Tootfinder

I spent the weekend hiking and trail running in the Blue Mountains, NSW, and it was a tale of 2 weather systems. Nothing but fog on day one (first pic), but rewarded with classic Blue Mountains views and blue skies on day 2. Even in bad weather it’s a brilliant place to hike or run. #trailrunning #bushwalking

This https://arxiv.org/abs/2404.14831 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Towards Universal Dense Blocking for Entity Resolution
Blocking is a critical step in entity resolution, and the emergence of neural network-based representation models has led to the development of dense blocking as a promising approach for exploring deep semantics in blocking. However, previous advanced self-supervised dense blocking approaches require domain-specific training on the target domain, which limits the benefits and rapid adaptation of these methods. To address this issue, we propose UBlocker, a dense blocker that is pre-trained on a …

TIL that a black hole isn't even a hole. It's more like a mole. :kermitsip:
Black Hole Basics
:mastodon:
https://science.nasa.gov/universe/black-holes/

Black Holes
Black Holes Black holes are among the most mysterious cosmic objects, much studied but not fully understood. These objects aren’t really holes. They’re huge concentrations of matter packed into very tiny spaces. A black hole is so dense that gravity just beneath its surface, the event horizon, is strong enough that nothing – not even […]

Hi from our nice little walk along the river #isar here.
It's a beautiful sunny #sunday with lots of fresh air. Just a beautiful walk with #spring all around.
Now some coffee and maybe some r…

A research team has used the Effelsberg and Jodrell Bank radio telescopes to observe the precessing magnetar XTE J1810-197 — a highly magnetised and ultra-dense neutron star — shortly after its X-ray enhanced activity and radio reactivation. This precession damped on a timescale of a few months, which challenges some models used to explain the origin of the mysterious repeating fast radio bursts.

A wobbling magnetised star challenges the origin of repeating fast radio bursts

This https://arxiv.org/abs/2302.00352 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Flip-width: Cops and Robber on dense graphs
We define new graph parameters, called flip-width, that generalize treewidth, degeneracy, and generalized coloring numbers for sparse graphs, and clique-width and twin-width for dense graphs. The flip-width parameters are defined using variants of the Cops and Robber game, in which the robber has speed bounded by a fixed constant $r\in\mathbb N\cup\{\infty\}$, and the cops perform flips (or perturbations) of the considered graph. We then propose a new notion of tameness of a graph class, called…

Adaptive Frequency Bin Interval in FFT via Dense Sampling Factor $\alpha$
Haichao Xu
https://arxiv.org/abs/2403.16665 https://arxiv.o…

Adaptive Frequency Bin Interval in FFT via Dense Sampling Factor $α$
The Fast Fourier Transform (FFT) is a fundamental tool for signal analysis, widely used across various fields. However, traditional FFT methods encounter challenges in adjusting the frequency bin interval, which may impede accurate spectral analysis. In this study, we propose a method for adjusting the frequency bin interval in FFT by introducing a parameter $α$. We elucidate the underlying principles of the proposed method and discuss its potential applications across various contexts. Our fi…

This https://arxiv.org/abs/2308.10025 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

I3: Intent-Introspective Retrieval Conditioned on Instructions
Recent studies indicate that dense retrieval models struggle to perform well on a wide variety of retrieval tasks that lack dedicated training data, as different retrieval tasks often entail distinct search intents. To address this challenge, in this work we leverage instructions to flexibly describe retrieval intents and introduce I3, a unified retrieval system that performs Intent-Introspective retrieval across various tasks, conditioned on Instructions without any task-specific training. I3 …

A research team has used the Effelsberg and Jodrell Bank radio telescopes to observe the precessing magnetar XTE J1810-197 — a highly magnetised and ultra-dense neutron star — shortly after its X-ray enhanced activity and radio reactivation. This precession damped on a timescale of a few months, which challenges some models used to explain the origin of the mysterious repeating fast radio bursts.

A wobbling magnetised star challenges the origin of repeating fast radio bursts

#goodmorning friends!
This is the place that I'd like to be now. But well, you can't have it all. But I do have my memories of this day! I'm so looking forward to those spring days now.
Nevertheless, don't forget the most important thing: enjoy your #sunday! I hope you…

Late-April Solitude: A Solo Alpine Journey
In the quiet majesty of a late-April solo hike, the mountain landscape revealed a subtle beauty in transition. The snow-covered peaks, the muted hues of transitioning grass, and the dance of light and shadow became a testament to the unfiltered allure of nature awakening from its winter slumber.

This https://arxiv.org/abs/2309.04937 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

LONER: LiDAR Only Neural Representations for Real-Time SLAM
This paper proposes LONER, the first real-time LiDAR SLAM algorithm that uses a neural implicit scene representation. Existing implicit mapping methods for LiDAR show promising results in large-scale reconstruction, but either require groundtruth poses or run slower than real-time. In contrast, LONER uses LiDAR data to train an MLP to estimate a dense map in real-time, while simultaneously estimating the trajectory of the sensor. To achieve real-time performance, this paper proposes a novel inf…

This https://arxiv.org/abs/2401.03898 has been replaced.
link: https://scholar.google.com/scholar?q=a

Ultra-Dense Cell-Free Massive MIMO for 6G: Technical Overview and Open Questions
Ultra-dense cell-free massive multiple-input multiple-output (CF-MMIMO) has emerged as a promising technology expected to meet the future ubiquitous connectivity requirements and ever-growing data traffic demands in 6G. This article provides a contemporary overview of ultra-dense CF-MMIMO networks, and addresses important unresolved questions on their future deployment. We first present a comprehensive survey of state-of-the-art research on CF-MMIMO and ultra-dense networks. Then, we discuss th…

pure eyeball kicks & innocent stoned-ass goofiness in the only issue of suds, by buckwheat florida jr., 1969. #comix

Suds : Buckwheat Florida Jr. : Free Download, Borrow, and Streaming : Internet Archive
from comixjoint:Buckwheat Florida Jr. has an enigmatic past that probably has nothing to do with buckwheat or Florida. He was apparently living in San...

This https://arxiv.org/abs/2306.14472 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Pion condensation in dense QCD, the dilute Bose gas, and speedy Goldstone bosons
We consider pion condensation in QCD at finite isospin density $μ_I$ and zero temperature using two-flavor chiral perturbation theory ($χ$PT). The pressure is calculated to next-to-leading order (NLO) in the low-energy expansion. In the nonrelativistic limit, we recover the classic result by Lee, Huang, and Yang for the energy density of a dilute Bose gas with an $s$-wave scattering length that includes loop corrections from $χ$PT. In the chiral limit, higher-order calculations are tractable…

Gradient-enhanced deep Gaussian processes for multifidelity modelling
Viv Bone, Chris van der Heide, Kieran Mackle, Ingo H. J. Jahn, Peter M. Dower, Chris Manzie
https://arxiv.org/abs/2402.16059

Gradient-enhanced deep Gaussian processes for multifidelity modelling
Multifidelity models integrate data from multiple sources to produce a single approximator for the underlying process. Dense low-fidelity samples are used to reduce interpolation error, while sparse high-fidelity samples are used to compensate for bias or noise in the low-fidelity samples. Deep Gaussian processes (GPs) are attractive for multifidelity modelling as they are non-parametric, robust to overfitting, perform well for small datasets, and, critically, can capture nonlinear and input-de…

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou
https://arxiv.org/abs/2404.13556

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
Conversational search requires accurate interpretation of user intent from complex multi-turn contexts. This paper presents ChatRetriever, which inherits the strong generalization capability of large language models to robustly represent complex conversational sessions for dense retrieval. To achieve this, we propose a simple and effective dual-learning approach that adapts LLM for retrieval via contrastive learning while enhancing the complex session understanding through masked instruction tu…

Tidal Disruption Encores
Taeho Ryu, Rosalba Perna, Matteo Cantiello
https://arxiv.org/abs/2402.15590 https://arxiv.org/pdf/2402.15590…

Tidal Disruption Encores
Nuclear star clusters (NSCs), made up of a dense concentrations of stars and the compact objects they leave behind, are ubiquitous in the central regions of galaxies, surrounding the central supermassive black hole (SMBH). Close interactions between stars and stellar-mass black holes (sBH) lead to tidal disruption events (TDEs). We uncover an interesting new phenomenon: For a subset of these, the unbound debris (to the sBH) remain bound to the SMBH, accreting at a later time, and thus giving ri…

Spin Doctors: How to diagnose a hierarchical merger origin
Ethan Payne, Kyle Kremer, Michael Zevin
https://arxiv.org/abs/2402.15066 https://

Spin Doctors: How to diagnose a hierarchical merger origin
Gravitational-wave observations provide the unique opportunity of studying black hole formation channels and histories -- but only if we can identify their origin. One such formation mechanism is the dynamical synthesis of black hole binaries in dense stellar systems. Given the expected isotropic distribution of component spins of binary black hole in gas-free dynamical environments, the presence of anti-aligned or in-plane spins with respect to the orbital angular momentum is considered a tell…

Finch: Sparse and Structured Array Programming with Control Flow
Willow Ahrens, Teodoro Fields Collin, Radha Patel, Kyle Deeds, Changwan Hong, Saman Amarasinghe
https://arxiv.org/abs/2404.16730

Finch: Sparse and Structured Array Programming with Control Flow
From FORTRAN to NumPy, arrays have revolutionized how we express computation. However, arrays in these, and almost all prominent systems, can only handle dense rectilinear integer grids. Real world arrays often contain underlying structure, such as sparsity, runs of repeated values, or symmetry. Support for structured data is fragmented and incomplete. Existing frameworks limit the array structures and program control flow they support to better simplify the problem. In this work, we propose …

Transformer-Based Local Feature Matching for Multimodal Image Registration
Remi Delaunay, Ruisi Zhang, Filipe C. Pedrosa, Navid Feizi, Dianne Sacco, Rajni Patel, Jayender Jagadeesan
https://arxiv.org/abs/2404.16802

Transformer-Based Local Feature Matching for Multimodal Image Registration
Ultrasound imaging is a cost-effective and radiation-free modality for visualizing anatomical structures in real-time, making it ideal for guiding surgical interventions. However, its limited field-of-view, speckle noise, and imaging artifacts make it difficult to interpret the images for inexperienced users. In this paper, we propose a new 2D ultrasound to 3D CT registration method to improve surgical guidance during ultrasound-guided interventions. Our approach adopts a dense feature matching…

Mesoscopic Lattice Boltzmann modeling of dense gas flows in curvilinear geometries
Sergiu Busuioc
https://arxiv.org/abs/2403.15051 https://

Mesoscopic Lattice Boltzmann modeling of dense gas flows in curvilinear geometries
We derive the Enskog equation utilizing orthonormal vielbein fields, enabling the utilization of arbitrary coordinate systems to characterize spatial geometry. Additionally, we employ an adapted coordinate system in the momentum space, connected to the physical space through vielbeins. Within this framework, the momentum component perpendicular to a curved boundary can be treated as an independent one, facilitating the application of half-range Gauss-Hermite quadratures. We develop an appropria…

Towards Universal Dense Blocking for Entity Resolution
Tianshu Wang, Hongyu Lin, Xianpei Han, Xiaoyang Chen, Boxi Cao, Le Sun
https://arxiv.org/abs/2404.14831

Towards Universal Dense Blocking for Entity Resolution
Blocking is a critical step in entity resolution, and the emergence of neural network-based representation models has led to the development of dense blocking as a promising approach for exploring deep semantics in blocking. However, previous advanced self-supervised dense blocking approaches require domain-specific training on the target domain, which limits the benefits and rapid adaptation of these methods. To address this issue, we propose UBlocker, a dense blocker that is pre-trained on a …

I went to the art opening for a trans photographer today. The usual thing: portraits of trans folks from all over the country.
Something unusual though: I didn't know any of the subjects nor the photographer. It's the first time. (I’ve probably been to a dozen such events in my life)
There's so many of us now. So many of us who are OUT. So many of us who are out, and just living our lives, not this dense clique of folks willing to be out on the Internet. If you asked me "who's the guy you talk to about being trans? Like who's been around, who's well known that they're The Guy?”, I couldn't tell you anymore.
And that's lovely. That's the way it should be.

This https://arxiv.org/abs/2402.03910 has been replaced.
link: https://scholar.google.com/scholar?q=a

Understanding Trends, Patterns, and Dynamics in Global Acquisitions: A Network Perspective
Studying acquisitions offers invaluable insights into startup trends, aiding informed investment decisions for businesses. However, the scarcity of studies in this domain prompts our focus on shedding light in this area. Employing Crunchbase data, our study delves into the global network of company acquisitions using diverse network analysis techniques. Our findings unveil an acquisition network characterized by a primarily sparse structure comprising localized dense connections. We reveal a pr…

This https://arxiv.org/abs/2309.16648 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Hausdorff vs Gromov-Hausdorff distances
Let $M$ be a closed Riemannian manifold and let $X\subseteq M$. If the sample $X$ is sufficiently dense relative to the curvature of $M$, then the Gromov--Hausdorff distance between $X$ and $M$ is bounded from below by half their Hausdorff distance, namely $d_{GH}(X,M) \ge \frac{1}{2} d_H(X,M)$. The constant $\frac{1}{2}$ can be improved depending on the dimension and curvature of the manifold $M$, and obtains the optimal value $1$ in the case of the unit circle, meaning that if $X\subseteq S^1…

This https://arxiv.org/abs/2307.05621 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nuc…

Thermal phonon fluctuations and stability of the magnetic dual chiral density wave phase in dense QCD
We study the stability against thermal phonon fluctuations of the magnetic dual chiral density wave (MDCDW) phase, an inhomogeneous phase arising in cold dense QCD in a magnetic field. Following a recent study that demonstrated the absence of the Landau-Peierls (LP) instability from this phase, we calculate the (threshold) temperature at which the phonon fluctuations wash out the long-range order over a range of magnetic fields and densities relevant to astrophysical applications. Using a high-…

Hi friends, as we don't do a larger hike today so that my wife will fully recover for her upcoming business trip, I decided to write a blog post for a hike last April.
I also added 2 before/after photos which I found worthful to share. It reminds me about the upcoming hiking season. And that makes me smile 🙂
Enjoy the read!

Late-April Solitude: A Solo Alpine Journey
In the quiet majesty of a late-April solo hike, the mountain landscape revealed a subtle beauty in transition. The snow-covered peaks, the muted hues of transitioning grass, and the dance of light and shadow became a testament to the unfiltered allure of nature awakening from its winter slumber.

Generic dimensional and dynamical properties of invariant measures of full-shift systems over countable alphabets
Silas L. Carvalho, Alexander Condori
https://arxiv.org/abs/2403.17398

Generic dimensional and dynamical properties of invariant measures of full-shift systems over countable alphabets
In this work, we are interested in characterizing typical (generic) dimensional properties of invariant measures associated with the full-shift system, $T$, in a product space whose alphabet is a countable set. More specifically, we show that the set of invariant measures with infinite packing dimension equal to infinity is a dense $G_δ$ subset of $\mathcal{M}(T)$, the space of $T$-invariant measures endowed with the weak topology, where the alphabet $M$ is a countable Polish metric space. We …

Validity of annealed approximation in a high-dimensional system
Jaegon Um, Hyunsuk Hong, Hyunggyu Park
https://arxiv.org/abs/2403.14984 https://

Validity of annealed approximation in a high-dimensional system
This study investigates the suitability of the annealed approximation in high-dimensional systems characterized by dense networks with quenched link disorder, employing models of coupled oscillators. We demonstrate that dynamic equations governing dense-network systems converge to those of the complete-graph version in the thermodynamic limit, where link disorder fluctuations vanish entirely. Consequently, the annealed-network systems, where fluctuations are attenuated, also exhibit the same dy…

From a 1982 NYT piece on Jorge Luis Borges that offers a clue about how his childhood influenced his storytelling:
“This dizzying sense of infinity - a sickening awareness of the
‘muchness' of the world - Borges explains, was nurtured by his own childhood nightmares and the dense, stifling atmosphere of Buenos Aires. ‘You have the plains and the pampas, but it is a tropical city...You feel the endless number of events, of people, of leaves, of mosquitoes, of all kinds of insec…

Implementation of matrix compression in the coupling of JOREK to realistic 3D conducting wall structures
Federico Cipolletta, Nina Schwarz, Matthias Hoelzl, Salvatore Ventre, Nicola Isernia, Guglielmo Rubinacci, Alejandro Soba, Mervi Johanna Mantsinen, the JOREK Team
https://arxiv.org/abs/2404.16546

Implementation of matrix compression in the coupling of JOREK to realistic 3D conducting wall structures
JOREK is an advanced non-linear simulation code for studying MHD instabilities in magnetically confined fusion plasmas and their control and/or mitigation. A free-boundary and resistive wall extension was introduced via coupling to the STARWALL and CARIDDI codes, both able to provide dense response matrices describing the electromagnetic interactions between plasma and conducting structures. For detailed CAD representations of the conducting structures and high resolutions for the plasma region…

FrameNeRF: A Simple and Efficient Framework for Few-shot Novel View Synthesis
Yan Xing, Pan Wang, Ligang Liu, Daolun Li, Li Zhang
https://arxiv.org/abs/2402.14586

FrameNeRF: A Simple and Efficient Framework for Few-shot Novel View Synthesis
We present a novel framework, called FrameNeRF, designed to apply off-the-shelf fast high-fidelity NeRF models with fast training speed and high rendering quality for few-shot novel view synthesis tasks. The training stability of fast high-fidelity models is typically constrained to dense views, making them unsuitable for few-shot novel view synthesis tasks. To address this limitation, we utilize a regularization model as a data generator to produce dense views from sparse inputs, facilitating …

There are definite advantages to working at a University with a professional culinary and baking program!

Convince Elon Musk to reserve half of the future Starship launches to transport CO2 (as dry ice) from Earth to Mars until the atmosphere there is dense enough for people to walk outside without a spacesuit.
#CelebratingEarthDay
#HashtagGames

Reddit invited my moderation bot to buy shares in their company... fantastic work as always

Flip-Breakability: A Combinatorial Dichotomy for Monadically Dependent Graph Classes
Jan Dreier, Nikolas M\"ahlmann, Szymon Toru\'nczyk
https://arxiv.org/abs/2403.15201 <…

Flip-Breakability: A Combinatorial Dichotomy for Monadically Dependent Graph Classes
A conjecture in algorithmic model theory predicts that the model-checking problem for first-order logic is fixed-parameter tractable on a hereditary graph class if and only if the class is monadically dependent. Originating in model theory, this notion is defined in terms of logic, and encompasses nowhere dense classes, monadically stable classes, and classes of bounded twin-width. Working towards this conjecture, we provide the first two combinatorial characterizations of monadically dependent…

Quadratic inference with dense functional responses
Pratim Guha Niyogi, Ping-Shou Zhong
https://arxiv.org/abs/2402.13907 https://arxi…

Quadratic inference with dense functional responses
We address the challenge of estimation in the context of constant linear effect models with dense functional responses. In this framework, the conditional expectation of the response curve is represented by a linear combination of functional covariates with constant regression parameters. In this paper, we present an alternative solution by employing the quadratic inference approach, a well-established method for analyzing correlated data, to estimate the regression coefficients. Our approach l…

This https://arxiv.org/abs/2401.11248 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval
Masked auto-encoder pre-training has emerged as a prevalent technique for initializing and enhancing dense retrieval systems. It generally utilizes additional Transformer decoder blocks to provide sustainable supervision signals and compress contextual information into dense representations. However, the underlying reasons for the effectiveness of such a pre-training technique remain unclear. The usage of additional Transformer-based decoders also incurs significant computational costs. In this…

Robust integration of fast flavor conversions in classical neutrino transport
Zewei Xiong, Meng-Ru Wu, Manu George, Chun-Yu Lin
https://arxiv.org/abs/2403.17269

Robust integration of fast flavor conversions in classical neutrino transport
The quantum kinetic evolution of neutrinos in dense environments, such as the core-collapse supernovae or the neutron star mergers, can result in fast flavor conversion (FFC), presenting a significant challenge to achieving robust astrophysical modeling of these systems. Recent works that directly simulate the quantum kinetic transport of neutrinos in localized domains have suggested that the asymptotic outcome of FFCs can be modeled by simple analytical prescriptions. In this Letter, we incorp…

Apparently #Reddit considers its users to be "friends and family" for IPO purposes?

$M$-ideals in $H^\infty(\mathbb{D})$
Deepak K. D, Jaydeb Sarkar, Sreejith Siju
https://arxiv.org/abs/2403.16947 https://arxiv.org/pdf…

$M$-ideals in $H^\infty(\mathbb{D})$
This article intends to initiate an investigation into the structure of $M$-ideals in $H^\infty(\mathbb{D})$, where $H^\infty(\mathbb{D})$ denotes the Banach algebra of all bounded analytic functions on the open unit disc $\mathbb{D}$ in $\mathbb{C}$. We introduce the notion of analytic primes and prove that $M$-ideals in $H^\infty(\mathbb{D})$ are analytic primes. From function Hilbert space perspective, we additionally prove that $M$-ideals in $H^\infty(\mathbb{D})$ are dense in the Hardy spa…

This https://arxiv.org/abs/2402.19364 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication
We propose a novel approach to iterated sparse matrix dense matrix multiplication, a fundamental computational kernel in scientific computing and graph neural network training. In cases where matrix sizes exceed the memory of a single compute node, data transfer becomes a bottleneck. An approach based on dense matrix multiplication algorithms leads to suboptimal scalability and fails to exploit the sparsity in the problem. To address these challenges, we propose decomposing the sparse matrix in…

#Treefort2024 poster. More than 500 bands are listed.

This https://arxiv.org/abs/2211.11834 has been replaced.
link: https://scholar.google.com/scholar?q=a

The Lafforgue variety and irreducibility of induced representations
We construct the Lafforgue variety, an affine scheme equipped with an open dense subscheme parametrizing the simple modules of a non-commutative unital algebra $R$ over any field $k$, provided that the center $Z(R)$ is finitely generated and $R$ is finitely generated as a $Z(R)$-module. Our main technical tool is a generalization of the Hilbert scheme for non-commutative algebras, which may be of independent interest. Applying our construction in the case of Hecke algebras of Bernstein compon…

This https://arxiv.org/abs/2308.15151 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

$J/ψ$ and $ψ$(2S) polarization in proton-proton collisions at energies available at the CERN Large Hadron Collider using PYTHIA8
The production mechanisms of charmonium states in both hadronic and heavy-ion collisions hold great significance for investigating the hot and dense QCD matter. Studying charmonium polarization in ultra-relativistic collisions can also provide insights into the underlying production mechanisms. With this motivation, we explore the $J/ψ$ and $ψ$(2S) polarization in proton+proton collisions at $\sqrt{s}$ = 7, 8, and 13 TeV using a pQCD-inspired Monte-Carlo event generator called PYTHIA8. This w…

"Many scientists and philosophers have argued that humans’ limitations — as a species with a dense internal monologue, a reliance on sight and a culture built on spoken language — can blind us to how sentience might work in other species."
It’s ‘irresponsible’ to ignore widespread consciousness across animal world, dozens of scientists argue | The Hill

It’s ‘irresponsible’ to ignore widespread consciousness across animal world, dozens of scientists argue
There is good reason to believe fish, amphibians, molluscs and insects are sentient, according to a new declaration signed by three dozen scientists. The New York Declaration on Animal Consciousness argues that current scientific research indicates such widespread animal consciousness is a “realistic possibility” — and that scientists and policymakers must take that into account when considering risks to…

This https://arxiv.org/abs/2212.01729 has been replaced.
link: https://scholar.google.com/scholar?q=a

Time-Synchronized Full System State Estimation Considering Practical Implementation Challenges
As the phasor measurement unit (PMU) placement problem involves a cost-benefit trade-off, more PMUs get placed on the higher voltage buses. However, this causes many of the lower voltage levels of the bulk power system to not be observed by PMUs. This lack of visibility then makes time-synchronized state estimation of the full system a challenging problem. We propose a Deep Neural network-based State Estimator (DeNSE) to overcome this problem. The DeNSE employs a Bayesian framework to indirectl…

Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data
Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey Leontovich, Svetomir N. Markovic, Shashi Shekhar
https://arxiv.org/abs/2402.14974

Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data
Given multi-category point sets from different place-types, our goal is to develop a spatially-lucid classifier that can distinguish between two classes based on the arrangements of their points. This problem is important for many applications, such as oncology, for analyzing immune-tumor relationships and designing new immunotherapies. It is challenging due to spatial variability and interpretability needs. Previously proposed techniques require dense training data or have limited ability to h…

A preconditioner for solving linear programming problems with dense columns
Catalina J. Villalba, Aurelio R. L. Oliveira
https://arxiv.org/abs/2404.10930 h…

A preconditioner for solving linear programming problems with dense columns
The Interior-Point Methods are a class for solving linear programming problems that rely upon the solution of linear systems. At each iteration, it becomes important to determine how to solve these linear systems when the constraint matrix of the linear programming problem includes dense columns. In this paper, we propose a preconditioner to handle linear programming problems with dense columns, and we prove theoretically that the final linear system to solve is uniformly bounded when the Inter…

This https://arxiv.org/abs/2205.06011 has been replaced.
link: https://scholar.google.com/scholar?q=a

Mobility-Aware Resource Allocation for mmWave IAB Networks: A Multi-Agent Reinforcement Learning Approach
MmWaves have been envisioned as a promising direction to provide Gbps wireless access. However, they are susceptible to high path losses and blockages, which directional antennas can only partially mitigate. That makes mmWave networks coverage-limited, thus requiring dense deployments. Integrated access and backhaul (IAB) architectures have emerged as a cost-effective solution for network densification. Resource allocation in mmWave IAB networks must face big challenges to cope with heavy tempo…

Free products of bi-orderable groups
Kyrylo Muliarchyk
https://arxiv.org/abs/2403.14779 https://arxiv.org/pdf/2403.14779

Free products of bi-orderable groups
We prove a bi-ordered version of Rivas' result for free products of left-order groups. Namely, we show that a free product of bi-ordered groups does not admit isolated bi-ordering. Our method relies on the dynamical realization of bi-ordered groups. We also show that the natural action of the automorphism group $Aut(F_2)$ on $F_2$ does not have dense orbits.

Directional superradiance in a driven ultracold atomic gas in free-space
Sanaa Agarwal, Edwin Chaparro, Diego Barberena, A. Pi\~neiro Orioli, G. Ferioli, S. Pancaldi, I. Ferrier-Barbut, A. Browaeys, A. M. Rey
https://arxiv.org/abs/2403.15556

Directional superradiance in a driven ultracold atomic gas in free-space
Ultra-cold atomic systems are among the most promising platforms that have the potential to shed light on the complex behavior of many-body quantum systems. One prominent example is the case of a dense ensemble illuminated by a strong coherent drive while interacting via dipole-dipole interactions. Despite being subjected to intense investigations, this system retains many open questions. A recent experiment carried out in a pencil-shaped geometry reported measurements that seemed consistent wi…

Probing marginal stability in the spherical $p=2$ model
Jacopo Niedda, Tommaso Tonolo, Giacomo Gradenigo
https://arxiv.org/abs/2403.15819 https://

Probing marginal stability in the spherical $p=2$ model
In this paper we investigate the marginally stable nature of the low-temperature trivial spin glass phase in the spherical $p=2$ spin glass, by perturbing the system with three different kinds of non-linear interactions. In particular, we compare the effect of three additional dense four-body interactions: ferromagnetic couplings, purely disordered couplings and couplings with competing disordered and ferromagnetic interactions. Our study, characterized by the effort to present in a clear and p…

Irreversible Boltzmann samplers in dense liquids: weak-coupling approximation and mode-coupling theory
Federico Ghimenti, Ludovic Berthier, Grzegorz Szamel, Fr\'ed\'eric van Wijland
https://arxiv.org/abs/2404.14863

Irreversible Boltzmann samplers in dense liquids: weak-coupling approximation and mode-coupling theory
Exerting a nonequilibrium drive on an otherwise equilibrium Langevin process brings the dynamics out of equilibrium but can also speedup the approach to the Boltzmann steady-state. Transverse forces are a minimal framework to achieve dynamical acceleration of the Boltzmann sampling. We consider a simple liquid in three space dimensions subjected to additional transverse pairwise forces, and quantify the extent to which transverse forces accelerate the dynamics. We first explore the dynamics of …

SF Chronicle endorses #NoOnPropE, “a sloppy potpourri of public safety ideas, some of which police don’t even seem to want,” such as:
💥🚓 More car chases, “incredibly dangerous in a city as dense as San Francisco. Out of 150 pursuits..from 2018 to 2023, 38% resulted in a collision.”
📸 “Facial recognition technology [with which] Black and Asian people [are] 10 to 100 times more likely t…

There are two main factors in the spread of #covid:
1) How dense the population is
2) How dense the population is

Dense vector search is not the only way to improve your search relevance. Join Hajer Bouafif and Praveen Mohan Prasad at this year's #bbuzz as they discuss advanced methods for improving keyword search using machine learning and large language models.

Shadowing and the basins of terminal chain components
Noriaki Kawaguchi
https://arxiv.org/abs/2402.15129 https://arxiv.org/pdf/2402.1…

Shadowing and the basins of terminal chain components
We provide an alternative view of some results in [1, 3, 11]. In particular, we prove that (1) if a continuous self-map of a compact metric space has the shadowing, then the union of the basins of terminal chain components is a dense $G_δ$-subset of the space; and (2) if a continuous self-map of a locally connected compact metric space has the shadowing, and if the chain recurrent set is totally disconnected, then the map is almost chain continuous.

Vista West. Sunset near Columbia River Gorge.
#SilentSunday #LandscapePhotography #NaturePhotography

Computing the Determinant of a Dense Matrix over Z
John Abbott, Claus Fieker
https://arxiv.org/abs/2404.08358 https://arxiv.org/pdf/2…

Computing the Determinant of a Dense Matrix over Z
We present a new, practical algorithm for computing the determinant of a non-singular dense, uniform matrix over Z; the aim is to achieve better practical efficiency, which is always at least as good as currently known methods. The algorithm uses randomness internally, but the result is guaranteed correct. The main new idea is to use a modular HNF in cases where the Pauderis--Storjohann HCOL method performs poorly. The algorithm is implemented in OSCAR~1.0.

Forcing "$\mathrm{NS}_{\omega_1}$ is $\omega_1$-dense" From Large Cardinals
Andreas Lietz
https://arxiv.org/abs/2403.09020 https://

Forcing "$\mathrm{NS}_{ω_1}$ is $ω_1$-dense" From Large Cardinals
We answer a question of Woodin by showing that assuming an inaccessible cardinal $κ$ which is a limit of ${<}κ$-supercompact cardinals exists, there is a stationary set preserving forcing $\mathbb{P}$ so that $V^{\mathbb P}\models``\mathrm{NS}_{ω_1}\text{ is }ω_1\text{-dense}"$. We also introduce a new forcing axiom $\mathrm{QM}$, show it is consistent assuming a supercompact limit of supercompact cardinals and prove that it implies $\mathbb{Q}_{\mathrm{max}}\text{-}(*)$. Consequently, $\ma…

Symmetry breaking due to multi-angle matter-neutrino resonance in neutron star merger remnants
Ian Padilla-Gay, Shashank Shalgar, Irene Tamborra
https://arxiv.org/abs/2403.15532 <…

Symmetry breaking due to multi-angle matter-neutrino resonance in neutron star merger remnants
Neutron star merger remnants are unique sites for exploring neutrino flavor conversion in dense media. Because of the natural excess of $\barν_e$ over $ν_e$, the neutrino-neutrino potential can cancel the matter potential, giving rise to matter-neutrino resonant flavor conversion. Under the assumption of two (anti)neutrino flavors and spatial homogeneity, we solve the neutrino quantum kinetic equations to investigate the occurrence of the matter-neutrino resonance within a multi-angle framewo…

This https://arxiv.org/abs/2302.14534 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face
We present Spacerini, a tool that integrates the Pyserini toolkit for reproducible information retrieval research with Hugging Face to enable the seamless construction and deployment of interactive search engines. Spacerini makes state-of-the-art sparse and dense retrieval models more accessible to non-IR practitioners while minimizing deployment effort. This is useful for NLP researchers who want to better understand and validate their research by performing qualitative analyses of training co…

Reddit invited my moderation bot to buy shares in their company... fantastic work as always

HortiBot: An Adaptive Multi-Arm System for Robotic Horticulture of Sweet Peppers
Christian Lenz, Rohit Menon, Michael Schreiber, Melvin Paul Jacob, Sven Behnke, Maren Bennewitz
https://arxiv.org/abs/2403.15306

HortiBot: An Adaptive Multi-Arm System for Robotic Horticulture of Sweet Peppers
Horticultural tasks such as pruning and selective harvesting are labor intensive and horticultural staff are hard to find. Automating these tasks is challenging due to the semi-structured greenhouse workspaces, changing environmental conditions such as lighting, dense plant growth with many occlusions, and the need for gentle manipulation of non-rigid plant organs. In this work, we present the three-armed system HortiBot, with two arms for manipulation and a third arm as an articulated head for…

Masked Matrix Multiplication for Emergent Sparsity
Brian Wheatman, Meghana Madhyastha, Randal Burns
https://arxiv.org/abs/2402.14118 https://

Masked Matrix Multiplication for Emergent Sparsity
Artificial intelligence workloads, especially transformer models, exhibit emergent sparsity in which computations perform selective sparse access to dense data. The workloads are inefficient on hardware designed for dense computations and do not map well onto sparse data representations. We build a vectorized and parallel matrix-multiplication system A X B = C that eliminates unnecessary computations and avoids branches based on a runtime evaluation of sparsity. We use a combination of dynamic …

Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation
Peter H\"onig, Stefan Thalhammer, Markus Vincze
https://arxiv.org/abs/2402.06436

Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation
Estimating 2D-3D correspondences between RGB images and 3D space is a fundamental problem in 6D object pose estimation. Recent pose estimators use dense correspondence maps and Point-to-Point algorithms to estimate object poses. The accuracy of pose estimation depends heavily on the quality of the dense correspondence maps and their ability to withstand occlusion, clutter, and challenging material properties. Currently, dense correspondence maps are estimated using image-to-image translation mo…

This https://arxiv.org/abs/2303.17518 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Constraining a relativistic mean field model using neutron star mass-radius measurements I: Nucleonic models
Measurements of neutron star mass and radius or tidal deformability deliver unique insight into the equation of state (EOS) of cold dense matter. EOS inference is very often done using generalized parametric or non-parametric models which deliver no information on composition. In this paper we consider a microscopic nuclear EOS model based on a field theoretical approach. We show that current measurements from NICER and gravitational wave observations constrain primarily the symmetric nuclear m…

This https://arxiv.org/abs/2402.19364 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication
We propose a novel approach to iterated sparse matrix dense matrix multiplication, a fundamental computational kernel in scientific computing and graph neural network training. In cases where matrix sizes exceed the memory of a single compute node, data transfer becomes a bottleneck. An approach based on dense matrix multiplication algorithms leads to suboptimal scalability and fails to exploit the sparsity in the problem. To address these challenges, we propose decomposing the sparse matrix in…

This https://arxiv.org/abs/2212.01729 has been replaced.
link: https://scholar.google.com/scholar?q=a

Time-Synchronized Full System State Estimation Considering Practical Implementation Challenges
As the phasor measurement unit (PMU) placement problem involves a cost-benefit trade-off, more PMUs get placed on the higher voltage buses. However, this causes many of the lower voltage levels of the bulk power system to not be observed by PMUs. This lack of visibility then makes time-synchronized state estimation of the full system a challenging problem. We propose a Deep Neural network-based State Estimator (DeNSE) to overcome this problem. The DeNSE employs a Bayesian framework to indirectl…

This https://arxiv.org/abs/2205.06011 has been replaced.
link: https://scholar.google.com/scholar?q=a

Mobility-Aware Resource Allocation for mmWave IAB Networks: A Multi-Agent Reinforcement Learning Approach
MmWaves have been envisioned as a promising direction to provide Gbps wireless access. However, they are susceptible to high path losses and blockages, which directional antennas can only partially mitigate. That makes mmWave networks coverage-limited, thus requiring dense deployments. Integrated access and backhaul (IAB) architectures have emerged as a cost-effective solution for network densification. Resource allocation in mmWave IAB networks must face big challenges to cope with heavy tempo…

Free products of bi-orderable groups
Kyrylo Muliarchyk
https://arxiv.org/abs/2403.14779 https://arxiv.org/pdf/2403.14779

Free products of bi-orderable groups
We prove a bi-ordered version of Rivas' result for free products of left-order groups. Namely, we show that a free product of bi-ordered groups does not admit isolated bi-ordering. Our method relies on the dynamical realization of bi-ordered groups. We also show that the natural action of the automorphism group $Aut(F_2)$ on $F_2$ does not have dense orbits.

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding
Yiruo Cheng, Kelong Mao, Zhicheng Dou
https://arxiv.org/abs/2402.12774

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding
Conversational dense retrieval has shown to be effective in conversational search. However, a major limitation of conversational dense retrieval is their lack of interpretability, hindering intuitive understanding of model behaviors for targeted improvements. This paper presents CONVINV, a simple yet effective approach to shed light on interpretable conversational dense retrieval models. CONVINV transforms opaque conversational session embeddings into explicitly interpretable text while faithfu…

This https://arxiv.org/abs/2303.15323 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nuc…

Thermalization at the femtoscale seen in high-energy Pb+Pb collisions
A collision between two atomic nuclei accelerated at a speed close to that of light creates a dense system of quarks and gluons. Interactions among them are so strong that they behave collectively like a droplet of fluid of ten-femtometer size, which expands into the vacuum and eventually fragments into thousands of particles. We report a new manifestation of thermalization in recent data from the Large Hadron Collider. Our analysis is based on results from the ATLAS Collaboration, which has me…

This https://arxiv.org/abs/2403.01810 has been replaced.
link: https://scholar.google.com/scholar?q=a

Global self$-$similarity of dense granular flow in hopper: the role of hopper width
The influence of hopper width on dense granular flow in a two$-$dimensional hopper is investigated through experiments and simulations. Though the flow rate remains stable for larger hopper widths, a slight reduction in hopper width results in a significant increase in flow rate for smaller hopper widths. Both Beverloo\('\)s and Janda\('\)s formula accurately capture the relationship between the flow rate and outlet size. Flow characteristics in the regions near the outlet exhibit local self$-$…

Computing the Determinant of a Dense Matrix over Z
John Abbott, Claus Fieker
https://arxiv.org/abs/2404.08358 https://arxiv.org/pdf/2…

Computing the Determinant of a Dense Matrix over Z
We present a new, practical algorithm for computing the determinant of a non-singular dense, uniform matrix over Z; the aim is to achieve better practical efficiency, which is always at least as good as currently known methods. The algorithm uses randomness internally, but the result is guaranteed correct. The main new idea is to use a modular HNF in cases where the Pauderis--Storjohann HCOL method performs poorly. The algorithm is implemented in OSCAR~1.0.

Tight Hamiltonicity from dense links of triples
Richard Lang, Mathias Schacht, Jan Volec
https://arxiv.org/abs/2403.14518 https://arx…

Tight Hamiltonicity from dense links of triples
We show that for all $k\geq 4$, $\varepsilon >0$, and $n$ sufficiently large, every $k$-uniform hypergraph on $n$ vertices in which each set of $k-3$ vertices is contained in at least $(5/8 + \varepsilon) \binom{n}{3}$ edges contains a tight Hamilton cycle. This is asymptotically best possible.

Forcing "$\mathrm{NS}_{\omega_1}$ is $\omega_1$-dense" From Large Cardinals
Andreas Lietz
https://arxiv.org/abs/2403.09020 https://

Forcing "$\mathrm{NS}_{ω_1}$ is $ω_1$-dense" From Large Cardinals
We answer a question of Woodin by showing that assuming an inaccessible cardinal $κ$ which is a limit of ${<}κ$-supercompact cardinals exists, there is a stationary set preserving forcing $\mathbb{P}$ so that $V^{\mathbb P}\models``\mathrm{NS}_{ω_1}\text{ is }ω_1\text{-dense}"$. We also introduce a new forcing axiom $\mathrm{QM}$, show it is consistent assuming a supercompact limit of supercompact cardinals and prove that it implies $\mathbb{Q}_{\mathrm{max}}\text{-}(*)$. Consequently, $\ma…

A Network for structural dense displacement based on 3D deformable mesh model and optical flow
Peimian Du, Qicheng Guo, Yanru Li
https://arxiv.org/abs/2402.06329

A Network for structural dense displacement based on 3D deformable mesh model and optical flow
This study proposes a Network to recognize displacement of a RC frame structure from a video by a monocular camera. The proposed Network consists of two modules which is FlowNet2 and POFRN-Net. FlowNet2 is used to generate dense optical flow as well as POFRN-Net is to extract pose parameter H. FlowNet2 convert two video frames into dense optical flow. POFRN-Net is inputted dense optical flow from FlowNet2 to output the pose parameter H. The displacement of any points of structure can be calcula…

This https://arxiv.org/abs/2301.11814 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Neutrinos from dense environments : Flavor mechanisms, theoretical approaches, observations, and new directions
Neutrino masses and mixings produce vacuum oscillations, an established quantum mechanical phenomenon. In matter, the Mikheev-Smirnov-Wolfenstein effect, due to neutrino interactions with the background particles, triggers resonant flavor modification. In dense environments, such as core-collapse supernovae or compact mergers, sizable neutrino-neutrino interactions, shock waves and turbulence impact the neutrino flavor content under a variety of phenomena. Theoretical approaches of neutrino pro…

Hey Friends, one more shot from last year's #hiking #adventure .
Actually ... I could go there for better lighting conditions. The photo was taken in the shades at 7am, an hour after I started the hike.
Lonely, nice chill and super nice green - the green that I am still missing rig…

A Journey to New Heights: Hiking the Uncharted Summit
Join me on a wonderful mountain adventure with an early start to beat the heat, exploring the solitude of nature. Enjoy with me this fulfilling hike, capturing breathtaking vistas and concluding with a little thrill near the end.

Time-dependent nuclear energy-density functional theory toolkit for neutron star crust: Dynamics of a nucleus in a neutron superfluid
Daniel P\c{e}cak, Agata Zdanowicz, Nicolas Chamel, Piotr Magierski, Gabriel Wlaz{\l}owski
https://arxiv.org/abs/2403.17499

Time-dependent nuclear energy-density functional theory toolkit for neutron star crust: Dynamics of a nucleus in a neutron superfluid
We present a new numerical tool designed to probe the dense layers of neutron star crusts. It is based on the Time-Dependent Hartree-Fock-Bogoliubov theory with generalized Skyrme nuclear energy density functionals, such as the Brussels-Montreal ones. We use it to study the time evolution of a nucleus accelerating through superfluid neutron medium in the inner crust of a neutron star. We extract an effective mass in the low velocity limit. We observe a threshold velocity and specify mechanisms …

M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval
Yang Bai, Anthony Colas, Christan Grant, Daisy Zhe Wang
https://arxiv.org/abs/2403.14074

M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval
In recent research, contrastive learning has proven to be a highly effective method for representation learning and is widely used for dense retrieval. However, we identify that relying solely on contrastive learning can lead to suboptimal retrieval performance. On the other hand, despite many retrieval datasets supporting various learning objectives beyond contrastive learning, combining them efficiently in multi-task learning scenarios can be challenging. In this paper, we introduce M3, an ad…

This https://arxiv.org/abs/2403.17441 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Adaptive LiDAR-Radar Fusion for Outdoor Odometry Across Dense Smoke Conditions
Robust odometry estimation in perceptually degraded environments represents a key challenge in the field of robotics. In this paper, we propose a LiDAR-radar fusion method for robust odometry for adverse environment with LiDAR degeneracy. By comparing the LiDAR point cloud with the radar static point cloud obtained through preprocessing module, it is possible to identify instances of LiDAR degeneracy to overcome perceptual limits. We demonstrate the effectiveness of our method in challenging co…

This https://arxiv.org/abs/2108.02525 has been replaced.
link: https://scholar.google.com/scholar?q=a

Improved Treatment of Dark Matter Capture in Neutron Stars III: Nucleon and Exotic Targets
We consider the capture of dark matter (DM) in neutron stars via scattering on hadronic targets, including neutrons, protons and hyperons. We extend previous analyses by including momentum dependent form factors, which account for hadronic structure, and incorporating the effect of baryon strong interactions in the dense neutron star interior, rather than modelling the baryons as a free Fermi gas. The combination of these effects suppresses the DM capture rate over a wide mass range, thus incre…

This https://arxiv.org/abs/2402.03762 has been replaced.
link: https://scholar.google.com/scholar?q=a

MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction
Neural implicit representations have recently been demonstrated in many fields including Simultaneous Localization And Mapping (SLAM). Current neural SLAM can achieve ideal results in reconstructing bounded scenes, but this relies on the input of RGB-D images. Neural-based SLAM based only on RGB images is unable to reconstruct the scale of the scene accurately, and it also suffers from scale drift due to errors accumulated during tracking. To overcome these limitations, we present MoD-SLAM, a m…

General predictions of neutron star properties using unified relativistic mean-field equations of state
Luigi Scurto, Helena Pais, Francesca Gulminelli
https://arxiv.org/abs/2402.15548

General predictions of neutron star properties using unified relativistic mean-field equations of state
In this work we present general predictions for the static observables of neutron stars (NSs) under the hypothesis of a purely nucleonic composition of the ultra-dense baryonic matter, using Bayesian inference on a very large parameter space conditioned by both astrophysical and nuclear physics constraints. The equation of states are obtained using a unified approach of the NS core and inner crust within a fully covariant treatment based on a relativistic mean-field Lagrangian density with dens…

The Redshift Evolution of the Binary Black Hole Mass Distribution from Dense Star Clusters
Claire S. YeCITA, Maya Fishbach
https://arxiv.org/abs/2402.12444

The Redshift Evolution of the Binary Black Hole Mass Distribution from Dense Star Clusters
Gravitational-wave detectors are unveiling a population of binary black hole (BBH) mergers out to redshifts $z \approx 1$, and are starting to constrain how the BBH population evolves with redshift. We present predictions for the redshift evolution of the BBH mass and spin distributions for systems originating from dense star clusters. Utilizing a grid of 144 state-of-the-art dynamical models for globular clusters, we demonstrate that BBH merger rates peak at higher redshifts for larger black h…

Revisiting holographic model for thermal and dense QCD with a critical point
Qingxuan Fu, Song He, Li Li, Zhibin Li
https://arxiv.org/abs/2404.12109 https:…

Revisiting holographic model for thermal and dense QCD with a critical point
To quantitatively provide reliable predictions for the hot and dense QCD matter, a holographic model should be adjusted to describe first-principles lattice results available at vanishing baryon chemical potential. The equation of state from two well-known lattice groups, the HotQCD collaboration and the Wuppertal-Budapest (WB) collaboration, shows visible differences at high temperatures. We revisit the Einstein-Maxwell-dilaton (EMD) holographic model for hot QCD with 2+1 flavors and physical …

Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning
Georgios Sidiropoulos, Evangelos Kanoulas
https://arxiv.org/abs/2403.10939

Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning
Dense retrieval has become the new paradigm in passage retrieval. Despite its effectiveness on typo-free queries, it is not robust when dealing with queries that contain typos. Current works on improving the typo-robustness of dense retrievers combine (i) data augmentation to obtain the typoed queries during training time with (ii) additional robustifying subtasks that aim to align the original, typo-free queries with their typoed variants. Even though multiple typoed variants are available as …

This https://arxiv.org/abs/2404.11669 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Factorized Motion Fields for Fast Sparse Input Dynamic View Synthesis
Designing a 3D representation of a dynamic scene for fast optimization and rendering is a challenging task. While recent explicit representations enable fast learning and rendering of dynamic radiance fields, they require a dense set of input viewpoints. In this work, we focus on learning a fast representation for dynamic radiance fields with sparse input viewpoints. However, the optimization with sparse input is under-constrained and necessitates the use of motion priors to constrain the learn…

Hey friends, we just finished a 6h walk with about 600m elevation from #badWiessee to #lenggries
We walked some new and some well known trails. Enjoyed the sound of a stream and also cleaned up nature a bit.
Oh and everything by foot or public transport (train and bus). We've be…

Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning
Georgios Sidiropoulos, Evangelos Kanoulas
https://arxiv.org/abs/2403.10939

Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning
Dense retrieval has become the new paradigm in passage retrieval. Despite its effectiveness on typo-free queries, it is not robust when dealing with queries that contain typos. Current works on improving the typo-robustness of dense retrievers combine (i) data augmentation to obtain the typoed queries during training time with (ii) additional robustifying subtasks that aim to align the original, typo-free queries with their typoed variants. Even though multiple typoed variants are available as …

Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems
Shengyao Zhuang, Bevan Koopman, Xiaoran Chu, Guido Zuccon
https://arxiv.org/abs/2402.12784

Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems
The introduction of Vec2Text, a technique for inverting text embeddings, has raised serious privacy concerns within dense retrieval systems utilizing text embeddings, including those provided by OpenAI and Cohere. This threat comes from the ability for a malicious attacker with access to text embeddings to reconstruct the original text. In this paper, we investigate various aspects of embedding models that could influence the recoverability of text using Vec2Text. Our exploration involves fac…

This https://arxiv.org/abs/2203.13674 has been replaced.
link: https://scholar.google.com/scholar?q=a

Dense Continuous-Time Optical Flow from Events and Frames
We present a method for estimating dense continuous-time optical flow from event data. Traditional dense optical flow methods compute the pixel displacement between two images. Due to missing information, these approaches cannot recover the pixel trajectories in the blind time between two images. In this work, we show that it is possible to compute per-pixel, continuous-time optical flow using events from an event camera. Events provide temporally fine-grained information about movement in pixe…

This https://arxiv.org/abs/2309.05284 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Shear viscosity of rotating, hot, and dense spin-half fermionic systems from quantum field theory
In this study, we calculate the shear viscosity for rotating fermions with spin-half under conditions of high temperature and density. We employ the Kubo formalism, rooted in finite-temperature quantum field theory, to compute the field correlation functions essential for this evaluation. The one-loop diagram pertinent to shear viscosity is analyzed within the context of curved space, utilizing tetrad formalism as an effective approach in cylindrical coordinates. Our findings focus on extremely…

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models
Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, Zhao Cao
https://arxiv.org/abs/2403.13291

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models
With the development of pre-trained language models, the dense retrieval models have become promising alternatives to the traditional retrieval models that rely on exact match and sparse bag-of-words representations. Different from most dense retrieval models using a bi-encoder to encode each query or document into a dense vector, the recently proposed late-interaction multi-vector models (i.e., ColBERT and COIL) achieve state-of-the-art retrieval effectiveness by using all token embeddings to …

Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling
Minghan Li, Eric Gaussier
https://arxiv.org/abs/2403.08970

Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling
Recent studies have demonstrated that the ability of dense retrieval models to generalize to target domains with different distributions is limited, which contrasts with the results obtained with interaction-based models. Prior attempts to mitigate this challenge involved leveraging adversarial learning and query generation approaches, but both approaches nevertheless resulted in limited improvements. In this paper, we propose to combine the query-generation approach with a self-supervision app…