) in non-local QED. We also utilize this technique to calculate some novel results in non-local QED, including calculating the correction to the photon self-energy, the modification to the classical Coulomb potential, the modification to the energy levels of th…

First Light Curve Analysis of NSVS 8294044, V1023 Her, and V1397 Her Contact Binary Systems
Atila Poro, Sabrina Baudart, Mahshid Nourmohammad, Zahra Sabaghpour Arani, Fatemeh Farhadi, Selda Ranjbar Salehian, Ahmad Sarostad, Saeideh Ranjbaryan Iri Olya, Maryam Hadizadeh, AmirHossein Khodaei
https://arxiv.org/abs/2404.01928…

First Light Curve Analysis of NSVS 8294044, V1023 Her, and V1397 Her Contact Binary Systems
The first photometric light curve investigation of the NSVS 8294044, V1023 Her, and V1397 Her binary systems is presented. We used ground-based observations for the NSVS 8294044 system and Transiting Exoplanet Survey Satellite (TESS) data for V1023 Her and V1397 Her. The primary and secondary times of minima were extracted from all the data, and by collecting the literature, a new ephemeris was computed for each system. Linear fits for the O-C diagrams were conducted using the Markov chain Mont…

This https://arxiv.org/abs/2404.14458 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

The Duality Theory of Fractional Calculus and a New Fractional Calculus of Variations Involving Left Operators Only
Through duality it is possible to transform left fractional operators into right fractional operators and vice versa. In contrast to existing literature, we establish integration by parts formulas that exclusively involve either left or right operators. The emergence of these novel fractional integration by parts formulas inspires the introduction of a new calculus of variations, where only one type of fractional derivative (left or right) is present. This applies to both the problem formulatio…

This https://arxiv.org/abs/2401.09329 has been replaced.
link: https://scholar.google.com/scholar?q=a

Calibrate-Extrapolate: Rethinking Prevalence Estimation with Black Box Classifiers
In computational social science, researchers often use a pre-trained, black box classifier to estimate the frequency of each class in unlabeled datasets. A variety of prevalence estimation techniques have been developed in the literature, each yielding an unbiased estimate if certain stability assumption holds. This work introduces a framework to rethink the prevalence estimation process as calibrating the classifier outputs against ground truth labels to obtain the joint distribution of a base…

Root Graded Groups
Torben Wiedemann
https://arxiv.org/abs/2404.02042 https://arxiv.org/pdf/2404.02042<…

Root Graded Groups
We define and study root graded groups, that is, groups graded by finite root systems. This notion generalises several existing concepts in the literature, including in particular Jacques Tits' notion of RGD-systems. The most prominent examples of root graded groups are Chevalley groups over commutative associative rings. Our main result is that every root graded group of rank at least 3 is coordinatised by some algebraic structure satisfying a variation of the Chevalley commutator formula. Thi…

Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets
Andr\'es Bell-Navas, Nourelhouda Groun, Mar\'ia Villalba-Orero, Enrique Lara-Pezzi, Jes\'us Garicano-Mena, Soledad Le Clainche
https://arxiv.org/abs/2404.19579 https://arxiv.org/pdf/2404.19579
arXiv:2404.19579v1 Announce Type: new
Abstract: Heart diseases are the main international cause of human defunction. According to the WHO, nearly 18 million people decease each year because of heart diseases. Also considering the increase of medical data, much pressure is put on the health industry to develop systems for early and accurate heart disease recognition. In this work, an automatic cardiac pathology recognition system based on a novel deep learning framework is proposed, which analyses in real-time echocardiography video sequences. The system works in two stages. The first one transforms the data included in a database of echocardiography sequences into a machine-learning-compatible collection of annotated images which can be used in the training stage of any kind of machine learning-based framework, and more specifically with deep learning. This includes the use of the Higher Order Dynamic Mode Decomposition (HODMD) algorithm, for the first time to the authors' knowledge, for both data augmentation and feature extraction in the medical field. The second stage is focused on building and training a Vision Transformer (ViT), barely explored in the related literature. The ViT is adapted for an effective training from scratch, even with small datasets. The designed neural network analyses images from an echocardiography sequence to predict the heart state. The results obtained show the superiority of the proposed system and the efficacy of the HODMD algorithm, even outperforming pretrained Convolutional Neural Networks (CNNs), which are so far the method of choice in the literature.

If I still had the attention span necessary to read long-form writing, something on my reading lists might be: more literature that refutes arguments that support idolatry

K-Primitivity : A Literature Survey
Monimala Nej
https://arxiv.org/abs/2402.18586 https://arxiv.org/pdf/2402.18586

K-Primitivity : A Literature Survey
A nonnegative matrix A is said to be primitive if there exists a positive integer m such that entries in A^m are positive and smallest such m is called the exponent of A: Primitive matrices are useful in the study of finite Markov chains theory. In 1998, in the context of finite Markov chains, Ettore Fornasini and Maria Elena Valcher [6] extended the notion of primitivity for a nonnegative matrix pair (A;B) by considering a positive discrete homogeneous two-dimensional (2D) state model. Further…

This https://arxiv.org/abs/2311.06582 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Combinatory Array Logic with Sums
We prove an NP upper bound on a theory of integer-indexed integer-valued arrays that extends combinatory array logic with an ordering relation on the index set and the ability to express sums of elements. We compare our fragment with seven other fragments in the literature in terms of their expressiveness and computational complexity.

This https://arxiv.org/abs/2112.10248 has been replaced.
link: https://scholar.google.com/scholar?q=a

Efficient Modeling of Spatial Extremes over Large Geographical Domains
Various natural phenomena exhibit spatial extremal dependence at short spatial distances. However, existing models proposed in the spatial extremes literature often assume that extremal dependence persists across the entire domain. This is a strong limitation when modeling extremes over large geographical domains, and yet it has been mostly overlooked in the literature. We here develop a more realistic Bayesian framework based on a novel Gaussian scale mixture model, with the Gaussian process c…

This https://arxiv.org/abs/2310.02556 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

NOLA: Compressing LoRA using Linear Combination of Random Basis
Fine-tuning Large Language Models (LLMs) and storing them for each downstream task or domain is impractical because of the massive model size (e.g., 350GB in GPT-3). Current literature, such as LoRA, showcases the potential of low-rank modifications to the original weights of an LLM, enabling efficient adaptation and storage for task-specific models. These methods can reduce the number of parameters needed to fine-tune an LLM by several orders of magnitude. Yet, these methods face two primary l…

On Monadic Vector-Valued Integration
Benedikt Peterseim
https://arxiv.org/abs/2403.19681 https://arxiv.org/pdf/2403.19681

On Monadic Vector-Valued Integration
In recent times, there has been a growing interest in a structuralist understanding of probability, measure and integration theory. The present thesis contributes to this programme in three ways. First, we construct a commutative probability monad on the cartesian closed category of hk-spaces (also known as CGWH spaces, or weak Hausdorff k-spaces in the literature). Secondly, in order to achieve this in a seamless way, we develop the theory of paired linear hk-spaces, a functional-analytic cate…

This https://arxiv.org/abs/2402.16741 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csPL_…

Less is More Revisit
Multiparty session types (MPST) is a type discipline where a programmer or architect specifies a whole view of communications as a global protocol, and each distributed program is locally type-checked against its end-point projection. After 10 years from the birth of MPST, Scalas and Yoshida have discovered that the proofs of type safety in the literature which use the end-point projection with mergeability are flawed. After this paper, researchers wrongly believe that the end-point projection …

Study on the Temporal Evolution of Literature Bradford Curves in the Context of Library Specialization
Haobai Xue, Xian Liu
https://arxiv.org/abs/2404.19267

Study on the Temporal Evolution of Literature Bradford Curves in the Context of Library Specialization
The Bradford's law of bibliographic scattering is a fundamental law in bibliometrics and can provide valuable guidance to academic libraries in literature search and procurement. However, the Bradford's curves can take various shapes at different time points and there is still a lack of causal explanation for it, so the prediction of its shape is still an open question. This paper attributes the deviation of Bradford curve from the theoretical J-shape to the integer constraints of the journal n…

I have been diving into the #ClimateAI literature recently and one thing I notice, that I think is interesting is how many of the publications are authored by scientists who are not at traditionally high powered climate institutes, or often indeed from countries we see a lot of climate modelling literature from. And their names are often not classically WEIRD either. Which suggests

'The Art of Asking'. This is a call for papers for what looks like a really interesting conference in Utrecht, The Netherlands on the political economies of patronage in the cultural sector, past and present.
https://mecenaatstudies.sites.uu.nl/call-for-proposals/<…

Call for proposals
Call for proposals: The art of asking. Strategies of patronage solicitation through the ages in music, literature, visual arts, and intellectual culture Deadline: 15 April 2024 One-day conference, Utrecht University, The NetherlandsFriday November 15, 2024 In many European countries, the cultural sector is working towards establishing a (renewed) tradition of cultural patronage. Across the EU, individual makers are experimenting with building a community of private donors through crowdfunding p…

[2024-05-02 Thu (UTC), 1 new article found for cs.GL General Literature]

Posterior contraction rates in a sparse non-linear mixed-effects model
Marion Naveau (MIA Paris-Saclay), Maud Delattre (MaIAGE), Laure Sansonnet (MIA Paris-Saclay)
https://arxiv.org/abs/2405.01206

Posterior contraction rates in a sparse non-linear mixed-effects model
Recent works have shown an interest in investigating the frequentist asymptotic properties of Bayesian procedures for high-dimensional linear models under sparsity constraints. However, there exists a gap in the literature regarding analogous theoretical findings for non-linear models within the high-dimensional setting. The current study provides a novel contribution, focusing specifically on a non-linear mixed-effects model. In this model, the residual variance is assumed to be known, while t…

"Supporting Information Visualization Research in an Academic Library: Lessons Learned from an Analysis of the Literature" https://doi.org/10.5860/ital.v43i1.16867

1984 (Orwell):
"There was a whole chain of separate departments dealing with proletarian literature, music, drama, and entertainment generally. Here were produced rubbishy newspapers containing almost nothing except sport, crime and astrology, sensational five-cent novelettes, films oozing with sex, and sentimental songs which were composed entirely by mechanical means on a special kind of kaleidoscope known as a versificator."
Versificator - auch nen schöner Name dafür.…

A Preprocessing and Evaluation Toolbox for Trajectory Prediction Research on the Drone Datasets
Theodor Westny, Bj\"orn Olofsson, Erik Frisk
https://arxiv.org/abs/2405.00604 …

A Preprocessing and Evaluation Toolbox for Trajectory Prediction Research on the Drone Datasets
The availability of high-quality datasets is crucial for the development of behavior prediction algorithms in autonomous vehicles. This paper highlights the need for standardizing the use of certain datasets for motion forecasting research to simplify comparative analysis and proposes a set of tools and practices to achieve this. Drawing on extensive experience and a comprehensive review of current literature, we summarize our proposals for preprocessing, visualizing, and evaluation in the form…

Cybersecurity Pathways Towards CE-Certified Autonomous Forestry Machines
Mazen Mohamad, Ramana Reddy Avula, Peter Folkesson, Pierre Kleberger, Aria Mirzai, Martin Skoglund, Marvin Damschen
https://arxiv.org/abs/2404.19643

Cybersecurity Pathways Towards CE-Certified Autonomous Forestry Machines
The increased importance of cybersecurity in autonomous machinery is becoming evident in the forestry domain. Forestry worksites are becoming more complex with the involvement of multiple systems and system of systems. Hence, there is a need to investigate how to address cybersecurity challenges for autonomous systems of systems in the forestry domain. Using a literature review and adapting standards from similar domains, as well as collaborative sessions with domain experts, we identify challe…

This https://arxiv.org/abs/2308.14411 has been replaced.
link: https://scholar.google.com/scholar?q=a

Community College Articulation Agreement Websites: Students' Suggestions for New Academic Advising Software Features
Articulation agreements provide more transparency about how community college courses will transfer and fulfill university requirements. However, the literature displays conflicting results on whether articulation agreements improve transfer-related outcomes; perhaps one contributor to these conflicting research results is the subpar user experience of articulation agreement reports and the websites that host them. Accordingly, we surveyed and interviewed California community college transfer s…

Disentangling Exploration from Exploitation
Alessandro Lizzeri, Eran Shmaya, Leeat Yariv
https://arxiv.org/abs/2404.19116 https://arx…

Disentangling Exploration from Exploitation
Starting from Robbins (1952), the literature on experimentation via multi-armed bandits has wed exploration and exploitation. Nonetheless, in many applications, agents' exploration and exploitation need not be intertwined: a policymaker may assess new policies different than the status quo; an investor may evaluate projects outside her portfolio. We characterize the optimal experimentation policy when exploration and exploitation are disentangled in the case of Poisson bandits, allowing for gen…

This https://arxiv.org/abs/2311.02789 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Estimation and Inference for a Class of Generalized Hierarchical Models
In this paper, we consider estimation and inference for the unknown parameters and function involved in a class of generalized hierarchical models. Such models are of great interest in the literature of neural networks (such as Bauer and Kohler, 2019). We propose a rectified linear unit (ReLU) based deep neural network (DNN) approach, and contribute to the design of DNN by i) providing more transparency for practical implementation, ii) defining different types of sparsity, iii) showing the dif…

"Inspired by this philosophy, a developer only known by the nickname of “_why the lucky stiff” or simply “_why,” wrote The Poignant Guide to Ruby, which might as well qualify of the weirdest, funniest, most radically different, programming book of all time. In a sequence of vignettes, mixing tweaked pictures, drawings, and code snippets, _why introduces Ruby, its syntax, and its philosophy."

A Brief History Of Programming Artists
The literature of software development is filled with references to the "Art vs Science" dichotomy. This article presents a rather short and recessarily incomplete overview of projects, books and papers referring to the subject written in the past 50 years.

Could a video game developer win the Nobel Prize for Literature? https://theconversation.com/could-a-video-game-developer-win-the-nobel-prize-for-literature-227260

Nice overview:
The Latest “Crisis” — Is the Research Literature Overrun with ChatGPT- and LLM-generated Articles?
https://scholarlykitchen.sspnet.org/2024/03/20/the-latest-crisis-is-th…

The Latest "Crisis" - Is the Research Literature Overrun with ChatGPT- and LLM-generated Articles? - The Scholarly Kitchen
Journal articles with ChatGPT authored text are being found. How common is this in the literature? And how, or better yet, when, is this problematic text slipping through to publication?

#WritersCoffeeClub 28: Should you avoid colloquialisms?
That depends on the book, I suppose. And in dialogue, sure.
There's one thing I've discovered lately. There's rarely a right or wrong when it comes down to art and literature. It's all about flavour, tastes and imagination.
Can you say something in a new, enticing way, or is it better said with a fam…

Historians point out that it was only in the 1930s that Canada became predominantly urban. What we don't underline nearly as much, is that by 1960 the majority of Canada's urban population actually lived in suburbs. Due to several factors, not least of which is our shared disdain for suburbia, we have whole bodies of literature on single cities and next to nothing on the suburbs. How can we understand 20th-c history while ignoring the places so many people lived?

“We care too much about the appearance of seriousness, and not enough about the humility to realize that we draw inspiration, ideas, and momentum from sources all around us. The correct way to do #science must not be to cut ourselves from the world. We do science as whole individuals, shaped by our experiences, our interactions, and our culture. Every time we bring this to our research, we reaffirm…

Vol. 5 - We should cite pop culture more.
We should cite more than the scientific literature, because we understand the world around us through more than the scientific literature.

Evaluation of An Indoor Localization Engine
Christophe Villien, Anne Frassati, Bruno Flament
https://arxiv.org/abs/2404.19538 https://

Evaluation of An Indoor Localization Engine
Pedestrian Indoor localization based on modalities available in modern smartphones have been widely studied in literature and many of the specific challenges have been addressed. However, very few approaches consider the whole problem and proposed solutions are very often evaluated under very limited scenarios. We propose a fusion engine for localization that makes use of various data provided by a smartphone (Inertial sensors, pressure sensors, Wi-Fi, BLE, GNSS, map etc.) to provide a fused lo…

This https://arxiv.org/abs/2404.10942 has been replaced.
link: https://scholar.google.com/scholar?q=a

What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
In sequential decision-making problems involving sensitive attributes like race and gender, reinforcement learning (RL) agents must carefully consider long-term fairness while maximizing returns. Recent works have proposed many different types of fairness notions, but how unfairness arises in RL problems remains unclear. In this paper, we address this gap in the literature by investigating the sources of inequality through a causal lens. We first analyse the causal relationships governing the d…

This https://arxiv.org/abs/2308.02887 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking
When learning to rank from user interactions, search and recommender systems must address biases in user behavior to provide a high-quality ranking. One type of bias that has recently been studied in the ranking literature is when sensitive attributes, such as gender, have an impact on a user's judgment about an item's utility. For example, in a search for an expertise area, some users may be biased towards clicking on male candidates over female candidates. We call this type of bias group memb…

The orbital parameters of the del Cep inner binary system determined using 2019 HARPS-N spectroscopic data
N. Nardetto, V. Hocd\'e, P. Kervella, A. Gallenne, W. Gieren, D. Graczyk, A. Merand, M. Rainer, J. Storm, G. Pietrzynski, B. Pilecki, E. Poretti, M. Bailleul, G. Bras A. Afanasiev
https://arxiv.org/abs/2404.01851…

The orbital parameters of the del Cep inner binary system determined using 2019 HARPS-N spectroscopic data
An inner companion has recently been discovered orbiting the prototype of classical Cepheids, delta Cep, whose orbital parameters are still not fully constrained. We collected new precise radial velocity measurements of delta Cep in 2019 using the HARPS-N spectrograph mounted at the Telescopio Nazionale Galileo. Using these radial velocity measurements, we aimed to improve the orbital parameters of the system. We considered a template available in the literature as a reference for the radial ve…

This https://arxiv.org/abs/2312.16320 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Neutrino Lorentz Invariance Violation from Cosmic Fields
From a cosmological perspective, scalar fields are well-motivated dark matter and dark energy candidates. Several possibilities of neutrino couplings with a time-varying cosmic field have been investigated in the literature. In this work, we present a framework in which violations of Lorentz invariance (LIV) and $CPT$ symmetry in the neutrino sector could arise from an interaction among neutrinos with a time-varying scalar field. Furthermore, some cosmological and phenomenological aspects and c…

Magnetic control of magnetotactic bacteria swarms
Mihails Birjukovs, Klaas Bente, Damien Faivre, Guntars Kitenbergs, Andrejs Cebers
https://arxiv.org/abs/2404.18941 https://arxiv.org/pdf/2404.18941
arXiv:2404.18941v1 Announce Type: new
Abstract: Magnetotactic bacteria (MTB) are of significant fundamental and practical interest, especially for applications such as drug delivery and general-purpose object manipulators and payload carriers. While magnetic and other modes of control for individual MTB have been demonstrated, formation, motion and control of MTB swarms are much less studied and understood. Here, we present a torque dipole-based theoretical model for magnetic control of MTB swarms and two methods for swarm formation, and provide experimental validation of the proposed motion model. Model predictions are in good qualitative and quantitative agreement with experiments and literature. Additionally, we were able to determine the torque generated by Magnetospirillium gryphiswaldense (MSR-1) MTB, and the value corresponds to the reported estimates reasonably well.

This https://arxiv.org/abs/2404.00940 has been replaced.
link: https://scholar.google.com/scholar?q=a

Sequential Decision-Making under Uncertainty: A Robust MDPs review
This review paper provides an in-depth overview of the evolution and advancements in Robust Markov Decision Processes (RMDPs), a field of paramount importance for its role in sequential decision-making amidst uncertainty. Fueled by advances in robust optimization theory and the increasing applications of reinforcement learning techniques, RMDPs literature has been enriched extensively. The review focuses on the formulation of RMDPs, particularly ambiguity sets modeling, which is central to hedg…

This https://arxiv.org/abs/2402.12928 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
By consolidating scattered knowledge, the literature review provides a comprehensive understanding of the investigated topic. However, excessive reviews, especially in the booming field of pattern analysis and machine intelligence (PAMI), raise concerns for both researchers and reviewers. In response to these concerns, this Analysis aims to provide a thorough review of reviews in the PAMI field from diverse perspectives. First, large language model-empowered bibliometric indicators are proposed…

This https://arxiv.org/abs/2303.00614 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone
There are emerging transportation problems known as the Traveling Salesman Problem with Drone (TSPD) and the Flying Sidekick Traveling Salesman Problem (FSTSP) that involve using a drone in conjunction with a truck for package delivery. This study presents a hybrid genetic algorithm for solving TSPD and FSTSP by incorporating local search and dynamic programming. Similar algorithms exist in the literature. Our algorithm, however, considers more sophisticated chromosomes and less computationally…

Billiards in polyhedra: a method to convert 2-dimensional uniformity to 3-dimensional uniformity
J. Beck, W. W. L. Chen, Y. Yang
https://arxiv.org/abs/2403.19954

Billiards in polyhedra: a method to convert 2-dimensional uniformity to 3-dimensional uniformity
The class of 2-dimensional non-integrable flat dynamical systems has a rather extensive literature with many deep results, but the methods developed for this type of problems, both the traditional approach via Teichmüller geometry and our recent shortline-ancestor method, appear to be exclusively plane-specific. Thus we know very little of any real significance concerning 3-dimensional systems. Our purpose here is to describe some very limited extensions of uniformity in 2 dimensions to unif…

This https://arxiv.org/abs/2312.16958 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A survey on set-theoretical solutions to the pentagon equation
This survey aims to collect the main results of the theory of the set-theoretical solutions to the pentagon equation obtained up to now in the literature. In particular, we present some classes of these solutions and raise some questions.

Can someone here explain why heatpumps are the new hotness? (Sorry.) Despite the hype, all I can discern is that they are just air conditioners that can pump in the other direction ("reverse cycle"), and the thermodynamics is poorly explained in the popular literature. Why are they suddenly the thing that can save the world? What am I missing?
My degree is in physics. I can handle the truth.
Thank you.

This https://arxiv.org/abs/2307.10651 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Distributional Regression for Data Analysis
Flexible modeling of the entire distribution as a function of covariates is an important generalization of mean-based regression that has seen growing interest over the past decades in both the statistics and machine learning literature. This review outlines selected state-of-the-art statistical approaches to distributional regression, complemented with alternatives from machine learning. Topics covered include the similarities and differences between these approaches, extensions, properties an…

On Monadic Vector-Valued Integration
Benedikt Peterseim
https://arxiv.org/abs/2403.19681 https://arxiv.org/pdf/2403.19681

On Monadic Vector-Valued Integration
In recent times, there has been a growing interest in a structuralist understanding of probability, measure and integration theory. The present thesis contributes to this programme in three ways. First, we construct a commutative probability monad on the cartesian closed category of hk-spaces (also known as CGWH spaces, or weak Hausdorff k-spaces in the literature). Secondly, in order to achieve this in a seamless way, we develop the theory of paired linear hk-spaces, a functional-analytic cate…

Securing Bluetooth Low Energy: A Literature Review
Zhe Wang
https://arxiv.org/abs/2404.16846 https://arxiv.org/pdf/2404.16846<…

Securing Bluetooth Low Energy: A Literature Review
Bluetooth Low Energy (BLE) technology, operating within the widely used 2.4 GHz ISM band, stands as a cornerstone in modern wireless communication frameworks alongside its classic Bluetooth counterpart. This paper delves into the foundational aspects of BLE, excluding niche components, to explore its core functionalities and pivotal role in diverse connectivity needs. BLE's specialization in catering to low-power devices ensures optimal energy utilization, making it indispensable in IoT applica…

[2024-04-03 Wed (UTC), no new articles found for cs.GL General Literature]

On the Scaling Laws of Geographical Representation in Language Models
Nathan Godey, \'Eric de la Clergerie, Beno\^it Sagot
https://arxiv.org/abs/2402.19406

On the Scaling Laws of Geographical Representation in Language Models
Language models have long been shown to embed geographical information in their hidden representations. This line of work has recently been revisited by extending this result to Large Language Models (LLMs). In this paper, we propose to fill the gap between well-established and recent literature by observing how geographical knowledge evolves when scaling language models. We show that geographical knowledge is observable even for tiny models, and that it scales consistently as we increase the m…

Asymptotic Results for Penalized Quasi-Likelihood Estimation in Generalized Linear Mixed Models
Xu Ning, Francis Hui, Alan Welsh
https://arxiv.org/abs/2405.01026

Asymptotic Results for Penalized Quasi-Likelihood Estimation in Generalized Linear Mixed Models
Generalized Linear Mixed Models (GLMMs) are widely used for analysing clustered data. One well-established method of overcoming the integral in the marginal likelihood function for GLMMs is penalized quasi-likelihood (PQL) estimation, although to date there are few asymptotic distribution results relating to PQL estimation for GLMMs in the literature. In this paper, we establish large sample results for PQL estimators of the parameters and random effects in independent-cluster GLMMs, when both …

Predictions for Composite Higgs models from gauge/gravity dualities
Werner Porod
https://arxiv.org/abs/2405.00633 https://arxiv.org/p…

Predictions for Composite Higgs models from gauge/gravity dualities
Gauge/gravity dualities provide a very useful approach into solving strongly coupled systems. We apply this to Composite Higgs models and determine the mass hierarchies of the corresponding bound states. As a cross check we apply this to QCD and compare the results to existing lattice calculations for which we find good agreement. We then focus on a particular example whose phenomenology has recently been studied in the literature in a generic way and outline first phenomenological implications…

Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method
Zhixin Guo, Tao Wang, Chaoyang Wang, Jianping Zhou, Guanjie Zheng, Xinbing Wang, Chenghu Zhou
https://arxiv.org/abs/2403.18306

Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method
The rare earth elements Sm and Nd significantly address fundamental questions about crustal growth, such as its spatiotemporal evolution and the interplay between orogenesis and crustal accretion. Their relative immobility during high-grade metamorphism makes the Sm-Nd isotopic system crucial for inferring crustal formation times. Historically, data have been disseminated sporadically in the scientific literature due to complicated and costly sampling procedures, resulting in a fragmented knowl…

Cutting-Edge Tools for Cutting Edges
Ruth Britto, Claude Duhr, Holmfridur S. Hannesdottir, Sebastian Mizera
https://arxiv.org/abs/2402.19415 https://

Cutting-Edge Tools for Cutting Edges
We review different notions of cuts appearing throughout the literature on scattering amplitudes. Despite similar names, such as unitarity cuts or generalized cuts, they often represent distinct computations and distinct physics. We consolidate this knowledge, summarize how cuts are used in various computational strategies, and explain their relations to other quantities including imaginary parts, discontinuities, and monodromies. Differences and nuances are illustrated on explicit examples.

This https://arxiv.org/abs/2402.14485 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Machine-Checked Categorical Diagrammatic Reasoning
This paper describes a formal proof library, developed using the Coq proof assistant, designed to assist users in writing correct diagrammatic proofs, for 1-categories. This library proposes a deep-embedded, domain-specific formal language, which features dedicated proof commands to automate the synthesis, and the verification, of the technical parts often eluded in the literature.

This https://arxiv.org/abs/2107.07264 has been replaced.
link: https://scholar.google.com/scholar?q=a

Automatic Resource Allocation in Business Processes: A Systematic Literature Survey
For delivering products or services to their clients, organizations execute manifold business processes. During such execution, upcoming process tasks need to be allocated to internal resources. Resource allocation is a complex decision-making problem with high impact on the effectiveness and efficiency of processes. A wide range of approaches was developed to support research allocation automatically. This systematic literature survey provides an overview of approaches and categorizes them reg…

LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow
Ziyu Yue, Jiaxin Gao, Sihan Xie, Yang Liu, Zhixun Su
https://arxiv.org/abs/2402.18871

LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow
The visibility of real-world images is often limited by both low-light and low-resolution, however, these issues are only addressed in the literature through Low-Light Enhancement (LLE) and Super- Resolution (SR) methods. Admittedly, a simple cascade of these approaches cannot work harmoniously to cope well with the highly ill-posed problem for simultaneously enhancing visibility and resolution. In this paper, we propose a normalizing flow network, dubbed LoLiSRFLow, specifically designed to co…

This https://arxiv.org/abs/2402.11352 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Unified Capacity Results for Free-Space Optical Communication Systems Over Gamma-Gamma Atmospheric Turbulence Channels
In terrestrial free-space optical (FSO) communication systems, adaptive power control at the optical laser transmitters is crucial not only to prolong the life span of the laser sources, but more importantly to maintain robust and spectrally efficient communication through atmospheric turbulence. However, a comprehensive study of dynamic power adaptation in existing FSO systems is lacking in the literature. In this paper, we investigate FSO communication systems capable of adaptive laser power …

A University Framework for the Responsible use of Generative AI in Research
Shannon Smith, Melissa Tate, Keri Freeman, Anne Walsh, Brian Ballsun-Stanton, Mark Hooper, Murray Lane
https://arxiv.org/abs/2404.19244 https://arxiv.org/pdf/2404.19244
arXiv:2404.19244v1 Announce Type: new
Abstract: Generative Artificial Intelligence (generative AI) poses both opportunities and risks for the integrity of research. Universities must guide researchers in using generative AI responsibly, and in navigating a complex regulatory landscape subject to rapid change. By drawing on the experiences of two Australian universities, we propose a framework to help institutions promote and facilitate the responsible use of generative AI. We provide guidance to help distil the diverse regulatory environment into a principles-based position statement. Further, we explain how a position statement can then serve as a foundation for initiatives in training, communications, infrastructure, and process change. Despite the growing body of literature about AI's impact on academic integrity for undergraduate students, there has been comparatively little attention on the impacts of generative AI for research integrity, and the vital role of institutions in helping to address those challenges. This paper underscores the urgency for research institutions to take action in this area and suggests a practical and adaptable framework for so doing.

[2024-04-02 Tue (UTC), no new articles found for cs.GL General Literature]

This https://arxiv.org/abs/2303.00614 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone
There are emerging transportation problems known as the Traveling Salesman Problem with Drone (TSPD) and the Flying Sidekick Traveling Salesman Problem (FSTSP) that involve using a drone in conjunction with a truck for package delivery. This study presents a hybrid genetic algorithm for solving TSPD and FSTSP by incorporating local search and dynamic programming. Similar algorithms exist in the literature. Our algorithm, however, considers more sophisticated chromosomes and less computationally…

This https://arxiv.org/abs/2402.16363 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

LLM Inference Unveiled: Survey and Roofline Model Insights
The field of efficient Large Language Model (LLM) inference is rapidly evolving, presenting a unique blend of opportunities and challenges. Although the field has expanded and is vibrant, there hasn't been a concise framework that analyzes the various methods of LLM Inference to provide a clear understanding of this domain. Our survey stands out from traditional literature reviews by not only summarizing the current state of research but also by introducing a framework based on roofline model f…

Pose-free object classification from surface contact features in sequences of Robotic grasps
Teresa Alves, Alexandre Bernardino, Plinio Moreno
https://arxiv.org/abs/2403.19840

Pose-free object classification from surface contact features in sequences of Robotic grasps
In this work, we propose two cost efficient methods for object identification, using a multi-fingered robotic hand equipped with proprioceptive sensing. Both methods are trained on known objects and rely on a limited set of features, obtained during a few grasps on an object. Contrary to most methods in the literature, our methods do not rely on the knowledge of the relative pose between object and hand, which greatly expands the domain of application. However, if that knowledge is available, w…

This https://arxiv.org/abs/2311.08770 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

A proof-of-concept online metadata catalogue service of Earth observation datasets for human health research in exposomics
This article describes research carried out during 2023 under an International Society for Photogrammetry and Remote Sensing (ISPRS)-funded project to develop and disseminate a metadata catalogue of Earth observation data sources/products and types that are relevant to human health research in exposomics, as a free service to interested researchers worldwide. The proof-of-concept catalogue was informed by input from existing research literature on the subject (desk research), as well as online …

This https://arxiv.org/abs/2403.08127 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Guidelines for the Creation of Analysis Ready Data
Globally, there is an increased need for guidelines to produce high-quality data outputs for analysis. No framework currently exists that provides guidelines for a comprehensive approach to producing analysis ready data (ARD). Through critically reviewing and summarising current literature, this paper proposes such guidelines for the creation of ARD. The guidelines proposed in this paper inform ten steps in the generation of ARD: ethics, project documentation, data governance, data management, …

SoK: Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Akila Wickramasekara, Frank Breitinger, Mark Scanlon
https://arxiv.org/abs/2402.19366

SoK: Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
The growing number of cases requiring digital forensic analysis raises concerns about law enforcement's ability to conduct investigations promptly. Consequently, this systemisation of knowledge paper delves into the potential and effectiveness of integrating Large Language Models (LLMs) into digital forensic investigation to address these challenges. A thorough literature review is undertaken, encompassing existing digital forensic models, tools, LLMs, deep learning techniques, and the utilisat…

This https://arxiv.org/abs/2302.01958 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Notes on the type classification of von Neumann algebras
These notes provide an explanation of the type classification of von Neumann algebras, which has made many appearances in recent work on entanglement in quantum field theory and quantum gravity. The goal is to bridge a gap in the literature between resources that are too technical for the non-expert reader, and resources that seek to explain the broad intuition of the theory without giving precise definitions. Reading these notes will provide you with: (i) an argument for why "factors" are the …

This https://arxiv.org/abs/2107.07264 has been replaced.
link: https://scholar.google.com/scholar?q=a

Automatic Resource Allocation in Business Processes: A Systematic Literature Survey
For delivering products or services to their clients, organizations execute manifold business processes. During such execution, upcoming process tasks need to be allocated to internal resources. Resource allocation is a complex decision-making problem with high impact on the effectiveness and efficiency of processes. A wide range of approaches was developed to support research allocation automatically. This systematic literature survey provides an overview of approaches and categorizes them reg…

Enhancing Autonomous Vehicle Design and Testing: A Comprehensive Review of AR and VR Integration
Emanuella Ejichukwu, Lauren Tong, Gadir Hazime, Bochen Jia
https://arxiv.org/abs/2404.19021 https://arxiv.org/pdf/2404.19021
arXiv:2404.19021v1 Announce Type: new
Abstract: This comprehensive literature review explores the potential of Augmented Reality and Virtual Reality technologies to enhance the design and testing of autonomous vehicles. By analyzing existing research, the review aims to identify how AR and VR can be leveraged to improve various aspects of autonomous vehicle development, including: creating more realistic and comprehensive testing environments, facilitating the design of user centered interfaces, and safely evaluating driver behavior in complex scenarios. Ultimately, the review highlights AR and VR utilization as a key driver in the development of adaptable testing environments, fostering more dependable autonomous vehicle technology, and ultimately propelling significant advancements within the field.

[2024-05-03 Fri (UTC), no new articles found for cs.GL General Literature]

Joint Chance Constrained Optimal Control via Linear Programming
Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros
https://arxiv.org/abs/2402.19360

Joint Chance Constrained Optimal Control via Linear Programming
We establish a linear programming formulation for the solution of joint chance constrained optimal control problems over finite time horizons. The joint chance constraint may represent an invariance, reachability or reach-avoid specification that the trajectory must satisfy with a predefined probability. Compared to the existing literature, the formulation is computationally tractable and the solution exact.

This https://arxiv.org/abs/2403.08127 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Guidelines for the Creation of Analysis Ready Data
Globally, there is an increased need for guidelines to produce high-quality data outputs for analysis. No framework currently exists that provides guidelines for a comprehensive approach to producing analysis ready data (ARD). Through critically reviewing and summarising current literature, this paper proposes such guidelines for the creation of ARD. The guidelines proposed in this paper inform ten steps in the generation of ARD: ethics, project documentation, data governance, data management, …

This https://arxiv.org/abs/2402.14485 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Machine-Checked Categorical Diagrammatic Reasoning
This paper describes a formal proof library, developed using the Coq proof assistant, designed to assist users in writing correct diagrammatic proofs, for 1-categories. This library proposes a deep-embedded, domain-specific formal language, which features dedicated proof commands to automate the synthesis, and the verification, of the technical parts often eluded in the literature.

This https://arxiv.org/abs/2310.11152 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Revisiting representations of quark mixing matrix
Using unitarity, unlike the approaches available in the literature, we have constructed 9 independent representations of CKM matrix starting with each of the 9 elements of the matrix. The relationship of these independently constructed representations with the already available ones in the literature has been compared and discussed. Further, the implications of these representations have been explored for some of the CKM parameters such as δ, J and ε_k. Interestingly, we find that the PDG rep…

This https://arxiv.org/abs/2309.16328 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Boundary terms in the Witten-Sakai-Sugimoto model at finite density
We consider the Witten-Sakai-Sugimoto model in the approximation of smeared instantons at finite density via a homogeneous Ansatz, which is known to be discontinuous in order to be able to contain a nonvanishing baryon density. The discontinuity at the infrared tip of the bulk spacetime gives rise to subtleties of discarding boundary terms that are normally discarded in the literature. We propose a reason for discarding this boundary term, by scrutinizing the currents and topological properties…

This https://arxiv.org/abs/2402.08436 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

The current state of security -- Insights from the German software industry
These days, software development and security go hand in hand. Numerous techniques and strategies are discussed in the literature that can be applied to guarantee the incorporation of security into the software development process. In this paper the main ideas of secure software development that have been discussed in the literature are outlined. Next, a dataset on implementation in practice is gathered through a qualitative interview research involving 20 companies. Trends and correlations in …

This https://arxiv.org/abs/2311.09736 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

CARE: Extracting Experimental Findings From Clinical Literature
Extracting fine-grained experimental findings from literature can provide dramatic utility for scientific applications. Prior work has developed annotation schemas and datasets for limited aspects of this problem, failing to capture the real-world complexity and nuance required. Focusing on biomedicine, this work presents CARE -- a new IE dataset for the task of extracting clinical findings. We develop a new annotation schema capturing fine-grained findings as n-ary relations between entities a…

This https://arxiv.org/abs/2310.19548 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Approximation Theory, Computing, and Deep Learning on the Wasserstein Space
The challenge of approximating functions in infinite-dimensional spaces from finite samples is widely regarded as formidable. In this study, we delve into the challenging problem of the numerical approximation of Sobolev-smooth functions defined on probability spaces. Our particular focus centers on the Wasserstein distance function, which serves as a relevant example. In contrast to the existing body of literature focused on approximating efficiently pointwise evaluations, we chart a new cours…

This https://arxiv.org/abs/2402.12928 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
By consolidating scattered knowledge, the literature review provides a comprehensive understanding of the investigated topic. However, excessive reviews, especially in the booming field of pattern analysis and machine intelligence (PAMI), raise concerns for both researchers and reviewers. In response to these concerns, this Analysis aims to provide a thorough review of reviews in the PAMI field from diverse perspectives. First, large language model-empowered bibliometric indicators are proposed…

This https://arxiv.org/abs/2402.16363 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

LLM Inference Unveiled: Survey and Roofline Model Insights
The field of efficient Large Language Model (LLM) inference is rapidly evolving, presenting a unique blend of opportunities and challenges. Although the field has expanded and is vibrant, there hasn't been a concise framework that analyzes the various methods of LLM Inference to provide a clear understanding of this domain. Our survey stands out from traditional literature reviews by not only summarizing the current state of research but also by introducing a framework based on roofline model f…