Tootfinder

Investigation: Estonian arms dealer sold equipment to Ukraine at inflated price: https://benborges.xyz/2024/03/05/investigation-estonian-arms.html

Unless you’ve lived paycheck to paycheck (and I have for *decades*) you have no idea the stress and anxiety it causes ALL THE FUCKING TIME…
I drive a 20 year old car. If it breaks down, I lose my job. If I lose my job, I lose my apartment. So I *only* drive my car from home to work to home.
So that means, outside of work and going to get groceries, I never leave my apartment. 😢
BEING POOR SUCKS BALLS. 🤬

Multifamily Expenses Increase Above-Trend Levels
Yardi Matrix - April 3, 2024
“Expense growth varied by expense type and metro. By type it was led by property insurance (up 27.7% year-over-year), marketing (12.3%), administrative (9.6%) and repairs and maintenance (8.8%).”
https://www.

Multifamily Expenses Increase Above-Trend Levels, Reports Yardi Matrix
Annual per-unit expenses rose 7.1 year-over-year, led by property insurance increases, Yardi Matrix data shows.

In the final weekend before the California primary Election, the leading Democrats running for the Senate seat barnstormed the state,
with Adam Schiff holding seven public events,
Rep. Barbara Lee of Oakland attending four
and Rep. Katie Porter of Irvine participating in two.
As his Democratic opponents seized the last opportunity to woo voters, Garvey was at home in Palm Desert, visible to the public only through TV ads paid for by Schiff and his supporters.

Shame on Adam Schiff for elevating Steve Garvey
If the matchup is Adam Schiff vs. Steve Garvey, a reader says Schiff gets his vote. But Schiff's elevation of Garvey at Katie Porter's expense is disgraceful.

#today lunchtime meeting on someone else's expense account!

Democratic candidates wanted to “fix our broken border” and were willing to compromise to restore order.
Republicans in Congress acknowledged that they’re playing politics at the expense of fixing the problem.
#Immigration

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
Yannick Kirchhoff, Maximilian R. Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus Maier-Hein
https://arxiv.org/abs/2404.03010…

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
Accurately segmenting thin tubular structures, such as vessels, nerves, roads or concrete cracks, is a crucial task in computer vision. Standard deep learning-based segmentation loss functions, such as Dice or Cross-Entropy, focus on volumetric overlap, often at the expense of preserving structural connectivity or topology. This can lead to segmentation errors that adversely affect downstream tasks, including flow calculation, navigation, and structural inspection. Although current topology-foc…

Efficient Multi-Vector Dense Retrieval Using Bit Vectors
Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
https://arxiv.org/abs/2404.02805 https://

Efficient Multi-Vector Dense Retrieval Using Bit Vectors
Dense retrieval techniques employ pre-trained large language models to build a high-dimensional representation of queries and passages. These representations compute the relevance of a passage w.r.t. to a query using efficient similarity measures. In this line, multi-vector representations show improved effectiveness at the expense of a one-order-of-magnitude increase in memory footprint and query latency by encoding queries and documents on a per-token level. Recently, PLAID has tackled these …

I find it amusing that submitting my expense reports nets me the best Income/Time ratio of all activities in my life, when it’s probably the lowest value-add activity of all.

This https://arxiv.org/abs/2404.08786 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks
Evolutionary Algorithms (EAs) play a crucial role in the architectural configuration and training of Artificial Deep Neural Networks (DNNs), a process known as neuroevolution. However, neuroevolution is hindered by its inherent computational expense, requiring multiple generations, a large population, and numerous epochs. The most computationally intensive aspect lies in evaluating the fitness function of a single candidate solution. To address this challenge, we employ Surrogate-assisted EAs (…

This https://arxiv.org/abs/2403.06332 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Exploiting the Margin: How Capitalism Fuels AI at the Expense of Minoritized Groups
This paper explores the intricate relationship between capitalism, racial injustice, and artificial intelligence (AI), arguing that AI acts as a contemporary vehicle for age-old forms of exploitation. By linking historical patterns of racial and economic oppression with current AI practices, this study illustrates how modern technology perpetuates and deepens societal inequalities. It specifically examines how AI is implicated in the exploitation of marginalized communities through underpaid la…

God forbid you take a cut in profits…🤦🏼‍♂️🤬
“Chipotle Mexican Grill Inc. has said it’s considering a price increase to offset the extra expense.”
https://mastodon.social/@GottaLaff/112197605888623249

MAC: Maximizing Algebraic Connectivity for Graph Sparsification
Kevin Doherty, Alan Papalia, Yewei Huang, David Rosen, Brendan Englot, John Leonard
https://arxiv.org/abs/2403.19879

MAC: Maximizing Algebraic Connectivity for Graph Sparsification
Simultaneous localization and mapping (SLAM) is a critical capability in autonomous navigation, but memory and computational limits make long-term application of common SLAM techniques impractical; a robot must be able to determine what information should be retained and what can safely be forgotten. In graph-based SLAM, the number of edges (measurements) in a pose graph determines both the memory requirements of storing a robot's observations and the computational expense of algorithms deploye…

If I was king, I would ban petrol engine leaf blowers and also make it a legal requirement that anyone who sounds their car horn for more than one British second in a five British minute period has their car immediately confiscated and compacted at their expense with 6 points added on their license.

(no prizes for guessing what's currently disturbing my peace)

“Whether a president should have criminal immunity in some specific circumstances is an abstract question for another day, because efforts to stay in office and use the levers of the presidency are certainly not those specific circumstances. The appeals have delayed matters long enough at the expense of the right of the American people to a fair and speedy trial.”

The Public Has a Right to Trump's Speedy Trial
No good legal reason exists to delay Donald Trump’s January 6 trial any further.

Every time someone says Trump’s frauds were crimes without a victim, an angel dies. https://mastodon.social/@GottaLaff/111943462743495362

There’s plenty not to like about working for a corporation, one of the things I *do* like, is that they keep accepting my expense reports full of books. As long as they’re “work related”.
My most recent haul from #powellsbooks will add nicely to my existing bookshelf.

First, in true German fashion, the rules were outlined:
no alcohol on site, flagpoles capped at three meters, no protesting past 8 p.m.
The demonstration followed, with hundreds congregated in the town square shouting #insults at the incumbent government; cracking jokes at the expense of #refugees, the

Germany's Far-Right AfD Flourishes in Sonneberg
Inside a remote forest town where Germany’s new right roosts.

This https://arxiv.org/abs/2308.13096 has been replaced.
initial toot: https://mastoxiv.page/@a…

Electronic Structure Prediction of Multi-million Atom Systems Through Uncertainty Quantification Enabled Transfer Learning
The ground state electron density -- obtainable using Kohn-Sham Density Functional Theory (KS-DFT) simulations -- contains a wealth of material information, making its prediction via machine learning (ML) models attractive. However, the computational expense of KS-DFT scales cubically with system size which tends to stymie training data generation, making it difficult to develop quantifiably accurate ML models that are applicable across many scales and system configurations. Here, we address th…

Just posted the following on #nextdoor Very curious about the responses if there are any.
"Why doesn't Highway Unit 1 enforce the 50mph speed limit on the West Side Highway? There are so many collisions there caused by drivers obviously going way more than 50mph. So many sirens. So much cost. I would assume all that expense raises car insurance rates. People are always complaining …

ReZero: Boosting MCTS-based Algorithms by Just-in-Time and Speedy Reanalyze
Chunyu Xuan, Yazhe Niu, Yuan Pu, Shuai Hu, Jing Yang
https://arxiv.org/abs/2404.16364

ReZero: Boosting MCTS-based Algorithms by Just-in-Time and Speedy Reanalyze
MCTS-based algorithms, such as MuZero and its derivatives, have achieved widespread success in various decision-making domains. These algorithms employ the reanalyze process to enhance sample efficiency, albeit at the expense of significant wall-clock time consumption. To address this issue, we propose a general approach named ReZero to boost MCTS-based algorithms. Specifically, we propose a new scheme that simplifies data collecting and reanalyzing, which significantly reduces the search cost …

I am a lawyer. I complain that we have created a procedural morass that creates so much expense and delay that our proclaimed system of justice is not really a system of justice and is more a system of evasion by the rich.
We have bent so far in the direction of fairness stacked upon fairness that those with the deepest of pockets (and often with the lowest of ethics) can use delay and expense to smother even the most worthy of opponents who have the most deserving of claims.
He…

Steve Bannon’s Refusal to Pay His Bills Is Costing Him Big
Bannon has refused to pay his legal bills for two years. Now he and his current lawyer are facing fines over Bannon’s refusal to make good on his debts.

Reviving the War on Drugs in SF is not going great: "the crackdowns have[n't] prevented overdose fatalities, reduced street violence, [or] improved neighborhood conditions... At best, enforcement strategies have improved some blocks at the expense of others, while creating turf wars that have increased gun violence. We need to use a comprehensive strategy with evidence-based solutions." - @…

Meet the District 5 candidates: Are police crackdowns on drug dealing effective?
Supervisor Dean Preston and challengers Bilal Mahmood and Allen Jones are running for District 5 supervisor.

Court orders landlord of old house in Amsterdam to replace single glazing by double glazing and to seal all cracks and crevices, at his own expense. Seen as a deficiency.
Major consequences for 600,000 tenants of non-monumental homes here!
Via Olof van der Gaag on the birdsite.
htt…

Rechter: dubbel glas moet ook in monumentaal pand, kosten niet voor huurder
Een eigenaar van een monumentaal pand in Amsterdam moet van de rechter investeren in dubbel glas en mag de extra kosten niet afwentelen op de huurder. Het is volgens de brancheclub van vastgoedverhuurders 'een verrassende uitspraak' met gevolgen voor andere eigenaren.

A tough business in a tough town | Restaurant-ing through history https://restaurant-ingthroughhistory.com/2024/02/18/a-tough-business-in-a-tough-town/

A tough business in a tough town
Most people realize that the expense and hassle of opening a restaurant in New York City is daunting, but a 1980 New York Magazine story by Paul Tharp laid it out in excruciating detail. Generally …

A Communication- and Memory-Aware Model for Load Balancing Tasks
Jonathan Lifflander, Philippe P. Pebay, Nicole L. Slattengren, Pierre L. Pebay, Robert A. Pfeiffer, Joseph D. Kotulski, Sean T. McGovern
https://arxiv.org/abs/2404.16793

A Communication- and Memory-Aware Model for Load Balancing Tasks
While load balancing in distributed-memory computing has been well-studied, we present an innovative approach to this problem: a unified, reduced-order model that combines three key components to describe "work" in a distributed system: computation, communication, and memory. Our model enables an optimizer to explore complex tradeoffs in task placement, such as increased parallelism at the expense of data replication, which increases memory usage. We propose a fully distributed, heuristic-based…

TIL you can have 128 but integer variables in C but not constants. That is, I learned it at the expense of close to an hour of Wtf'ing at the compiler.

"Wouldn’t it be nice to have politicians whose shallowness and hypocrisy aren’t so easily mocked by 10-year-olds?"
https://www.theguardian.com/commentisfree/2024/feb/14/brexit-tackle-politics-children-football

The kids are alright.
"My son says it means taking out the player without getting the ball, all while shouting ‘Brexit means Brexit’."
https://www.theguardian.com/commentisfree/2024/feb/14/brexit-tackle-politics-childr…

This https://arxiv.org/abs/2102.08382 has been replaced.
link: https://scholar.google.com/scholar?q=a

Recovering the Wedge Modes Lost to 21-cm Foregrounds
One of the critical challenges facing imaging studies of the 21-cm signal at the Epoch of Reionization (EoR) is the separation of astrophysical foreground contamination. These foregrounds are known to lie in a wedge-shaped region of $(k_{\perp},k_{\parallel})$ Fourier space. Removing these Fourier modes excises the foregrounds at grave expense to image fidelity, since the cosmological information at these modes is also removed by the wedge filter. However, the 21-cm EoR signal is non-Gaussian, …

"#Starmer’s insistence that “when business profits, we all do” is the polar opposite of what has actually been happening in the economy, actively and aggressively belied by the current cost of living crunch. Sellers’ inflation and corporate profiteering have been occurring at the expense of the vast majority"
The Corruption Behind Starmer’s Rise Has Finally Been Exposed | Novara Me…

The Corruption Behind Starmer’s Rise Has Finally Been Exposed
Details are starting to emerge of the most secretive and dishonest leadership campaign in the history of British politics.

Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi
https://arxiv.org/abs/2402.10756

Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
Conventional fair graph clustering methods face two primary challenges: i) They prioritize balanced clusters at the expense of cluster cohesion by imposing rigid constraints, ii) Existing methods of both individual and group-level fairness in graph partitioning mostly rely on eigen decompositions and thus, generally lack interpretability. To address these issues, we propose iFairNMTF, an individual Fairness Nonnegative Matrix Tri-Factorization model with contrastive fairness regularization that…

Quantitative modelling of type Ia supernovae spectral time series: Constraining the explosion physics
M. R. Magee, L. Siebenaler, K. Maguire, K. Ackley, T. Killestein
https://arxiv.org/abs/2403.16889

Quantitative modelling of type Ia supernovae spectral time series: Constraining the explosion physics
Multiple explosion mechanisms have been proposed to explain type Ia supernovae (SNe Ia). Through forward modelling, synthetic observables of explosion models can be directly compared to observations of SNe Ia to constrain the explosion physics. Due to the computational expense associated with multi-dimensional explosion and radiative transfer simulations however, empirical modelling tools have also been developed that allow for fast, customised modelling of individual SNe. Such tools have provi…

Simulation-Free Determination of Microstructure Representative Volume Element Size via Fisher Scores
Wei Liu, Satyajit Mojumder, Wing Kam Liu, Wei Chen, Daniel W. Apley
https://arxiv.org/abs/2404.15207

Simulation-Free Determination of Microstructure Representative Volume Element Size via Fisher Scores
A representative volume element (RVE) is a reasonably small unit of microstructure that can be simulated to obtain the same effective properties as the entire microstructure sample. Finite element (FE) simulation of RVEs, as opposed to much larger samples, saves computational expense, especially in multiscale modeling. Therefore, it is desirable to have a framework that determines RVE size prior to FE simulations. Existing methods select the RVE size based on when the FE-simulated properties of…

A consistent kinetic Fokker-Planck model for gas mixtures
Marlies Pirner
https://arxiv.org/abs/2403.18478 https://arxiv.org/pdf/2403.…

A consistent kinetic Fokker-Planck model for gas mixtures
Rarefied gas dynamics is usually described by the Boltzmann equation. Unfortunately, the expense of evaluating this operator can be very prohibitive. This made it worthwhile to look for approximations that convey essentially an equivalent amount of physical information. One widely known approximative collision operator is the Bathnagar-Gross-Krook (BGK) operator. However, recently, the Foker-Planck approximation has become increasingly popular. Nevertheless, the modeling of gas mixtures in the …

"Will the US ban the use of single-use plastics like England, India, Hong Kong and other countries?"
#US #USA #America #Plastic

Will the US ban the use of single-use plastics like England, India, Hong Kong and other countries?
Madhavi Venkatesan, associate teaching professor of economics at Northeastern University, is convinced that human convenience is an expense the environment cannot afford.

This loss of life, criminality, and expense is brought to you by a #Federal law that prevents #marijuana shops from using credit cards.

Bronx manhunt for shooter who killed 2 in Mount Vernon marijuana shop holdup
The NYPD and the FBI are assisting the Mount Vernon Police Department in their hunt for the Westchester gunman.

This https://arxiv.org/abs/2306.14287 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Efficient Contextformer: Spatio-Channel Window Attention for Fast Context Modeling in Learned Image Compression
Entropy estimation is essential for the performance of learned image compression. It has been demonstrated that a transformer-based entropy model is of critical importance for achieving a high compression ratio, however, at the expense of a significant computational effort. In this work, we introduce the Efficient Contextformer (eContextformer) - a computationally efficient transformer-based autoregressive context model for learned image compression. The eContextformer efficiently fuses the pat…

This https://arxiv.org/abs/2307.07613 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Phases and Exotic Phase Transitions of a Two-Dimensional Su-Schrieffer-Heeger Model
We study a Su-Schrieffer-Heeger electron-phonon model on a square lattice by means of auxiliary-field quantum Monte Carlo simulations. The addition of a symmetry-allowed interaction permits analytical integration over the phonons at the expense of discrete Hubbard-Stratonovich fields with imaginary-time correlations. Using single-spin-flip updates, we investigate the phase diagram at the O(4)-symmetric point as a function of hopping $t$ and phonon frequency $ω_0$. For $t=0$, where electron hop…

Crowdsourcing public attitudes toward local services through the lens of Google Maps reviews: An urban density-based perspective
Lingyao Li, Songhua Hu, Atiyya Shaw, Libby Hemphill
https://arxiv.org/abs/2404.13156

Crowdsourcing public attitudes toward local services through the lens of Google Maps reviews: An urban density-based perspective
Understanding how urban density impacts public perceptions of urban service is important for informing livable, accessible, and equitable urban planning. Conventional methods such as surveys are limited by their sampling scope, time efficiency, and expense. On the other hand, crowdsourcing through online platforms presents an opportunity for decision-makers to tap into a user-generated source of information that is widely available and cost-effective. To demonstrate such potential, we collect G…

The locals had fun at Derek Carr's expense with a float at a Mardi Gras parade. Let's hope the Saints don't get zombie Carr again next season.

This https://arxiv.org/abs/2312.08234 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation
As the exorbitant expense of labeling autopilot datasets and the growing trend of utilizing unlabeled data, semi-supervised segmentation on point clouds becomes increasingly imperative. Intuitively, finding out more ``unspoken words'' (i.e., latent instance information) beyond the label itself should be helpful to improve performance. In this paper, we discover two types of latent labels behind the displayed label embedded in LiDAR and image data. First, in the LiDAR Branch, we propose a novel …

This https://arxiv.org/abs/2311.07422 has been replaced.
link: https://scholar.google.com/scholar?q=a

Sidekick compilation with xDSL
Traditionally, compiler researchers either conduct experiments within an existing production compiler or develop their own prototype compiler; both options come with trade-offs. On one hand, prototyping in a production compiler can be cumbersome, as they are often optimized for program compilation speed at the expense of software simplicity and development speed. On the other hand, the transition from a prototype compiler to production requires significant engineering work. To bridge this gap, …

Far-right candidates took notable wins in state elections on Super Tuesday, further confirming the Republican ascendancy of supporters of Donald Trump, the probable GOP nominee for president, at the expense of more traditional conservatives.
The highest-profile victory went to #Mark #Robinson, the lieutenant governor…

This https://arxiv.org/abs/2310.03094 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning
Large language models (LLMs) such as GPT-4 have exhibited remarkable performance in a variety of tasks, but this strong performance often comes with the high expense of using paid API services. In this paper, we are motivated to study building an LLM cascade to save the cost of using LLMs, particularly for performing reasoning (e.g., mathematical, causal) tasks. Our cascade pipeline follows the intuition that simpler questions can be addressed by a weaker but more affordable LLM, whereas only t…

Densify & Conquer: Densified, smaller base-stations can conquer the increasing carbon footprint problem in nextG wireless
Agrim Gupta, Adel Heidari, Jiaming Jin, Dinesh Bharadia
https://arxiv.org/abs/2403.13611

Densify & Conquer: Densified, smaller base-stations can conquer the increasing carbon footprint problem in nextG wireless
Connectivity on-the-go has been one of the most impressive technological achievements in the 2010s decade. However, multiple studies show that this has come at an expense of increased carbon footprint, that also rivals the entire aviation sector's carbon footprint. The two major contributors of this increased footprint are (a) smartphone batteries which affect the embodied footprint and (b) base-stations that occupy ever-increasing energy footprint to provide the last mile wireless connectivity…

How to Relax Instantly: Elastic Relaxation of Concurrent Data Structures
K{\aa}re von Geijer, Philippas Tsigas
https://arxiv.org/abs/2403.13644 https://

How to Relax Instantly: Elastic Relaxation of Concurrent Data Structures
The sequential semantics of many concurrent data structures, such as stacks and queues, inevitably lead to memory contention in parallel environments, thus limiting scalability. Semantic relaxation has the potential to address this issue, increasing the parallelism at the expense of weakened semantics. Although prior research has shown that improved performance can be attained by relaxing concurrent data structure semantics, there is no one-size-fits-all relaxation that adequately addresses the…

“With the old economics destroyed, organizational forms perfected for industrial production have to be replaced with structures optimized for digital data. It makes increasingly less sense even to talk about a publishing industry, because the core problem publishing solves — the incredible difficulty, complexity, and expense of making something available to the public — has stopped being a problem.” Clay Shirky

We use data to act as a proxy for some results of the system. Often people forget that the desired end result is not for the number to be improved but for the situation to be improved. We hope, if the measure improves the situation will have improved. But there are many reasons this may not be the case (1 number improving at the expense of other parts of the system, the failure of the number to accurately serve as a proxy, distorting numbers, etc.)...

X-ray observations of Isolated Neutron Stars
Michela Rigoselli
https://arxiv.org/abs/2402.14442 https://arxiv.org/pdf/2402.14442

X-ray observations of Isolated Neutron Stars
Pulsars are rapidly spinning neutron stars, that radiate at the expense of their strong magnetic field and their high surface temperature. Five decades of multi-wavelength observations showed a large variety of physical parameters, such as the spin period, the magnetic field and the age, and of observational properties, especially in the radio and X-ray band. Isolated neutron stars have been classified according to the presence of thermal or non-thermal emission, and whether they show a constan…

Scale Separation Effects on Simulations of Plasma Turbulence
Jago Edyvean, Tulasi N. Parashar, Tom Simpson, James Juno, Gian Luca Delzanno, Fan Guo, Oleksandr Koshkarov, William H Matthaeus, Michael Shay, Yan Yang
https://arxiv.org/abs/2404.12105

Scale Separation Effects on Simulations of Plasma Turbulence
Understanding plasma turbulence requires a synthesis of experiments, observations, theory, and simulations. In the case of kinetic plasmas such as the solar wind, the lack of collisions renders the fluid closures such as viscosity meaningless and one needs to resort to higher order fluid models or kinetic models. Typically, the computational expense in such models is managed by simulating artificial values of certain parameters such as the ratio of the Alfvén speed to the speed of light ($v_A/…

Trump gets the nasty laughs he seeks at someone else’s expense, especially when he sneers at a person’s physical limitations.
People who behaved that way were once scorned. Now they become the Republican nominee for president.
There are few among us who don’t know how it feels to be the butt of a joke.
That includes Trump’s supporters.
But with their always aggrieved state of mind, they have anointed Trump as a strongman who allows them to belittle those they see as …

Abbreviated Pundit Roundup: Trump didn't choose his supporters, his supporters chose him
Abbreviated Pundit Roundup is a long-running series published every morning that collects essential political discussion and analysis around the internet. Renée Graham �of�The Boston Globe looks ...

Deciphering Chemical Ordering in High Entropy Materials: A Machine Learning-Accelerated High-throughput Cluster Expansion Approach
Guillermo Vazquez, Daniel Sauceda, Raymundo Arr\'oyave
https://arxiv.org/abs/2403.18298

Deciphering Chemical Ordering in High Entropy Materials: A Machine Learning-Accelerated High-throughput Cluster Expansion Approach
The Cluster Expansion (CE) Method encounters significant computational challenges in multicomponent systems due to the computational expense of generating training data through density functional theory (DFT) calculations. This work aims to refine the cluster and structure selection processes to mitigate these challenges. We introduce a novel method that significantly reduces the computational load associated with the calculation of fitting parameters. This method employs a Graph Neural Network…

For the millionth time…
HEALTHCARE SHOULD NOT BE A FOR-PROFIT BUSINESS, FOR CHRIST’S SAKE! 🤦🏼‍♂️ https://newsie.social/@TheConversationUS/112096536599672834

The Conversation U.S. (@TheConversationUS@newsie.social)
Attached: 1 image A 4-month investigation by The Conversation uncovers the truth about many private-equity-owned for-profit nursing home chains, who make millions for their owners while cutting corners on patient care, driven by greed at the expense of our vulnerable seniors. The government, which already has the power to stop it, falls short. https://theconversation.com/for-profit-nursing-homes-are-cutting-corners-on-safety-and-draining-resources-with-financial-shenanigans-especially-at-mi…

This https://arxiv.org/abs/2305.17799 has been replaced.
link: https://scholar.google.com/scholar?q=a

I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN)
Most currently available methods for modeling multiphysics, including thermoelasticity, using machine learning approaches, are focused on solving complete multiphysics problems using data-driven or physics-informed multi-layer perceptron (MLP) networks. Such models rely on incremental step-wise training of the MLPs, and lead to elevated computational expense; they also lack the rigor of existing numerical methods like the finite element method. We propose an integrated finite element neural net…

“With the old economics destroyed, organizational forms perfected for industrial production have to be replaced with structures optimized for digital data. It makes increasingly less sense even to talk about a publishing industry, because the core problem publishing solves — the incredible difficulty, complexity, and expense of making something available to the public — has stopped being a problem.” Clay Shirky

This https://arxiv.org/abs/2310.03094 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning
Large language models (LLMs) such as GPT-4 have exhibited remarkable performance in a variety of tasks, but this strong performance often comes with the high expense of using paid API services. In this paper, we are motivated to study building an LLM cascade to save the cost of using LLMs, particularly for performing reasoning (e.g., mathematical, causal) tasks. Our cascade pipeline follows the intuition that simpler questions can be addressed by a weaker but more affordable LLM, whereas only t…

For the millionth time…
HEALTHCARE SHOULD NOT BE A FOR-PROFIT BUSINESS, FOR CHRIST’S SAKE! 🤦🏼‍♂️ https://newsie.social/@TheConversationUS/112096536599672834

The Conversation U.S. (@TheConversationUS@newsie.social)
Attached: 1 image A 4-month investigation by The Conversation uncovers the truth about many private-equity-owned for-profit nursing home chains, who make millions for their owners while cutting corners on patient care, driven by greed at the expense of our vulnerable seniors. The government, which already has the power to stop it, falls short. https://theconversation.com/for-profit-nursing-homes-are-cutting-corners-on-safety-and-draining-resources-with-financial-shenanigans-especially-at-mi…

This https://arxiv.org/abs/2404.08786 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks
Evolutionary Algorithms (EAs) play a crucial role in the architectural configuration and training of Artificial Deep Neural Networks (DNNs), a process known as neuroevolution. However, neuroevolution is hindered by its inherent computational expense, requiring multiple generations, a large population, and numerous epochs. The most computationally intensive aspect lies in evaluating the fitness function of a single candidate solution. To address this challenge, we employ Surrogate-assisted EAs (…

Densify & Conquer: Densified, smaller base-stations can conquer the increasing carbon footprint problem in nextG wireless
Agrim Gupta, Adel Heidari, Jiaming Jin, Dinesh Bharadia
https://arxiv.org/abs/2403.13611

Densify & Conquer: Densified, smaller base-stations can conquer the increasing carbon footprint problem in nextG wireless
Connectivity on-the-go has been one of the most impressive technological achievements in the 2010s decade. However, multiple studies show that this has come at an expense of increased carbon footprint, that also rivals the entire aviation sector's carbon footprint. The two major contributors of this increased footprint are (a) smartphone batteries which affect the embodied footprint and (b) base-stations that occupy ever-increasing energy footprint to provide the last mile wireless connectivity…

Being #rich is not a state. Being rich is an elitist #sport played at the expense and lives of those who don't give a shit about everyone else and who never gave their consent to participate in this sport.
Getting richer and richer is a conscious decision not just to accept more #death, more #suffering and more #despair, but to deliberately create it.

Controllable Prompt Tuning For Balancing Group Distributional Robustness
Hoang Phan, Andrew Gordon Wilson, Qi Lei
https://arxiv.org/abs/2403.02695 https://…

Controllable Prompt Tuning For Balancing Group Distributional Robustness
Models trained on data composed of different groups or domains can suffer from severe performance degradation under distribution shifts. While recent methods have largely focused on optimizing the worst-group objective, this often comes at the expense of good performance on other groups. To address this problem, we introduce an optimization scheme to achieve good performance across groups and find a good solution for all without severely sacrificing performance on any of them. However, directly…

FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation
Chris Rockwell, Nilesh Kulkarni, Linyi Jin, Jeong Joon Park, Justin Johnson, David F. Fouhey
https://arxiv.org/abs/2403.03221

FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation
Estimating relative camera poses between images has been a central problem in computer vision. Methods that find correspondences and solve for the fundamental matrix offer high precision in most cases. Conversely, methods predicting pose directly using neural networks are more robust to limited overlap and can infer absolute translation scale, but at the expense of reduced precision. We show how to combine the best of both methods; our approach yields results that are both precise and robust, w…

CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers
Alex Ranne, Liming Kuang, Yordanka Velikova, Nassir Navab, Ferdinando Rodriguez y Baena
https://arxiv.org/abs/2403.14465

CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers
In minimally invasive endovascular procedures, contrast-enhanced angiography remains the most robust imaging technique. However, it is at the expense of the patient and clinician's health due to prolonged radiation exposure. As an alternative, interventional ultrasound has notable benefits such as being radiation-free, fast to deploy, and having a small footprint in the operating room. Yet, ultrasound is hard to interpret, and highly prone to artifacts and noise. Additionally, interventional ra…

A Framework to Calibrate a Semi-analytic Model of the First Stars and Galaxies to the Renaissance Simulations
Ryan Hazlett, Mihir Kulkarni, Eli Visbal, John H. Wise
https://arxiv.org/abs/2403.05624

A Framework to Calibrate a Semi-analytic Model of the First Stars and Galaxies to the Renaissance Simulations
We present a method that calibrates a semi-analytic model to the Renaissance Simulations, a suite of cosmological hydrodynamical simulations with high-redshift galaxy formation. This approach combines the strengths of semi-analytic techniques and hydrodynamical simulations, enabling the extension to larger volumes and lower redshifts inaccessible to simulations due to computational expense. Using a sample of Renaissance star formation histories (SFHs) from an average density region of the Unive…

This https://arxiv.org/abs/2306.07435 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Randomized least-squares with minimal oversampling and interpolation in general spaces
In approximation of functions based on point values, least-squares methods provide more stability than interpolation, at the expense of increasing the sampling budget. We show that near-optimal approximation error can nevertheless be achieved, in an expected $L^2$ sense, as soon as the sample size $m$ is larger than the dimension $n$ of the approximation space by a constant ratio. On the other hand, for $m=n$, we obtain an interpolation strategy with a stability factor of order $n$. The propose…

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zheng Leng Thai, Kaihuo Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
The burgeoning interest in developing Large Language Models (LLMs) with up to trillion parameters has been met with concerns regarding resource efficiency and practical expense, particularly given the immense cost of experimentation. This scenario underscores the importance of exploring the potential of Small Language Models (SLMs) as a resource-efficient alternative. In this context, we introduce MiniCPM, specifically the 1.2B and 2.4B non-embedding parameter variants, not only excel in their …

NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks
Fergal Stapleton, Edgar Galv\'an
https://arxiv.org/abs/2404.08786 http…

NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks
Evolutionary Algorithms (EAs) play a crucial role in the architectural configuration and training of Artificial Deep Neural Networks (DNNs), a process known as neuroevolution. However, neuroevolution is hindered by its inherent computational expense, requiring multiple generations, a large population, and numerous epochs. The most computationally intensive aspect lies in evaluating the fitness function of a single candidate solution. To address this challenge, we employ Surrogate-assisted EAs (…

Autonomous microARPES
Steinn Ymir Agustsson, Alfred J. H. Jones, Davide Curcio, S{\o}ren Ulstrup, Jill Miwa, Davide Mottin, Panagiotis Karras, Philip Hofmann
https://arxiv.org/abs/2403.13815

Autonomous microARPES
Angle-resolved photoemission spectroscopy (ARPES) is a technique used to map the occupied electronic structure of solids. Recent progress in X-ray focusing optics has led to the development of ARPES into a microscopic tool, permitting the electronic structure to be spatially mapped across the surface of a sample. This comes at the expense of a time-consuming scanning process to cover not only a three-dimensional energy-momentum ($E, k_z, k_y$) space but also the two-dimensional surface area. He…

Finite-temperature grain boundary properties from quasistatic atomistics
Miguel Sp\'inola, Shashank Saxena, Prateek Gupta, Brandon Runnels, Dennis M. Kochmann
https://arxiv.org/abs/2402.12247

Finite-temperature grain boundary properties from quasistatic atomistics
Grain boundary (GB) properties greatly influence the mechanical, electrical, and thermal response of polycrystalline materials. Most computational studies of GB properties at finite temperatures use molecular dynamics (MD), which is computationally expensive, limited in the range of accessible timescales, and requires cumbersome techniques like thermodynamic integration to estimate free energies. This restricts the reasonable computation (without incurring excessive computational expense) of GB…

This https://arxiv.org/abs/2306.07435 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Randomized least-squares with minimal oversampling and interpolation in general spaces
In approximation of functions based on point values, least-squares methods provide more stability than interpolation, at the expense of increasing the sampling budget. We show that near-optimal approximation error can nevertheless be achieved, in an expected $L^2$ sense, as soon as the sample size $m$ is larger than the dimension $n$ of the approximation space by a constant ratio. On the other hand, for $m=n$, we obtain an interpolation strategy with a stability factor of order $n$. The propose…