Tootfinder

d-DQIVAR: Data-centric Visual Analytics and Reasoning for Data Quality Improvement
Hyein Hong, Sangbong Yoo, SeokHwan Choi, Jisue Kim, Seongbum Seo, Haneol Cho, Chansoo Kim, Yun Jang
https://arxiv.org/abs/2507.11960

d-DQIVAR: Data-centric Visual Analytics and Reasoning for Data Quality Improvement
Approaches to enhancing data quality (DQ) are classified into two main categories: data- and process-driven. However, prior research has predominantly utilized batch data preprocessing within the data-driven framework, which often proves insufficient for optimizing machine learning (ML) model performance and frequently leads to distortions in data characteristics. Existing studies have primarily focused on data preprocessing rather than genuine data quality improvement (DQI). In this paper, we …

“The EU’s most senior diplomat, Kaja Kallas, said the bloc would keep ‘options on the table’ to pressure Israel’s government if there was no improvement in the ‘catastrophic’ humanitarian situation in Gaza. According to several diplomatic sources she did not endorse any one of 10 sanctions options drawn up by her team, after an earlier EU review found ‘indications’ Israel was in breach of human rights commitments.”

Data center water use is a really interesting question. It seems like a space with a lot of room for technological improvement, where we've simply been optimizing for the wrong thing so far: we've been minimizing energy use, but there are a lot of opportunities for being more careful about water consumption.
I don't think much of this is down to "AI" specifically. If we outlawed all NNs bigger than 1B, I don't think the number of data centers would stop growin…

A couple weeks ago I went through PDX airport security with my not-Real-ID-compliant driver's license, mostly out of curiosity. They asked me if I had another ID like a passport. When I said no, they sent me to some guy who did a chemical wipe test of my phone, before letting me continue.
I think the rationale is that any incremental improvement to security checks increases the difficulty for malicious actors, but it still feels like Maxwell Smart security

Raiders, Bears, Jaguars among 6 offenses ready for a breakout: Nguyen https://www.nytimes.com/athletic/6425614/2025/06/17/nfl-breakout-offenses-raiders-bears-cowboys/

Raiders, Bears, Jaguars among 6 offenses ready for a breakout: Nguyen https://www.nytimes.com/athletic/6425614/2025/06/17/nfl-breakout-offenses-raiders-bears-cowboys/

The Raiders Have Some of the NFL's Top Talent https://www.si.com/nfl/raiders/news/maxx-crosby-nfl-national-football-league

Dual RIS-Assisted Monostatic L-Band Radar Target Detection in NLoS Scenarios
Salman Liaquat, Ijaz Haider Naqvi, Nor Muzlifah Mahyuddin
https://arxiv.org/abs/2507.11036

Dual RIS-Assisted Monostatic L-Band Radar Target Detection in NLoS Scenarios
The use of a single Reconfigurable Intelligent Surface (RIS) to boost the signal-to-noise ratio (SNR) at the radar offers significant improvement in detecting targets, especially in non-line-of-sight (NLoS) scenarios. However, there are scenarios where no path exists between the radar and the target, even with a single RIS-assisted radar, due to other present obstacles. This paper derives an expression for SNR in target detection scenarios where dual RISs assist a monostatic radar in NLoS situa…

Performance Enhancement of the Recursive Least Squares Algorithms with Rank Two Updates
Alexander Stotsky
https://arxiv.org/abs/2507.11095 https://

Performance Enhancement of the Recursive Least Squares Algorithms with Rank Two Updates
New recursive least squares algorithms with rank two updates (RLSR2) that include both exponential and instantaneous forgetting (implemented via a proper choice of the forgetting factor and the window size) are introduced and systematically associated in this report with well-known RLS algorithms with rank one updates. Moreover, new properties (which can be used for further performance improvement) of the recursive algorithms associated with the convergence of the inverse of information matrix …

Shitty bash improvement idea: any time you end a command with ! it will replace it with the `--force` flag
git push!
rm -r /!

The Curious Cat Management Improvement Institute has partnered with William Scherkenbach to make his files on management improvement available on their website. These files provide great value to those seeking to improve the practice of management in their organizations
https://ccmii.org/files/ws/
Docu…

Daytime Photometry of Starlink Satellites with the Huntsman Telescope Pathfinder
Sarah E. Caddy, Lee R. Spitler
https://arxiv.org/abs/2506.11382 https://…

Daytime Photometry of Starlink Satellites with the Huntsman Telescope Pathfinder
The rapid increase in satellite launches in recent years, and the pressure of launches planned into the next decade, demands an improvement in the efficiency of space domain awareness facilities. Optical facilities form an important component of global space domain awareness capabilities, however traditional optical telescopes are restricted to observing satellites during a small twilight window. In this work we explore expanding this operational period to encompass the entire day to dramatical…

New lab acquisition: MinusK 50BM-4 passive vibration isolator.
Going to have to get a more permanent weight to balance it right (there's currently a random steel chisel under the microscope in one corner and a CPU heatsink on top) but it's a huge improvement over the random aluminum plate with sorbothane feet.
Huge improvement in stability. The biggest problem is that changing objectives is now a two hand job, the microscope is floated so well that if i grab the turret th…

Isoperimetric Inequality on Manifolds with Quadratically Decaying Curvature
Dangyang He
https://arxiv.org/abs/2506.13365 https://arxi…

Isoperimetric Inequality on Manifolds with Quadratically Decaying Curvature
In this paper, we investigate the reverse improvement property of Sobolev inequalities on manifolds with quadratically decaying Ricci curvature. Specifically, we establish conditions under which the uniform decay of the heat kernel implies the validity of an isoperimetric inequality. As an application, we demonstrate the existence of isoperimetric sets in generalized Grushin spaces. Our approach is built on a weak-type Sobolev inequality, gradient estimates on remote balls, and a Hardy-type glu…

Efficient Preparation of Fermionic Superfluids in an Optical Dipole Trap through Reinforcement Learning
Yueyang Min, Ziliang Li, Yi Zhong, Jia-An Xuan, Jian Lin, Fei Leng, Xiaopeng Li
https://arxiv.org/abs/2507.12152

Efficient Preparation of Fermionic Superfluids in an Optical Dipole Trap through Reinforcement Learning
We demonstrate a reinforcement learning (RL) based control framework for optimizing evaporative cooling in the preparation of strongly interacting degenerate Fermi gases of Li6. Using a Soft Actor-Critic (SAC) algorithm, the system autonomously explores a high-dimensional parameter space to learn optimal cooling trajectories. Compared to conventional exponential ramps, our method achieves up to 130% improvement in atomic density within a 0.5 second, revealing non-trivial control strategies that…

Practical Improvements of A/B Testing with Off-Policy Estimation
Sakhi Otmane, Gilotte Alexandre, Rohde David
https://arxiv.org/abs/2506.10677 https://

Practical Improvements of A/B Testing with Off-Policy Estimation
We address the problem of A/B testing, a widely used protocol for evaluating the potential improvement achieved by a new decision system compared to a baseline. This protocol segments the population into two subgroups, each exposed to a version of the system and estimates the improvement as the difference between the measured effects. In this work, we demonstrate that the commonly used difference-in-means estimator, while unbiased, can be improved. We introduce a family of unbiased off-policy e…

lmao "the dork web" https://kolektiva.social/@franklinlopez/114672562818500830

Raiders, Bears, Jaguars among 6 offenses ready for a breakout: Nguyen https://www.nytimes.com/athletic/6425614/2025/06/17/nfl-breakout-offenses-raiders-bears-cowboys/

DeepPlantCRE: A Transformer-CNN Hybrid Framework for Plant Gene Expression Modeling and Cross-Species Generalization
Yingjun Wu, Jingyun Huang, Liang Ming, Pengcheng Deng, Maojun Wang, Zeyu Zhang
https://arxiv.org/abs/2505.09883

DeepPlantCRE: A Transformer-CNN Hybrid Framework for Plant Gene Expression Modeling and Cross-Species Generalization
The investigation of plant transcriptional regulation constitutes a fundamental basis for crop breeding, where cis-regulatory elements (CREs), as the key factor determining gene expression, have become the focus of crop genetic improvement research. Deep learning techniques, leveraging their exceptional capacity for high-dimensional feature extraction and nonlinear regulatory relationship modeling, have been extensively employed in this field. However, current methodologies present notable limi…

A continuous-time model to interpolate between speed and function value restart in accelerated first order methods
Juan Jos\'e Maul\'en, Huiyuan Guo, Juan Peypouquet
https://arxiv.org/abs/2506.11267

A continuous-time model to interpolate between speed and function value restart in accelerated first order methods
We introduce a new restarting scheme for a continuous inertial dynamics with Hessian driven-damping, and establish a linear convergence rate for the function values along the restarted trajectories. The proposed routine is a generalization of existing speed restart schemes, and interpolates between speed and function value restarts, considerably delaying the restarting time, while preserving the function value decrease. Numerical experiments show an improvement in the convergence rates for both…

The cars are going to be alright: Examining micromobility infrastructure space allocation and potential improvement scenarios in Montréal
https://www.sciencedirect.com/science/article/pii/S2950105925000154

A Topological Improvement of the Overall Performance of Sparse Evolutionary Training: Motif-Based Structural Optimization of Sparse MLPs Project
Xiaotian Chen, Hongyun Liu, Seyed Sahand Mohammadi Ziabari
https://arxiv.org/abs/2506.09204

A Topological Improvement of the Overall Performance of Sparse Evolutionary Training: Motif-Based Structural Optimization of Sparse MLPs Project
Deep Neural Networks (DNNs) have been proven to be exceptionally effective and have been applied across diverse domains within deep learning. However, as DNN models increase in complexity, the demand for reduced computational costs and memory overheads has become increasingly urgent. Sparsity has emerged as a leading approach in this area. The robustness of sparse Multi-layer Perceptrons (MLPs) for supervised feature selection, along with the application of Sparse Evolutionary Training (SET), i…

Information Field Theory based Event Reconstruction for Cosmic Ray Radio Detectors
Simon Str\"ahnz, Tim Huege, Torsten En{\ss}lin, Karen Terveer, Anna Nelles
https://arxiv.org/abs/2507.10738

Information Field Theory based Event Reconstruction for Cosmic Ray Radio Detectors
Detection of extensive air showers with radio antennas is an appealing technique in cosmic ray physics. However, because of the high level of measurement noise, current reconstruction methods still leave room for improvement. Furthermore, reconstruction efforts typically focus only on a single aspect of the signal, such as the energy fluence or arrival time. Bayesian inference is then a natural choice for a holistic approach to reconstruction, yet, this problem would be ill-posed, since the ele…

Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning
Chan Young Park, Jillian Fisher, Marius Memmel, Dipika Khullar, Andy Yun, Abhishek Gupta, Yejin Choi
https://arxiv.org/abs/2507.08224

Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning
Large language models (LLMs) have shown promise in robotic procedural planning, yet their human-centric reasoning often omits the low-level, grounded details needed for robotic execution. Vision-language models (VLMs) offer a path toward more perceptually grounded plans, but current methods either rely on expensive, large-scale models or are constrained to narrow simulation settings. We introduce SelfReVision, a lightweight and scalable self-improvement framework for vision-language procedural …

Life Improvement Update:
I decided to move to a smaller apartment outside the city, where there is more nature. After six years of living very close to the city center on a busy street with lots of noise, I encountered some problems with allergies.
I moved from a bed to the floor. The last few days have been very interesting; I haven’t slept this well in years. I fall asleep in a matter of seconds and sleep for eight hours straight.
I have implemented fasting again to eat l…

"Good process improvement practices include:
- standardized improvement process (pdsa, or whatever)

- Going to the gemba – improvement is done where the work is done. You must go to the where the action is. Sitting in meeting rooms, or offices, reading reports and making decisions is not the way to improve effectively.
- evidence based decision making..."

The Emergence of Abstract Thought in Large Language Models Beyond Any Language
Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang
https://arxiv.org/abs/2506.09890

The Emergence of Abstract Thought in Large Language Models Beyond Any Language
As large language models (LLMs) continue to advance, their capacity to function effectively across a diverse range of languages has shown marked improvement. Preliminary studies observe that the hidden activations of LLMs often resemble English, even when responding to non-English prompts. This has led to the widespread assumption that LLMs may "think" in English. However, more recent results showing strong multilingual performance, even surpassing English performance on specific tasks in other…

In iOS 26 beta 3, Apple dials back the degree of translucency in many UI elements, following user complaints about Liquid Glass (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/07/07/ios-26-beta-3-dials-back-liquid-glass/

iOS 26 beta 3 dials back Liquid Glass | TechCrunch
The early version in the first developer beta of iOS 26 and the accompanying updates for Apple's other devices still left room for improvement in terms of usability, accessibility, and legibility.

aymk i try to port klutshnik to embedded devices, i started with an esp32s3, and now i'm spoiled. the fact that the esp32 comes with usb-jtag ootb blows the competition of nrf/stm/rpi out of the water. i am so annoyed that i have to solder a few swd headers on all of those, and need to have a blackmagic probe clutter my desk. really that usb-jtag is such an improvement of quality of life.

Dillon Gabriel, Shedeur Sanders focused on making steady improvement at Browns minicamp https://www.nytimes.com/athletic/6417239/2025/06/10/browns-minicamp-shedeur-sanders-dillon-gabriel/

"As we approach the coming jobs cliff, we're entering a period where a college isn't going to be worth it for the majority of people, since AI will take over most white-collar jobs. Combined with the demographic cliff, the entire higher education system will crumble."
This is the kind of statement you don't hear that much from sub-CEO-level #AI boosters, because it's awkward for them to admit that the tech they think is improving their life is going to be disastrous for society. Or if they do admit this, they spin it like it's a good thing (don't get me wrong, tuition is ludicrously high and higher education absolutely could be improved by a wholesale reinvention, but the potential AI-fueled collapse won't be an improvement).
I'm in the "anti-AI" crowd myself, and I think the current tech is in a hype bubble that will collapse before we see wholesale replacement of white-collar jobs, with a re-hiring to come that will somewhat make up for the current decimation. There will still be a lot of fallout for higher ed (and hopefully some productive transformation), but it might not be apocalyptic.
Fun question to ask the next person who extols the virtues of using generative AI for their job: "So how long until your boss can fire you and use the AI themselves?"
The following ideas are contradictory:
1. "AI is good enough to automate a lot of mundane tasks."
2. "AI is improving a lot so those pesky issues will be fixed soon."
3. "AI still needs supervision so I'm still needed to do the full job."

Dynamic Chunking for End-to-End Hierarchical Sequence Modeling
Sukjun Hwang, Brandon Wang, Albert Gu
https://arxiv.org/abs/2507.07955 https://arxiv.org/pdf/2507.07955 https://arxiv.org/html/2507.07955
arXiv:2507.07955v1 Announce Type: new
Abstract: Despite incredible progress in language models (LMs) in recent years, largely resulting from moving away from specialized models designed for specific tasks to general models based on powerful architectures (e.g. the Transformer) that learn everything from raw data, pre-processing steps such as tokenization remain a barrier to true end-to-end foundation models. We introduce a collection of new techniques that enable a dynamic chunking mechanism which automatically learns content -- and context -- dependent segmentation strategies learned jointly with the rest of the model. Incorporating this into an explicit hierarchical network (H-Net) allows replacing the (implicitly hierarchical) tokenization-LM-detokenization pipeline with a single model learned fully end-to-end. When compute- and data- matched, an H-Net with one stage of hierarchy operating at the byte level outperforms a strong Transformer language model operating over BPE tokens. Iterating the hierarchy to multiple stages further increases its performance by modeling multiple levels of abstraction, demonstrating significantly better scaling with data and matching a token-based Transformer of twice its size. H-Nets pretrained on English show significantly increased character-level robustness, and qualitatively learn meaningful data-dependent chunking strategies without any heuristics or explicit supervision. Finally, the H-Net's improvement over tokenized pipelines is further increased in languages and modalities with weaker tokenization heuristics, such as Chinese and code, or DNA sequences (nearly 4x improvement in data efficiency over baselines), showing the potential of true end-to-end models that learn and scale better from unprocessed data.
toXiv_bot_toot

Topological defects as effective dynamical dark energy
Haipeng An, Chengcheng Han, Borui Zhang
https://arxiv.org/abs/2506.10075 https://

Topological defects as effective dynamical dark energy
In this work, we consider the possibility that the dynamical dark energy hinted at by recent DESI data may be mimicked by the effects of additional components in the universe, potentially arising from topological defects. We find that the data does not show a particular preference for the existence of cosmic strings. However, a domain wall contribution at the percent level can improve the fit, yielding a $Δχ^2= -1.72$ compared to the $Λ\rm{CDM}$ model. The improvement indicates that topologi…

Weyl formula improvement for product of Zoll manifolds
Yanfei Wang
https://arxiv.org/abs/2506.02299 https://arxiv.org/pdf/2506.02299

Weyl formula improvement for product of Zoll manifolds
Iosevich and Wyman have proved in ~\cite{IoWy} that the remainder term in classical Weyl law can be improved from $O(λ^{d-1})$ to $o(λ^{d-1})$ in the case of product manifold by using a famous result of Duistermaat and Guillemin. They also showed that we could have polynomial improvement in the special case of Cartesian product of round spheres by reducing the problem to the study of the distribution of weighted integer lattice points. In this paper, we show that we can extend this result to …

HAProxy’s “The State of SSL Stacks” is a depressing read.
After 2014 there was a brief period of hope for OpenSSL. Hope that was squashed by the disastrous 3.0 release & there’s little hope for improvement left.
The best current contender is AWS-LC of all things.
https://www.haproxy.com/blog/state-of-ssl…

The State of SSL Stacks
The SSL landscape has shifted dramatically. In this paper, we examine OpenSSL 3.x, BoringSSL, LibreSSL, WolfSSL, and AWS-LC with HAProxy.

Today's haul of water chestnuts from my tiny sink on the edge of the front patio. I wasn't so greedy this year, planted just 9 large ones. Rewarded with much larger chestnuts than last year, much better cos not so fiddly to peel. https://witcheskitchen.com.au/home-improvement/

Sums and differences of sets: a further improvement over AlphaEvolve
Fan Zheng
https://arxiv.org/abs/2506.01896 https://arxiv.org/pdf…

Sums and differences of sets: a further improvement over AlphaEvolve
We present a new advancement in the sum and difference of sets problem, which improves upon recent results by both DeepMind's AlphaEvolve ($θ= 1.1584$) and subsequent explicit constructions ($θ= 1.173050$). In this work, we construct a sequence of $U$ sets which in the limit establishes a new lower bound of $θ= 1.173077$.

Raiders Still Need to Prove Their Improvement is Legit https://www.si.com/nfl/raiders/las-vegas-pete-carroll-robert-spillane-elandon-roberts-brock-bowers

Taming Data Challenges in ML-based Security Tasks: Lessons from Integrating Generative AI
Shravya Kanchi, Neal Mangaokar, Aravind Cheruvu, Sifat Muhammad Abdullah, Shirin Nilizadeh, Atul Prakash, Bimal Viswanath
https://arxiv.org/abs/2507.06092

Taming Data Challenges in ML-based Security Tasks: Lessons from Integrating Generative AI
Machine learning-based supervised classifiers are widely used for security tasks, and their improvement has been largely focused on algorithmic advancements. We argue that data challenges that negatively impact the performance of these classifiers have received limited attention. We address the following research question: Can developments in Generative AI (GenAI) address these data challenges and improve classifier performance? We propose augmenting training datasets with synthetic data genera…

My article Vent or Win, Choose Wisely has been accepted for publication by The Geopolitical Economist:
https://medium.com/the-geopolitical-economist/vent-or-win-choose-wisely-c618c86f1472

Vent or Win, Choose Wisely - The Geopolitical Economist - Medium
You can blame people you basically agree with, or you can work with the people available to try to work toward better. The first feels good for maybe 5 minutes, then ruins improvement right now; the…

Interesting piece on the #Arctic #SeaIce and it's (improving) representation in global climate models by Gavin Schmidt over on @realclimate, I'm not entirely sure all of the improvement is for the right reasons, there are probably compensating biases, it would be interesting to see if the models get the regional signal correct in different parts of the Arctic, but overall I agree with this piece, there have been some big steps forward in global models, the regional level is often not very well represented though.
https://www.realclimate.org/index.php/archives/2025/05/predicted-arctic-sea-ice-trends-over-time/

This https://arxiv.org/abs/2404.08578 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Classification and nonexistence for $t$-structures on derived categories of schemes
This work establishes new results on the classification of $t$-structures for many subcategories of the derived category of quasi-coherent sheaves on a Noetherian scheme. Our work makes progress in two different directions. On one hand, we provide an improvement of a result of Takahashi on $t$-structures, generalizing it to the case of the bounded derived category of coherent sheaves on a quasi-compact CM-excellent scheme of finite Krull dimension. On the other hand, via independent techniques,…

Heh, so people in the import/export world, instead of dealing with Trump’s short-attention-span/TACO tariff policies, now have to deal with the uncertainties of US constitutional litigation. Joking aside, I think that’s an improvement.
#USpol

Cowboys named 'top landing spot' for disgruntled 25-year-old superstar RB https://www.si.com/nfl/cowboys/news/dallas-cowboys-named-top-landing-spot-disgruntled-superstar-running-back-james-cook

The Scintillator Surface Detector of the Pierre Auger Observatory
The Pierre Auger Collaboration
https://arxiv.org/abs/2507.07762 https://

The Scintillator Surface Detector of the Pierre Auger Observatory
Data collected so far by the Pierre Auger Observatory have enabled major advances in ultra-high energy cosmic ray physics and demonstrated that improved determination of masses of primary cosmic-ray particles, preferably on an event-by-event basis, is necessary for understanding their origin and nature. Improvement in primary mass measurements was the main motivation for the upgrade of the Pierre Auger Observatory, called AugerPrime. As part of this upgrade, scintillator detectors are added to …

MAGNet: A Multi-Scale Attention-Guided Graph Fusion Network for DRC Violation Detection
Weihan Lu, Hong Cai Chen
https://arxiv.org/abs/2506.07126 https://

MAGNet: A Multi-Scale Attention-Guided Graph Fusion Network for DRC Violation Detection
Design rule checking (DRC) is of great significance for cost reduction and design efficiency improvement in integrated circuit (IC) designs. Machine-learning-based DRC has become an important approach in computer-aided design (CAD). In this paper, we propose MAGNet, a hybrid deep learning model that integrates an improved U-Net with a graph neural network for DRC violation prediction. The U-Net backbone is enhanced with a Dynamic Attention Module (DAM) and a Multi-Scale Convolution Module (MSCM…

Another casualty of Mayor Lurie’s last-minute micromanagement in adding a left turn phase to Valencia at 17th, 21st and 23rd: The signals have lost their leading pedestrian intervals.
LPIs improve safety by letting peds/bikes go first, with 3-7sec of walk light before green light. Just added a few years ago as a state-funded safety improvement, they’re gone now.

From this year on, ESWC will be under the umbrella of SWSA, the Semantic Web Science Association, to secure financial sustainability for the upcoming years after its previous supporting organisation STI was dissolved in 2023. Basics about the transition are given by Elena Simperl, president of SWSA.
https://swsa.semanticweb.org/

Beyond Scaling: Chemical Intuition as Emergent Ability of Universal Machine Learning Interatomic Potentials
Shinnosuke Hattori, Kohei Shimamura, Aiichiro Nakano, Rajiv K. Kalia, Priya Vashishta, Ken-ichi Nomura
https://arxiv.org/abs/2506.07579

Beyond Scaling: Chemical Intuition as Emergent Ability of Universal Machine Learning Interatomic Potentials
Machine Learning Interatomic Potentials (MLIPs) have successfully demonstrated scaling behavior, i.e. the power-law improvement in training performance, however the emergence of novel capabilities at scale remains unexplored. We have developed Edge-wise Emergent Decomposition (E3D) framework to investigate how an MLIP develops the ability to derive physically meaningful local representations of chemical bonds without explicit supervision. Employing an E(3)-equivariant network (Allegro) trained …

Something construction has in common with programming; tearing down and making from scratch always seems more tempting than fixing and restoring what exists. Surely we will get it right this time. Yet these rebuilds have an enormous cost. We need more of a continuous improvement mindset in both of these fields. For more sustainable development

Attention-Bayesian Hybrid Approach to Modular Multiple Particle Tracking
Piyush Mishra (I2M, FRESNEL, TCLS, AMU), Philippe Roudot (FRESNEL, TCLS, CNRS)
https://arxiv.org/abs/2506.09441

Attention-Bayesian Hybrid Approach to Modular Multiple Particle Tracking
Tracking multiple particles in noisy and cluttered scenes remains challenging due to a combinatorial explosion of trajectory hypotheses, which scales super-exponentially with the number of particles and frames. The transformer architecture has shown a significant improvement in robustness against this high combinatorial load. However, its performance still falls short of the conventional Bayesian filtering approaches in scenarios presenting a reduced set of trajectory hypothesis. This suggests …

On the exceptional set in the $abc$ conjecture
Runbo Li
https://arxiv.org/abs/2507.02885 https://arxiv.org/pdf/2507.02885

On the exceptional set in the $abc$ conjecture
The $abc$ conjecture states that there are only finitely many triples of coprime positive integers $(a,b,c)$ such that $a+b=c$ and $\operatorname{rad}(abc) < c^{1-ε}$ for any $ε> 0$. Using the optimized methods in a recent work of Browning, Lichtman and Teräväinen, we showed that the number of those triples with $c \leqslant X$ is $O\left(X^{56/85+\varepsilon}\right)$ for any $\varepsilon > 0$, where $\frac{56}{85} \approx 0.658824$. This constitutes an improvement of the previous bound $O\…

Response to cosmic muons of scintillator-SiPM assemblies measured at different temperatures
M. Chadeeva, A. Stifutkin
https://arxiv.org/abs/2506.08203 http…

Response to cosmic muons of scintillator-SiPM assemblies measured at different temperatures
Highly segmented calorimeters represent a modern trend in experimental particle physics aimed at improving the energy resolution with the particle flow reconstruction. The widely used and cost-effective solution is the structure assembled from small scintillator elements readout by tiny photosensors. The improvement of signal to noise ratio can be achieved by operating at low temperatures. The paper presents studies of temperature dependence of response to muons for elements comprised of plasti…

A potential improvement for this is to have a wider set of zip bombs prepared (for example, using other constants, 1, 2, 3, ..., 255), and serve them randomly instead of always using the same one built out of zeroes.
More sophisticated approaches are also possible: https://www.usenix.org/system/files/woot19-paper_fifield_0.pdf

Efficacy of Image Similarity as a Metric for Augmenting Small Dataset Retinal Image Segmentation
Thomas Wallace, Ik Siong Heng, Senad Subasic, Chris Messenger
https://arxiv.org/abs/2507.04862

Efficacy of Image Similarity as a Metric for Augmenting Small Dataset Retinal Image Segmentation
Synthetic images are an option for augmenting limited medical imaging datasets to improve the performance of various machine learning models. A common metric for evaluating synthetic image quality is the Fréchet Inception Distance (FID) which measures the similarity of two image datasets. In this study we evaluate the relationship between this metric and the improvement which synthetic images, generated by a Progressively Growing Generative Adversarial Network (PGGAN), grant when augmenting Di…

This https://arxiv.org/abs/2502.14948 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation
Recent advances in large language models (LLMs) have improved their performance on coding benchmarks. However, improvement is plateauing due to the exhaustion of readily available high-quality data. Prior work has shown the potential of synthetic self-instruct data, but naively training on a model's own outputs can cause error accumulation, especially in coding tasks, where generalization may collapse due to overly simple or erroneous training data, highlighting the need for rigorous quality ch…

On the Natural Equivalence Between Canonical and Hilbert Energy Momentum Tensors via Noether's Theorem
Peir-Ru Wang
https://arxiv.org/abs/2507.05780 ht…

On the Natural Equivalence Between Canonical and Hilbert Energy Momentum Tensors via Noether's Theorem
In this work, we investigate the structure and properties of the canonical energy momentum tensor (EMT) across a range of field theories. We begin by developing a unified and systematic method that naturally yields the canonical EMT for gauge theory, without the need for artificial symmetrization or improvement terms. Our analysis highlights how Noether's theorem intrinsically emphasizes the 1-form nature of gauge potentials. We further extend to general relativity and demonstrate that the assu…

This https://arxiv.org/abs/2410.04444 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
The rapid advancement of large language models (LLMs) has significantly enhanced the capabilities of AI-driven agents across various tasks. However, existing agentic systems, whether based on fixed pipeline algorithms or pre-defined meta-learning frameworks, cannot search the whole agent design space due to the restriction of human-designed components, and thus might miss the globally optimal agent design. In this paper, we introduce Gödel Agent, a self-evolving framework inspired by the Göde…

The Intel 80186 was to the Intel 8086 what the 68010 was to the 68000: a small improvement that almost made it into the original design but was issued as a different chip… and almost nobody used them, and waited for the 80286/68020 instead.
https://stefanbohacek.online/@disconti

Improvement of Solid-Fluid Interaction Scheme in Lattice Boltzmann Immiscible Pseudopotential Models
Yizhong Chen, Zhibin Wang
https://arxiv.org/abs/2505.22256

Improvement of Solid-Fluid Interaction Scheme in Lattice Boltzmann Immiscible Pseudopotential Models
The pseudopotential model within the Lattice Boltzmann Method (LBM) framework has emerged as a prominent approach in computational fluid dynamics due to its dual strengths in physical intuitiveness and computational tractability. However, when modeling wettability phenomenon, existing solid-fluid interaction schemes exhibit persistent challenges in multi-component immiscible fluid systems, notably manifested through spurious velocity artifacts and unphysical mass-transfer boundary layers. This …

This https://arxiv.org/abs/2504.12941 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Osmolyte-Modulated Differential Capacitance and Disjoining Pressure for Nanoconfined Electrolytes: A Modified Poisson-Boltzmann Theory
This study employs modified Poisson-Boltzmann theory to systematically investigate the influence of zwitterionic osmolyte additives to an electrolyte solution on disjoining pressure and electric differential capacitance within charged slit-like nanopores with conductive walls. We demonstrate that increasing concentrations of zwitterionic osmolytes synergistically enhance both disjoining pressure and differential capacitance, highlighting their dual role in the potential improvement of supercapa…

This is one of the most bonkers AI hallucinations I've seen. It is as completely wrong and fictional as it is detailed and precise.
The industry continues to pursue a terrible mis-application of LLMs as a some kind of knowledge base, despite ongoing massive failures and no signs of improvement.

Engineering Cryogenic FETs: Addressing SCEs and Impact of Interface Traps Down to 2 K Temperature
Nilesh Pandey, Dipanjan Basu, Yogesh Singh Chauhan, Leonard F. Register, Sanjay K. Banerjee
https://arxiv.org/abs/2506.09356

Engineering Cryogenic FETs: Addressing SCEs and Impact of Interface Traps Down to 2 K Temperature
This paper presents a comprehensive design and benchmarking of cryogenic bulk-FET using a calibrated TCAD model integrating 2-D electrostatics and interface trap effects across temperatures from T = 2 K to 300 K. For a 28-nm node FET, transport appears predominately ballistic at T = 2 K, shifting toward quasi-ballistic transport with increasing temperature. Short-channel effects (SCEs) dominate cryogenic benefits at Lg = 25 nm for T < 25 K, as evidenced by a modest improvement in the minimum su…

QuicheBrowser on the iPhone is great.
Until I realized that the tabs I have opened are available only on the iPhone.
Until I realized that I can’t use the Keyword Search plugin (which is the best improvement to Safari) http://safarikeywordsearch.aurlien.net/

Room for improvement: Club Mate auf der #CloudLand 😍 @…

A Study on E2E Performance Improvement of Platooning Using Outdoor LiFi
Zhiyi Zhu, Eiji Takimoto, Patrick Finnerty, Chikara Ohta
https://arxiv.org/abs/2506.19304

A Study on E2E Performance Improvement of Platooning Using Outdoor LiFi
Platooning within autonomous vehicles has proven effective in addressing driver shortages and reducing fuel consumption. However, as platooning lengths increase, traditional C-V2X (cellular vehicle-to-everything) architectures are susceptible to end-to-end (E2E) latency increases. This is due to the necessity of relaying information through multiple hops from the leader vehicle to the last vehicle. To address this problem, this paper proposes a hybrid communication architecture based on a simul…

AI-powered Contextual 3D Environment Generation: A Systematic Review
Miguel Silva, Alexandre Valle de Carvalho
https://arxiv.org/abs/2506.05449 https://

AI-powered Contextual 3D Environment Generation: A Systematic Review
The generation of high-quality 3D environments is crucial for industries such as gaming, virtual reality, and cinema, yet remains resource-intensive due to the reliance on manual processes. This study performs a systematic review of existing generative AI techniques for 3D scene generation, analyzing their characteristics, strengths, limitations, and potential for improvement. By examining state-of-the-art approaches, it presents key challenges such as scene authenticity and the influence of te…

Cowboys need dramatic improvement as top NFL offenses prove run-pass balance matters https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/07/07/top-offenses-nfl-cowboys-run-pass-balance/84486103007/

"Using the tools is a necessary but not sufficient part of the process to improve.
What is needed is to use the tools with engaged people that are continually learning and adjusting the management system based on their increased understanding of the organization as a system..."

Purcell Enhancement and Suppression in Laser Cooling of Yb$^{3 }$:YLF Nanocrystals in a Fabry-P\'erot Microcavity
Lucas Mendicino, Franco Mayo, Christian Schmiegelow, Augusto Roncaglia
https://arxiv.org/abs/2505.24083

Purcell Enhancement and Suppression in Laser Cooling of Yb$^{3+}$:YLF Nanocrystals in a Fabry-Pérot Microcavity
We investigate the improvement of anti-Stokes laser cooling of a Yb$^{3+}$:YLF nanocrystal in a Fabry-Pérot microcavity via the Purcell effect. Our analysis accounts for both the enhancement of emission lines resonant with the cavity transmission and the suppression of off-resonance emissions. Using a quantum-mechanical framework, we modeled the Yb$^{3+}$ ions in a YLiF$_4$ matrix and the laser system to calculate the minimum achievable temperature and cooling efficiency, incorporating cavity-…

Crappy weather or not, we will visit the farmers market this morning. I like supporting local farmers, and there is a major improvement in the quality and freshness of their produce versus the big chains. I also pay in cash, so they get EVERY dollar!
#shoplocal

DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
Weitao Zhou, Bo Zhang, Zhong Cao, Xiang Li, Qian Cheng, Chunyang Liu, Yaqin Zhang, Diange Yang
https://arxiv.org/abs/2506.16720

DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
With the increasing presence of automated vehicles on open roads under driver supervision, disengagement cases are becoming more prevalent. While some data-driven planning systems attempt to directly utilize these disengagement cases for policy improvement, the inherent scarcity of disengagement data (often occurring as a single instances) restricts training effectiveness. Furthermore, some disengagement data should be excluded since the disengagement may not always come from the failure of dri…

The tech lead next to me has been on the phone the past 3 (work) days fielding calls from the service team installing a prototype system.
Every single problem they've encountered so far is one I - a year ago - suggested a quality-of-life/design-for-serviceability/ux improvement to mitigate, minimize or deal with should it occur.
Our product managers know our customer's industry inside and out but not one has commercial software experience. I have 30 yrs of it.
T…

In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration
Jiajie Fu, Haitong Tang, Arijit Khan, Sharad Mehrotra, Xiangyu Ke, Yunjun Gao
https://arxiv.org/abs/2506.02509

In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration
Entity Resolution (ER) is a fundamental data quality improvement task that identifies and links records referring to the same real-world entity. Traditional ER approaches often rely on pairwise comparisons, which can be costly in terms of time and monetary resources, especially with large datasets. Recently, Large Language Models (LLMs) have shown promising results in ER tasks. However, existing methods typically focus on pairwise matching, missing the potential of LLMs to perform clustering di…

from my link log —
Simulating time with square-root space.
https://arxiv.org/abs/2502.17779
saved 2025-06-08 https://dotat.at/:/L…

Simulating Time With Square-Root Space
We show that for all functions $t(n) \geq n$, every multitape Turing machine running in time $t$ can be simulated in space only $O(\sqrt{t \log t})$. This is a substantial improvement over Hopcroft, Paul, and Valiant's simulation of time $t$ in $O(t/\log t)$ space from 50 years ago [FOCS 1975, JACM 1977]. Among other results, our simulation implies that bounded fan-in circuits of size $s$ can be evaluated on any input in only $\sqrt{s} \cdot poly(\log s)$ space, and that there are explicit prob…

V(is)owel: An Interactive Vowel Chart to Understand What Makes Visual Pronunciation Effective in Second Language Learning
Charlotte Kiesel, Dipayan Mukherjee, Mark Hasegawa-Johnson, Karrie Karahalios
https://arxiv.org/abs/2507.06202

V(is)owel: An Interactive Vowel Chart to Understand What Makes Visual Pronunciation Effective in Second Language Learning
Visual feedback speeds up learners' improvement of pronunciation in a second language. The visual combined with audio allows speakers to see sounds and differences in pronunciation that they are unable to hear. Prior studies have tested different visual methods for improving pronunciation, however, we do not have conclusive understanding of what aspects of the visualizations contributed to improvements. Based on previous work, we created V(is)owel, an interactive vowel chart. Vowel charts provi…

Hands-on with seven coding agents tasked with building a website: Claude Code performed best, OpenAI's Codex lacked polish, and Replit failed to build the site (Timothy B. Lee/Understanding AI)
https://www.understandingai.org/p/what-i-learned-trying-seven-…

What I learned trying seven coding agents
There's still room for improvement, but don't underestimate this technology.

"I hate [politician on my side not doing what I want], they need to go!"
You can blame people you basically agree with, or you can work with the people available to try to work toward better.
1st feels good for maybe 5 minutes, then ruins improvement right now, the 2nd has a chance to make things better.
Try to take your anger, your resentment, which I share, to those chiefly responsible for problems, and not to those nearest and ablest to help, even if not as fla…

Interesting post from @… on the clear improvement in #SeaIce extent on @… from the AMSR-2 product that is replacing the old SSMIS satellite.
Coincidentally, a polynya is reopening in NE #Greenland as my colleague Abraham Torres prepares to present on our attempts to model (with @… #climate #CCI data) a previous polynya in that region at the #BACO25 meeting.
Will be interesting to watch
https://bsky.app/profile/signeaaboe.bsky.social/post/3lts5etpyy22g

EXPO: Stable Reinforcement Learning with Expressive Policies
Perry Dong, Qiyang Li, Dorsa Sadigh, Chelsea Finn
https://arxiv.org/abs/2507.07986 https://arxiv.org/pdf/2507.07986 https://arxiv.org/html/2507.07986
arXiv:2507.07986v1 Announce Type: new
Abstract: We study the problem of training and fine-tuning expressive policies with online reinforcement learning (RL) given an offline dataset. Training expressive policy classes with online RL present a unique challenge of stable value maximization. Unlike simpler Gaussian policies commonly used in online RL, expressive policies like diffusion and flow-matching policies are parameterized by a long denoising chain, which hinders stable gradient propagation from actions to policy parameters when optimizing against some value function. Our key insight is that we can address stable value maximization by avoiding direct optimization over value with the expressive policy and instead construct an on-the-fly RL policy to maximize Q-value. We propose Expressive Policy Optimization (EXPO), a sample-efficient online RL algorithm that utilizes an on-the-fly policy to maximize value with two parameterized policies -- a larger expressive base policy trained with a stable imitation learning objective and a light-weight Gaussian edit policy that edits the actions sampled from the base policy toward a higher value distribution. The on-the-fly policy optimizes the actions from the base policy with the learned edit policy and chooses the value maximizing action from the base and edited actions for both sampling and temporal-difference (TD) backup. Our approach yields up to 2-3x improvement in sample efficiency on average over prior methods both in the setting of fine-tuning a pretrained policy given offline data and in leveraging offline data to train online.
toXiv_bot_toot

Cosmic-Ray Physics in the PeV to EeV Energy Range with the IceCube-Gen2 Surface Array (ICRC 2025)
Frank G. Schr\"oder (for the IceCube-Gen2 Collaboration)
https://arxiv.org/abs/2507.05841

Cosmic-Ray Physics in the PeV to EeV Energy Range with the IceCube-Gen2 Surface Array (ICRC 2025)
IceCube-Gen2 is a proposed neutrino observatory at the South Pole that will build on the success of IceCube and will also serve as a unique detector for cosmic-ray air showers. Analogous to the IceTop surface array over IceCube's deep optical detector, IceCube-Gen2 will also feature a surface array above the optical array deep in the ice. As improvement over IceTop, the IceCube-Gen2 surface array will be comprised of elevated detectors to avoid snow coverage, and will combine two types of detec…

Continuous Policy and Value Iteration for Stochastic Control Problems and Its Convergence
Qi Feng, Gu Wang
https://arxiv.org/abs/2506.08121 https://…

Continuous Policy and Value Iteration for Stochastic Control Problems and Its Convergence
We introduce a continuous policy-value iteration algorithm where the approximations of the value function of a stochastic control problem and the optimal control are simultaneously updated through Langevin-type dynamics. This framework applies to both the entropy-regularized relaxed control problems and the classical control problems, with infinite horizon. We establish policy improvement and demonstrate convergence to the optimal control under the monotonicity condition of the Hamiltonian. By …

The Gauss-Markov Adjunction: Categorical Semantics of Residuals in Supervised Learning
Moto Kamiura
https://arxiv.org/abs/2507.02442 https://

The Gauss-Markov Adjunction: Categorical Semantics of Residuals in Supervised Learning
Enhancing the intelligibility and interpretability of machine learning is a crucial task in responding to the demand for Explicability as an AI principle, and in promoting the better social implementation of AI. The aim of our research is to contribute to this improvement by reformulating machine learning models through the lens of category theory, thereby developing a semantic framework for structuring and understanding AI systems. Our categorical modeling in this paper clarifies and formalize…

Improvement of Nuclide Detection through Graph Spectroscopic Analysis Framework and its Application to Nuclear Facility Upset Detection
Pedro Rodr\'iguez Fern\'andez, Christian Svinth, Alex Hagen
https://arxiv.org/abs/2506.16522

Improvement of Nuclide Detection through Graph Spectroscopic Analysis Framework and its Application to Nuclear Facility Upset Detection
We present a method to improve the detection limit for radionuclides using spectroscopic radiation detectors and the arrival time of each detected radiation quantum. We enable this method using a neural network with an attention mechanism. We illustrate the method on the detection of Cesium release from a nuclear facility during an upset, and our method shows $2\times$ improvement over the traditional spectroscopic method. We hypothesize that our method achieves this performance increase by mod…

Modeling the Effective Elastic Modulus and Thickness of Corrugated Boards Using Gaussian Process Regression and Expected Hypervolume Improvement
Ricardo Fitas
https://arxiv.org/abs/2507.02208

Modeling the Effective Elastic Modulus and Thickness of Corrugated Boards Using Gaussian Process Regression and Expected Hypervolume Improvement
This work aims to model the hypersurface of the effective elastic modulus, \( E_{z, \text{eff}} \), and thickness, \( th_{\text{eff}} \), in corrugated boards. A Latin Hypercube Sampling (LHS) is followed by Gaussian Process Regression (GP), enhanced by EHVI as a multi-objective acquisition function. Accurate modeling of \( E_{z, \text{eff}} \) and \( th_{\text{eff}} \) is critical for optimizing the mechanical properties of corrugated materials in engineering applications. LHS provides an effi…

WSCoach: Wearable Real-time Auditory Feedback for Reducing Unwanted Words in Daily Communication
Zhang Youpeng, Nuwan Janaka, Ashwin Ram, Yin Peilin, Tian Yang, Shengdong Zhao, Pierre Dragicevic
https://arxiv.org/abs/2507.04238

WSCoach: Wearable Real-time Auditory Feedback for Reducing Unwanted Words in Daily Communication
The rise of wearable smart devices raises unprecedented opportunities for self-improvement through ubiquitous behavior tracking and guidance. However, the design of effective wearable behavior intervention systems remains relatively unexplored. To address this gap, we conducted controlled studies focusing on the reduction of unwanted words (e.g., filler words, swear words) in daily communication through auditory feedback using wearable technology. We started with a design space exploration, con…

I just wrote this: #USpol

Vent or Win, Choose Wisely - David August - Medium
You can blame people you basically agree with, or you can work with the people available to try to work toward better. The first feels good for maybe 5 minutes, then ruins improvement right now; the…

Improvement on LiDAR-Camera Calibration Using Square Targets
Zhongyuan Li, Honggang Gou, Ping Li, Jiaotong Guo, Mao Ye
https://arxiv.org/abs/2506.18294 htt…

Improvement on LiDAR-Camera Calibration Using Square Targets
Precise sensor calibration is critical for autonomous vehicles as a prerequisite for perception algorithms to function properly. Rotation error of one degree can translate to position error of meters in target object detection at large distance, leading to improper reaction of the system or even safety related issues. Many methods for multi-sensor calibration have been proposed. However, there are very few work that comprehensively consider the challenges of the calibration procedure when appli…

An improvement toward global boundedness in a fully parabolic chemotaxis with singular sensitivity in any dimension
Minh Le
https://arxiv.org/abs/2506.19318

An improvement toward global boundedness in a fully parabolic chemotaxis with singular sensitivity in any dimension
We are concerned with the following chemotaxis system \begin{equation*} \begin{cases} u_t = Δu -χ\nabla \cdot \left ( \frac{u}{v} \nabla v\right ), v_t = Δv -u+ v, \end{cases} \end{equation*} in an open bounded domain with smooth boundary $Ω\subset \mathbb{R}^n$ with $n \geq 3$. It is known that solutions are globally bounded when $0<χ< \sqrt{ \frac{2}{n}}$. In this paper, by considering the following energy functional \begin{align*} F_λ(u,v)= \int_Ω\frac{u^p}{v^r} + λ\int_Ω\…

This https://arxiv.org/abs/2505.22256 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Improvement of Solid-Fluid Interaction Scheme in Lattice Boltzmann Immiscible Pseudopotential Models
The pseudopotential model within the Lattice Boltzmann Method (LBM) framework has emerged as a prominent approach in computational fluid dynamics due to its dual strengths in physical intuitiveness and computational tractability. However, when modeling wettability phenomenon, existing solid-fluid interaction schemes exhibit persistent challenges in multi-component immiscible fluid systems, notably manifested through spurious velocity artifacts and unphysical mass-transfer boundary layers. This …

Strengthening Cybersecurity Resilience in Agriculture Through Educational Interventions: A Case Study of the Ponca Tribe of Nebraska
George Grispos, Logan Mears, Larry Loucks
https://arxiv.org/abs/2505.23800

Strengthening Cybersecurity Resilience in Agriculture Through Educational Interventions: A Case Study of the Ponca Tribe of Nebraska
The increasing digitization of agricultural operations has introduced new cybersecurity challenges for the farming community. This paper introduces an educational intervention called Cybersecurity Improvement Initiative for Agriculture (CIIA), which aims to strengthen cybersecurity awareness and resilience among farmers and food producers. Using a case study that focuses on farmers from the Ponca Tribe of Nebraska, the research evaluates pre- and post- intervention survey data to assess partici…

John Willis interviewed me for his Profound podcast series...
This post provides links to more information on what we discussed in the podcast.
...
Bill Hunter (my father): Quality In The Community One City’s Experience (Madison) – Quality Comes to City Hall (Madison) – Managing Our Way to Economic Success
...
Design of Experiments
...
PDSA improvement cycle: Keys to the Effective Use of the PDSA Improvement Cycle...

This https://arxiv.org/abs/2505.09430 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches
We present a method that reduces, by an order of magnitude, the time and memory needed to train multi-task vision-language robotic diffusion policies. This improvement arises from a previously underexplored distinction between action diffusion and the image diffusion techniques that inspired it: In image generation, the target is high-dimensional. By contrast, in action generation, the dimensionality of the target is comparatively small, and only the image condition is high-dimensional. Our app…

This https://arxiv.org/abs/2401.08960 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

From User Surveys to Telemetry-Driven AI Agents: Exploring the Potential of Personalized Productivity Solutions
Information workers increasingly struggle with productivity challenges in modern workplaces, facing difficulties in managing time and effectively utilizing workplace analytics data for behavioral improvement. Despite the availability of productivity metrics through enterprise tools, workers often fail to translate this data into actionable insights. We present a comprehensive, user-centric approach to address these challenges through AI-based productivity agents tailored to users' needs. Utiliz…

Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
Yiheng Lin, Christopher Yeh, Zaiwei Chen, Adam Wierman
https://arxiv.org/abs/2506.04497

Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
We study the value of stochastic predictions in online optimal control with random disturbances. Prior work provides performance guarantees based on prediction error but ignores the stochastic dependence between predictions and disturbances. We introduce a general framework modeling their joint distribution and define "prediction power" as the control cost improvement from the optimal use of predictions compared to ignoring the predictions. In the time-varying Linear Quadratic Regulator (LQR) s…

The Raiders Must Consider All Options to Improve https://www.si.com/nfl/raiders/las-vegas-amari-cooper-pete-carroll-john-spytek-geno-smith

This https://arxiv.org/abs/2506.01759 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real
Model-free reinforcement learning has emerged as a powerful method for developing robust robot control policies capable of navigating through complex and unstructured environments. The effectiveness of these methods hinges on two essential elements: (1) the use of massively parallel physics simulations to expedite policy training, and (2) an environment generator tasked with crafting sufficiently challenging yet attainable environments to facilitate continuous policy improvement. Existing metho…

Sim2Real Diffusion: Learning Cross-Domain Adaptive Representations for Transferable Autonomous Driving
Chinmay Vilas Samak, Tanmay Vilas Samak, Bing Li, Venkat Krovi
https://arxiv.org/abs/2507.00236

Sim2Real Diffusion: Learning Cross-Domain Adaptive Representations for Transferable Autonomous Driving
Simulation-based design, optimization, and validation of autonomous driving algorithms have proven to be crucial for their iterative improvement over the years. Nevertheless, the ultimate measure of effectiveness is their successful transition from simulation to reality (sim2real). However, existing sim2real transfer methods struggle to comprehensively address the autonomy-oriented requirements of balancing: (i) conditioned domain adaptation, (ii) robust performance with limited examples, (iii)…

Tunable Virtual IMU Frame by Weighted Averaging of Multiple Non-Collocated IMUs
Yizhou Gao, Tim Barfoot
https://arxiv.org/abs/2506.00371 https://

Tunable Virtual IMU Frame by Weighted Averaging of Multiple Non-Collocated IMUs
We present a new method to combine several rigidly connected but physically separated IMUs through a weighted average into a single virtual IMU (VIMU). This has the benefits of (i) reducing process noise through averaging, and (ii) allowing for tuning the location of the VIMU. The VIMU can be placed to be coincident with, for example, a camera frame or GNSS frame, thereby offering a quality-of-life improvement for users. Specifically, our VIMU removes the need to consider any lever-arm terms in…

ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real
Youwei Yu, Junhong Xu, Lantao Liu
https://arxiv.org/abs/2506.01759 https://

ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real
Model-free reinforcement learning has emerged as a powerful method for developing robust robot control policies capable of navigating through complex and unstructured environments. The effectiveness of these methods hinges on two essential elements: (1) the use of massively parallel physics simulations to expedite policy training, and (2) an environment generator tasked with crafting sufficiently challenging yet attainable environments to facilitate continuous policy improvement. Existing metho…