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@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:08:08

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[4/6]:
- Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generation with Hard Constraints
Chuqin Geng, Li Zhang, Mark Zhang, Haolin Ye, Ziyu Zhao, Xujie Si
arxiv.org/abs/2602.16954 mastoxiv.page/@arXiv_csLG_bot/
- Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Fres...
Ziliang Zhao, et al.
arxiv.org/abs/2602.17050 mastoxiv.page/@arXiv_csLG_bot/
- MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sam...
Fu, Lin, Fang, Zheng, Hu, Shao, Qin, Pan, Zeng, Cai
arxiv.org/abs/2602.17550 mastoxiv.page/@arXiv_csLG_bot/
- A Theoretical Framework for Modular Learning of Robust Generative Models
Corinna Cortes, Mehryar Mohri, Yutao Zhong
arxiv.org/abs/2602.17554 mastoxiv.page/@arXiv_csLG_bot/
- Multi-Round Human-AI Collaboration with User-Specified Requirements
Sima Noorani, Shayan Kiyani, Hamed Hassani, George Pappas
arxiv.org/abs/2602.17646 mastoxiv.page/@arXiv_csLG_bot/
- NEXUS: A compact neural architecture for high-resolution spatiotemporal air quality forecasting i...
Rampunit Kumar, Aditya Maheshwari
arxiv.org/abs/2602.19654 mastoxiv.page/@arXiv_csLG_bot/
- Augmenting Lateral Thinking in Language Models with Humor and Riddle Data for the BRAINTEASER Task
Mina Ghashami, Soumya Smruti Mishra
arxiv.org/abs/2405.10385 mastoxiv.page/@arXiv_csCL_bot/
- Watermarking Language Models with Error Correcting Codes
Patrick Chao, Yan Sun, Edgar Dobriban, Hamed Hassani
arxiv.org/abs/2406.10281 mastoxiv.page/@arXiv_csCR_bot/
- Learning to Control Unknown Strongly Monotone Games
Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
arxiv.org/abs/2407.00575 mastoxiv.page/@arXiv_csMA_bot/
- Classification and reconstruction for single-pixel imaging with classical and quantum neural netw...
Sofya Manko, Dmitry Frolovtsev
arxiv.org/abs/2407.12506 mastoxiv.page/@arXiv_quantph_b
- Statistical Inference for Temporal Difference Learning with Linear Function Approximation
Weichen Wu, Gen Li, Yuting Wei, Alessandro Rinaldo
arxiv.org/abs/2410.16106 mastoxiv.page/@arXiv_statML_bo
- Big data approach to Kazhdan-Lusztig polynomials
Abel Lacabanne, Daniel Tubbenhauer, Pedro Vaz
arxiv.org/abs/2412.01283 mastoxiv.page/@arXiv_mathRT_bo
- MoEMba: A Mamba-based Mixture of Experts for High-Density EMG-based Hand Gesture Recognition
Mehran Shabanpour, Kasra Rad, Sadaf Khademi, Arash Mohammadi
arxiv.org/abs/2502.17457 mastoxiv.page/@arXiv_eessSP_bo
- Tightening Optimality gap with confidence through conformal prediction
Miao Li, Michael Klamkin, Russell Bent, Pascal Van Hentenryck
arxiv.org/abs/2503.04071 mastoxiv.page/@arXiv_statML_bo
- SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding
Juhyeon Park, Peter Yongho Kim, Jiook Cha, Shinjae Yoo, Taesup Moon
arxiv.org/abs/2503.06437 mastoxiv.page/@arXiv_csCV_bot/
- How much does context affect the accuracy of AI health advice?
Prashant Garg, Thiemo Fetzer
arxiv.org/abs/2504.18310 mastoxiv.page/@arXiv_econGN_bo
- Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
Daniel J. Strick, Carlos Garcia, Anthony Huang, Thomas Gardos
arxiv.org/abs/2505.06646 mastoxiv.page/@arXiv_eessIV_bo
- Sharp Gaussian approximations for Decentralized Federated Learning
Soham Bonnerjee, Sayar Karmakar, Wei Biao Wu
arxiv.org/abs/2505.08125 mastoxiv.page/@arXiv_statML_bo
- HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
Chuhao Zhou, Jianfei Yang
arxiv.org/abs/2505.17645 mastoxiv.page/@arXiv_csCV_bot/
- A Copula Based Supervised Filter for Feature Selection in Diabetes Risk Prediction Using Machine ...
Agnideep Aich, Md Monzur Murshed, Sameera Hewage, Amanda Mayeaux
arxiv.org/abs/2505.22554 mastoxiv.page/@arXiv_statML_bo
- Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
Florian F\"urrutter, Zohim Chandani, Ikko Hamamura, Hans J. Briegel, Gorka Mu\~noz-Gil
arxiv.org/abs/2506.01666 mastoxiv.page/@arXiv_quantph_b
toXiv_bot_toot

@memeorandum@universeodon.com
2026-03-25 00:01:21

Machado: Venezuela could quintuple oil production under a democratic government (James Bikales/Politico)
politico.com/news/2026/03/24/m
memeorandum.com/260324/p145#a2

@mia@hcommons.social
2026-02-26 08:36:15

A nice piece of work, I hope it encourages improvements!
Towards a science of AI agent reliability
AI 'reliability lags capability, and that reliability will remain a barrier to deployment unless researchers and developers focus effort on improving reliability as a separate dimension from accuracy'

New Paper: Towards a science of AI agent reliability
Quantifying the capability-reliability gap

@bthalpin@mastodon.social
2026-02-25 22:15:23

I've finally gotten Termux to rsync files via crontab. Needed to set up keychain, something I used to understand in the distant past. Now I have my own quantified-self data (well, location and battery) uploading to my private cloud.
#termux termux.api, python, rsync, crontab, keychain.

@brichapman@mastodon.social
2025-12-26 14:29:01

What if homeowners could control their own electricity flow and slash energy costs?
Schneider Electric and the National Lab of the Rockies have spent a decade exploring exactly that. They're developing smart panels and using AI to reimagine America's energy future—modeling scenarios for 2050 and quantifying how tech can deliver resilience and affordability.

Could American "Spirited Self-Determination" Reshape Energy? - CleanTechnica
Support CleanTechnica's work through a Substack subscription or on Stripe. How a Decades-Long Partnership Is Unearthing Answers to That and Other Electric Questions By Caitlin McDermott-Murphy, NLR In 2023, four members of Schneider Electric’s Global Research Team were touring a facility at the National Laboratory of the Rockies (NLR), formerly ... [continued]

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:08:29

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[6/6]:
- Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
Chi-Pin Huang, Yunze Man, Zhiding Yu, Min-Hung Chen, Jan Kautz, Yu-Chiang Frank Wang, Fu-En Yang
arxiv.org/abs/2601.09708 mastoxiv.page/@arXiv_csCV_bot/
- Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima
arxiv.org/abs/2601.18637 mastoxiv.page/@arXiv_quantph_b
- FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
Haozheng Luo, Zhuolin Jiang, Md Zahid Hasan, Yan Chen, Soumalya Sarkar
arxiv.org/abs/2601.19001 mastoxiv.page/@arXiv_csCL_bot/
- Analysis of Shuffling Beyond Pure Local Differential Privacy
Shun Takagi, Seng Pei Liew
arxiv.org/abs/2601.19154 mastoxiv.page/@arXiv_csDS_bot/
- CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models
Weining Fu, Kai Shu, Kui Xu, Qiangfeng Cliff Zhang
arxiv.org/abs/2602.02620
- XtraLight-MedMamba for Classification of Neoplastic Tubular Adenomas
Sultana, Afsar, Rahu, Singh, Shula, Combs, Forchetti, Asari
arxiv.org/abs/2602.04819
- Flow-Based Conformal Predictive Distributions
Trevor Harris
arxiv.org/abs/2602.07633 mastoxiv.page/@arXiv_statML_bo
- GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin
arxiv.org/abs/2602.08550 mastoxiv.page/@arXiv_csCV_bot/
- UI-Venus-1.5 Technical Report
Venus Team, et al.
arxiv.org/abs/2602.09082 mastoxiv.page/@arXiv_csCV_bot/
- The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
Xincan Feng, Noriki Nishida, Yusuke Sakai, Yuji Matsumoto
arxiv.org/abs/2602.09448 mastoxiv.page/@arXiv_csIR_bot/
- Intent Laundering: AI Safety Datasets Are Not What They Seem
Shahriar Golchin, Marc Wetter
arxiv.org/abs/2602.16729 mastoxiv.page/@arXiv_csCR_bot/
- The Metaphysics We Train: A Heideggerian Reading of Machine Learning
Heman Shakeri
arxiv.org/abs/2602.19028 mastoxiv.page/@arXiv_csCY_bot/
- Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks
David Schmotz, Luca Beurer-Kellner, Sahar Abdelnabi, Maksym Andriushchenko
arxiv.org/abs/2602.20156 mastoxiv.page/@arXiv_csCR_bot/
- A Very Big Video Reasoning Suite
Maijunxian Wang, et al.
arxiv.org/abs/2602.20159 mastoxiv.page/@arXiv_csCV_bot/
toXiv_bot_toot

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:08:18

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[5/6]:
- Watermarking Degrades Alignment in Language Models: Analysis and Mitigation
Apurv Verma, NhatHai Phan, Shubhendu Trivedi
arxiv.org/abs/2506.04462 mastoxiv.page/@arXiv_csCL_bot/
- Sensory-Motor Control with Large Language Models via Iterative Policy Refinement
J\^onata Tyska Carvalho, Stefano Nolfi
arxiv.org/abs/2506.04867 mastoxiv.page/@arXiv_csAI_bot/
- ICE-ID: A Novel Historical Census Dataset for Longitudinal Identity Resolution
de Carvalho, Popov, Kaatee, Correia, Th\'orisson, Li, Bj\"ornsson, Sigur{\dh}arson, Dibangoye
arxiv.org/abs/2506.13792 mastoxiv.page/@arXiv_csAI_bot/
- Feedback-driven recurrent quantum neural network universality
Lukas Gonon, Rodrigo Mart\'inez-Pe\~na, Juan-Pablo Ortega
arxiv.org/abs/2506.16332 mastoxiv.page/@arXiv_quantph_b
- Programming by Backprop: An Instruction is Worth 100 Examples When Finetuning LLMs
Cook, Sapora, Ahmadian, Khan, Rocktaschel, Foerster, Ruis
arxiv.org/abs/2506.18777 mastoxiv.page/@arXiv_csAI_bot/
- Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
Jiechen Chen, Bipin Rajendran, Osvaldo Simeone
arxiv.org/abs/2506.21324 mastoxiv.page/@arXiv_csNE_bot/
- Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm
Pierre Boudart (SIERRA), Pierre Gaillard (Thoth), Alessandro Rudi (PSL, DI-ENS, Inria)
arxiv.org/abs/2507.05306 mastoxiv.page/@arXiv_statML_bo
- Characterizing State Space Model and Hybrid Language Model Performance with Long Context
Saptarshi Mitra, Rachid Karami, Haocheng Xu, Sitao Huang, Hyoukjun Kwon
arxiv.org/abs/2507.12442 mastoxiv.page/@arXiv_csAR_bot/
- Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Da...
Ayush Roy, Samin Enam, Jun Xia, Won Hwa Kim, Vishnu Suresh Lokhande
arxiv.org/abs/2507.19575 mastoxiv.page/@arXiv_csCV_bot/
- TASER: Table Agents for Schema-guided Extraction and Recommendation
Nicole Cho, Kirsty Fielding, William Watson, Sumitra Ganesh, Manuela Veloso
arxiv.org/abs/2508.13404 mastoxiv.page/@arXiv_csAI_bot/
- Morphology-Aware Peptide Discovery via Masked Conditional Generative Modeling
Nuno Costa, Julija Zavadlav
arxiv.org/abs/2509.02060 mastoxiv.page/@arXiv_qbioBM_bo
- PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models
Jeongjae Lee, Jong Chul Ye
arxiv.org/abs/2509.25774 mastoxiv.page/@arXiv_csCV_bot/
- Multi-hop Deep Joint Source-Channel Coding with Deep Hash Distillation for Semantically Aligned I...
Didrik Bergstr\"om, Deniz G\"und\"uz, Onur G\"unl\"u
arxiv.org/abs/2510.06868 mastoxiv.page/@arXiv_csIT_bot/
- MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile...
Chengshu Li, et al.
arxiv.org/abs/2510.18316 mastoxiv.page/@arXiv_csRO_bot/
- A Spectral Framework for Graph Neural Operators: Convergence Guarantees and Tradeoffs
Roxanne Holden, Luana Ruiz
arxiv.org/abs/2510.20954 mastoxiv.page/@arXiv_statML_bo
- Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents
Bazinska, Mathys, Casucci, Rojas-Carulla, Davies, Souly, Pfister
arxiv.org/abs/2510.22620 mastoxiv.page/@arXiv_csCR_bot/
- Uncertainty Calibration of Multi-Label Bird Sound Classifiers
Raphael Schwinger, Ben McEwen, Vincent S. Kather, Ren\'e Heinrich, Lukas Rauch, Sven Tomforde
arxiv.org/abs/2511.08261 mastoxiv.page/@arXiv_csSD_bot/
- Two-dimensional RMSD projections for reaction path visualization and validation
Rohit Goswami (Institute IMX and Lab-COSMO, \'Ecole polytechnique f\'ed\'erale de Lausanne)
arxiv.org/abs/2512.07329 mastoxiv.page/@arXiv_physicsch
- Distribution-informed Online Conformal Prediction
Dongjian Hu, Junxi Wu, Shu-Tao Xia, Changliang Zou
arxiv.org/abs/2512.07770 mastoxiv.page/@arXiv_statML_bo
- Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Ang Lv, Jin Ma, Yiyuan Ma, Siyuan Qiao
arxiv.org/abs/2512.23447 mastoxiv.page/@arXiv_csCL_bot/
toXiv_bot_toot

@cdarwin@c.im
2026-03-21 15:26:29

With the International Energy Agency calling the war
“the largest supply disruption in the history of the global oil market,”
most experts don’t expect prices to come down soon.

Regular gas averaging $4 per gallon seems certain in the coming weeks, experts say.

“It’s more like a ‘when’ than an ‘if,’”
said Patrick De Haan, petroleum analyst at GasBuddy.

A $4 national average would mean $5.79 a gallon in California,
a state with among the highest prices

…

These car brands could suffer the most with soaring gas prices
Original analysis by The Washington Post quantifies the pain at the pump. Look up your car model.

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 10:33:41

Sparse Bayesian Deep Functional Learning with Structured Region Selection
Xiaoxian Zhu, Yingmeng Li, Shuangge Ma, Mengyun Wu
arxiv.org/abs/2602.20651 arxiv.org/pdf/2602.20651 arxiv.org/html/2602.20651
arXiv:2602.20651v1 Announce Type: new
Abstract: In modern applications such as ECG monitoring, neuroimaging, wearable sensing, and industrial equipment diagnostics, complex and continuously structured data are ubiquitous, presenting both challenges and opportunities for functional data analysis. However, existing methods face a critical trade-off: conventional functional models are limited by linearity, whereas deep learning approaches lack interpretable region selection for sparse effects. To bridge these gaps, we propose a sparse Bayesian functional deep neural network (sBayFDNN). It learns adaptive functional embeddings through a deep Bayesian architecture to capture complex nonlinear relationships, while a structured prior enables interpretable, region-wise selection of influential domains with quantified uncertainty. Theoretically, we establish rigorous approximation error bounds, posterior consistency, and region selection consistency. These results provide the first theoretical guarantees for a Bayesian deep functional model, ensuring its reliability and statistical rigor. Empirically, comprehensive simulations and real-world studies confirm the effectiveness and superiority of sBayFDNN. Crucially, sBayFDNN excels in recognizing intricate dependencies for accurate predictions and more precisely identifies functionally meaningful regions, capabilities fundamentally beyond existing approaches.
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@arXiv_csLG_bot@mastoxiv.page
2026-02-25 12:33:22

Crosslisted article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[1/3]:
- SMaRT: Online Reusable Resource Assignment and an Application to Mediation in the Kenyan Judiciary
Farabi, Pinto, Lu, Ramos-Maqueda, Das, Deeb, Sautmann
arxiv.org/abs/2602.18431 mastoxiv.page/@arXiv_csCY_bot/
- Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained Settings
Sachin Gopal Wani, Eric Page, Ajay Dholakia, David Ellison
arxiv.org/abs/2602.20164 mastoxiv.page/@arXiv_csCL_bot/
- VISION-ICE: Video-based Interpretation and Spatial Identification of Arrhythmia Origins via Neura...
Dorsa EPMoghaddam, Feng Gao, Drew Bernard, Kavya Sinha, Mehdi Razavi, Behnaam Aazhang
arxiv.org/abs/2602.20165 mastoxiv.page/@arXiv_csCV_bot/
- Benchmarking Early Deterioration Prediction Across Hospital-Rich and MCI-Like Emergency Triage Un...
KMA Solaiman, Joshua Sebastian, Karma Tobden
arxiv.org/abs/2602.20168 mastoxiv.page/@arXiv_csCY_bot/
- Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
Yang, Tian, Jia, Zhang, Zheng, Wang, Su, He, Liu, Lan
arxiv.org/abs/2602.20176 mastoxiv.page/@arXiv_qbioBM_bo
- Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systematic St...
Aniruddha Bora, Isabel K. Alvarez, Julie Chalfant, Chryssostomos Chryssostomidis
arxiv.org/abs/2602.20177 mastoxiv.page/@arXiv_csNE_bot/
- Data-Driven Deep MIMO Detection:Network Architectures and Generalization Analysis
Yongwei Yi, Xinping Yi, Wenjin Wang, Xiao Li, Shi Jin
arxiv.org/abs/2602.20178 mastoxiv.page/@arXiv_eessSP_bo
- OrgFlow: Generative Modeling of Organic Crystal Structures from Molecular Graphs
Mohammadmahdi Vahediahmar, Matthew A. McDonald, Feng Liu
arxiv.org/abs/2602.20195 mastoxiv.page/@arXiv_condmatmt
- KEMP-PIP: A Feature-Fusion Based Approach for Pro-inflammatory Peptide Prediction
Soumik Deb Niloy, Md. Fahmid-Ul-Alam Juboraj, Swakkhar Shatabda
arxiv.org/abs/2602.20198 mastoxiv.page/@arXiv_qbioQM_bo
- Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
Shaorong Chen, Jingbo Zhou, Jun Xia
arxiv.org/abs/2602.20209 mastoxiv.page/@arXiv_qbioQM_bo
- The Sim-to-Real Gap in MRS Quantification: A Systematic Deep Learning Validation for GABA
Zien Ma, S. M. Shermer, Oktay Karaku\c{s}, Frank C. Langbein
arxiv.org/abs/2602.20289 mastoxiv.page/@arXiv_eessSP_bo
- Gap-Dependent Bounds for Nearly Minimax Optimal Reinforcement Learning with Linear Function Appro...
Haochen Zhang, Zhong Zheng, Lingzhou Xue
arxiv.org/abs/2602.20297 mastoxiv.page/@arXiv_statML_bo
- Multilevel Determinants of Overweight and Obesity Among U.S. Children Aged 10-17: Comparative Eva...
Joyanta Jyoti Mondal
arxiv.org/abs/2602.20303 mastoxiv.page/@arXiv_csAI_bot/
- An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes ...
Shyr, Hu, Tinker, Cassini, Byram, Hamid, Fabbri, Wright, Peterson, Bastarache, Xu
arxiv.org/abs/2602.20324 mastoxiv.page/@arXiv_csAI_bot/
- Circuit Tracing in Vision-Language Models: Understanding the Internal Mechanisms of Multimodal Th...
Jingcheng Yang, Tianhu Xiong, Shengyi Qian, Klara Nahrstedt, Mingyuan Wu
arxiv.org/abs/2602.20330 mastoxiv.page/@arXiv_csCV_bot/
- No One Size Fits All: QueryBandits for Hallucination Mitigation
Nicole Cho, William Watson, Alec Koppel, Sumitra Ganesh, Manuela Veloso
arxiv.org/abs/2602.20332 mastoxiv.page/@arXiv_csCL_bot/
- Learning During Detection: Continual Learning for Neural OFDM Receivers via DMRS
Mohanad Obeed, Ming Jian
arxiv.org/abs/2602.20361 mastoxiv.page/@arXiv_csIT_bot/
- Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects
Joel Persson, Jurri\"en Bakker, Dennis Bohle, Stefan Feuerriegel, Florian von Wangenheim
arxiv.org/abs/2602.20383 mastoxiv.page/@arXiv_statME_bo
- Selecting Optimal Variable Order in Autoregressive Ising Models
Shiba Biswal, Marc Vuffray, Andrey Y. Lokhov
arxiv.org/abs/2602.20394 mastoxiv.page/@arXiv_statML_bo
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