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@NFL@darktundra.xyz
2026-02-24 17:25:46

2026 NFL free agency: Four free agent fits and two trades that should happen nfl.com/news/2026-nfl-free-age

2026 NFL free agency: Four free agent fits and two trades that should happen
Which AFC team could use Malik Willis' services? Should the Bills make a play for a No. 1 receiver? Nick Shook provides one team fit for four notable free agents. Plus, two trades that should happen.

@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

@heiseonline@social.heise.de
2026-02-25 10:50:00

Für Webb sichtbar, für Hubble nicht: Stern vor Supernova könnte ein Rätsel lösen
Das Weltraumteleskop James Webb forscht erst seit dreieinhalb Jahren, trotzdem hat es dabei schon einen Riesenstern abgebildet, der inzwischen explodiert ist.

Für Webb sichtbar, für Hubble nicht: Stern vor Supernova könnte ein Rätsel lösen
Das Weltraumteleskop James Webb forscht erst seit dreieinhalb Jahren, trotzdem hat es dabei schon einen Riesenstern abgebildet, der inzwischen explodiert ist.

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:07:47

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[2/6]:
- Performance Asymmetry in Model-Based Reinforcement Learning
Jing Yu Lim, Rushi Shah, Zarif Ikram, Samson Yu, Haozhe Ma, Tze-Yun Leong, Dianbo Liu
arxiv.org/abs/2505.19698 mastoxiv.page/@arXiv_csLG_bot/
- Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependenc...
Jinkwan Jang, Hyungjin Park, Jinmyeong Choi, Taesup Kim
arxiv.org/abs/2506.08660 mastoxiv.page/@arXiv_csLG_bot/
- Wasserstein Barycenter Soft Actor-Critic
Zahra Shahrooei, Ali Baheri
arxiv.org/abs/2506.10167 mastoxiv.page/@arXiv_csLG_bot/
- Foundation Models for Causal Inference via Prior-Data Fitted Networks
Yuchen Ma, Dennis Frauen, Emil Javurek, Stefan Feuerriegel
arxiv.org/abs/2506.10914 mastoxiv.page/@arXiv_csLG_bot/
- FREQuency ATTribution: benchmarking frequency-based occlusion for time series data
Dominique Mercier, Andreas Dengel, Sheraz Ahmed
arxiv.org/abs/2506.18481 mastoxiv.page/@arXiv_csLG_bot/
- Complexity-aware fine-tuning
Andrey Goncharov, Daniil Vyazhev, Petr Sychev, Edvard Khalafyan, Alexey Zaytsev
arxiv.org/abs/2506.21220 mastoxiv.page/@arXiv_csLG_bot/
- Transfer Learning in Infinite Width Feature Learning Networks
Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan
arxiv.org/abs/2507.04448 mastoxiv.page/@arXiv_csLG_bot/
- A hierarchy tree data structure for behavior-based user segment representation
Liu, Kang, Iyer, Malik, Li, Wang, Lu, Zhao, Wang, Liu, Liu, Liang, Yu
arxiv.org/abs/2508.01115 mastoxiv.page/@arXiv_csLG_bot/
- One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Lea...
Thanh Nguyen, Chang D. Yoo
arxiv.org/abs/2508.13904 mastoxiv.page/@arXiv_csLG_bot/
- Uncertainty Propagation Networks for Neural Ordinary Differential Equations
Hadi Jahanshahi, Zheng H. Zhu
arxiv.org/abs/2508.16815 mastoxiv.page/@arXiv_csLG_bot/
- Learning Unified Representations from Heterogeneous Data for Robust Heart Rate Modeling
Zhengdong Huang, Zicheng Xie, Wentao Tian, Jingyu Liu, Lunhong Dong, Peng Yang
arxiv.org/abs/2508.21785 mastoxiv.page/@arXiv_csLG_bot/
- Monte Carlo Tree Diffusion with Multiple Experts for Protein Design
Liu, Cao, Jiang, Luo, Duan, Wang, Sosnick, Xu, Stevens
arxiv.org/abs/2509.15796 mastoxiv.page/@arXiv_csLG_bot/
- From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting
Xilin Dai, Zhijian Xu, Wanxu Cai, Qiang Xu
arxiv.org/abs/2509.19975 mastoxiv.page/@arXiv_csLG_bot/
- Why High-rank Neural Networks Generalize?: An Algebraic Framework with RKHSs
Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
arxiv.org/abs/2509.21895 mastoxiv.page/@arXiv_csLG_bot/
- From Parameters to Behaviors: Unsupervised Compression of the Policy Space
Davide Tenedini, Riccardo Zamboni, Mirco Mutti, Marcello Restelli
arxiv.org/abs/2509.22566 mastoxiv.page/@arXiv_csLG_bot/
- RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
Haoyu He, Haozheng Luo, Yan Chen, Qi R. Wang
arxiv.org/abs/2509.23115 mastoxiv.page/@arXiv_csLG_bot/
- Polychromic Objectives for Reinforcement Learning
Jubayer Ibn Hamid, Ifdita Hasan Orney, Ellen Xu, Chelsea Finn, Dorsa Sadigh
arxiv.org/abs/2509.25424 mastoxiv.page/@arXiv_csLG_bot/
- Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models
Siddarth Venkatraman, et al.
arxiv.org/abs/2509.26626 mastoxiv.page/@arXiv_csLG_bot/
- Cautious Weight Decay
Chen, Li, Liang, Su, Xie, Pierse, Liang, Lao, Liu
arxiv.org/abs/2510.12402 mastoxiv.page/@arXiv_csLG_bot/
- TeamFormer: Shallow Parallel Transformers with Progressive Approximation
Wei Wang, Xiao-Yong Wei, Qing Li
arxiv.org/abs/2510.15425 mastoxiv.page/@arXiv_csLG_bot/
- Latent-Augmented Discrete Diffusion Models
Dario Shariatian, Alain Durmus, Umut Simsekli, Stefano Peluchetti
arxiv.org/abs/2510.18114 mastoxiv.page/@arXiv_csLG_bot/
- Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease using Machine Learning Method...
Mary E. An, Paul Griffin, Jonathan G. Stine, Ramakrishna Balakrishnan, Soundar Kumara
arxiv.org/abs/2510.22293 mastoxiv.page/@arXiv_csLG_bot/
toXiv_bot_toot

@steve@s.yelvington.com
2025-12-24 17:50:24

All I want for Christmas is ..
From: @…
threads.com/@laughingsquid/pos

Laughing Squid (@laughingsquid) sur Threads
Colin Furze created a rapid-fire "gun" that shoots multiple rolls of toilet paper at once as a "Secret Santa" gift for fellow creators. https://laughingsquid.com/rapid-fire-leaf-blower-toilet-paper/

@Techmeme@techhub.social
2025-12-25 23:00:58

An interview with Citizen Lab founder Ronald Deibert about the US adopting authoritarian digital practices, the research group's accomplishments, and more (Finian Hazen/MIT Technology Review)
technologyreview.com/2025/12/2

Meet the man hunting the spies in your smartphone
Ronald Deibert and his research group, the Citizen Lab, have rigorously worked to unveil alarming digital threats for the past two decades. Now, he warns, this kind of work is under threat.

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:07:58

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[3/6]:
- Towards Scalable Oversight via Partitioned Human Supervision
Ren Yin, Takashi Ishida, Masashi Sugiyama
arxiv.org/abs/2510.22500 mastoxiv.page/@arXiv_csLG_bot/
- ContextPilot: Fast Long-Context Inference via Context Reuse
Yinsicheng Jiang, Yeqi Huang, Liang Cheng, Cheng Deng, Xuan Sun, Luo Mai
arxiv.org/abs/2511.03475 mastoxiv.page/@arXiv_csLG_bot/
- Metabolomic Biomarker Discovery for ADHD Diagnosis Using Interpretable Machine Learning
Nabil Belacel, Mohamed Rachid Boulassel
arxiv.org/abs/2601.11283 mastoxiv.page/@arXiv_csLG_bot/
- PhysE-Inv: A Physics-Encoded Inverse Modeling approach for Arctic Snow Depth Prediction
Akila Sampath, Vandana Janeja, Jianwu Wang
arxiv.org/abs/2601.17074
- SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network
Cristian Manca, Christian Scano, Giorgio Piras, Fabio Brau, Maura Pintor, Battista Biggio
arxiv.org/abs/2602.03596
- LORE: Jointly Learning the Intrinsic Dimensionality and Relative Similarity Structure From Ordina...
Anand, Helbling, Davenport, Berman, Alagapan, Rozell
arxiv.org/abs/2602.04192
- Towards Robust Scaling Laws for Optimizers
Alexandra Volkova, Mher Safaryan, Christoph H. Lampert, Dan Alistarh
arxiv.org/abs/2602.07712 mastoxiv.page/@arXiv_csLG_bot/
- Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs
Sagnik Mukherjee, Lifan Yuan, Pavan Jayasinha, Dilek Hakkani-T\"ur, Hao Peng
arxiv.org/abs/2602.07729 mastoxiv.page/@arXiv_csLG_bot/
- AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine L...
Yuzhu Cai, Zexi Liu, Xinyu Zhu, Cheng Wang, Siheng Chen
arxiv.org/abs/2602.07906 mastoxiv.page/@arXiv_csLG_bot/
- VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Guobin Shen, Chenxiao Zhao, Xiang Cheng, Lei Huang, Xing Yu
arxiv.org/abs/2602.10693 mastoxiv.page/@arXiv_csLG_bot/
- KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models
Zukang Xu, Zhixiong Zhao, Xing Hu, Zhixuan Chen, Dawei Yang
arxiv.org/abs/2602.11184 mastoxiv.page/@arXiv_csLG_bot/
- MUSE: Multi-Tenant Model Serving With Seamless Model Updates
Correia, Ferreira, Martins, Bento, Guerreiro, Pereira, Gomes, Bono, Ferreira, Bizarro
arxiv.org/abs/2602.11776 mastoxiv.page/@arXiv_csLG_bot/
- Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference
Jorge Carrasco-Pollo, Floor Eijkelboom, Jan-Willem van de Meent
arxiv.org/abs/2602.13813 mastoxiv.page/@arXiv_csLG_bot/
- Silent Inconsistency in Data-Parallel Full Fine-Tuning: Diagnosing Worker-Level Optimization Misa...
Hong Li, Zhen Zhou, Honggang Zhang, Yuping Luo, Xinyue Wang, Han Gong, Zhiyuan Liu
arxiv.org/abs/2602.14462 mastoxiv.page/@arXiv_csLG_bot/
- Divine Benevolence is an $x^2$: GLUs scale asymptotically faster than MLPs
Alejandro Francisco Queiruga
arxiv.org/abs/2602.14495 mastoxiv.page/@arXiv_csLG_bot/
- \"UberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset
DatologyAI, et al.
arxiv.org/abs/2602.15210 mastoxiv.page/@arXiv_csLG_bot/
- GLM-5: from Vibe Coding to Agentic Engineering
GLM-5-Team, et al.
arxiv.org/abs/2602.15763 mastoxiv.page/@arXiv_csLG_bot/
- Anatomy of Capability Emergence: Scale-Invariant Representation Collapse and Top-Down Reorganizat...
Jayadev Billa
arxiv.org/abs/2602.15997 mastoxiv.page/@arXiv_csLG_bot/
- AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models
KC Santosh, Srikanth Baride, Rodrigue Rizk
arxiv.org/abs/2602.16042 mastoxiv.page/@arXiv_csLG_bot/
- Beyond Message Passing: A Symbolic Alternative for Expressive and Interpretable Graph Learning
Chuqin Geng, Li Zhang, Haolin Ye, Ziyu Zhao, Yuhe Jiang, Tara Saba, Xinyu Wang, Xujie Si
arxiv.org/abs/2602.16947 mastoxiv.page/@arXiv_csLG_bot/
toXiv_bot_toot

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:07:37

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[1/6]:
- Towards Attributions of Input Variables in a Coalition
Xinhao Zheng, Huiqi Deng, Quanshi Zhang
arxiv.org/abs/2309.13411
- Knee or ROC
Veronica Wendt, Jacob Steiner, Byunggu Yu, Caleb Kelly, Justin Kim
arxiv.org/abs/2401.07390
- Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almud\'evar, Alfonso Ortega
arxiv.org/abs/2408.07016 mastoxiv.page/@arXiv_csLG_bot/
- Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
Etrit Haxholli, Yeti Z. Gurbuz, Ogul Can, Eli Waxman
arxiv.org/abs/2411.00759 mastoxiv.page/@arXiv_csLG_bot/
- Predicting Subway Passenger Flows under Incident Situation with Causality
Xiannan Huang, Shuhan Qiu, Quan Yuan, Chao Yang
arxiv.org/abs/2412.06871 mastoxiv.page/@arXiv_csLG_bot/
- Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling
Paul Joe Maliakel, Shashikant Ilager, Ivona Brandic
arxiv.org/abs/2501.08219 mastoxiv.page/@arXiv_csLG_bot/
- Universality of Benign Overfitting in Binary Linear Classification
Ichiro Hashimoto, Stanislav Volgushev, Piotr Zwiernik
arxiv.org/abs/2501.10538 mastoxiv.page/@arXiv_csLG_bot/
- Safe Reinforcement Learning for Real-World Engine Control
Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber, Jakob Andert
arxiv.org/abs/2501.16613 mastoxiv.page/@arXiv_csLG_bot/
- A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Alexander Korotin
arxiv.org/abs/2502.01310
- Improving the Convergence of Private Shuffled Gradient Methods with Public Data
Shuli Jiang, Pranay Sharma, Zhiwei Steven Wu, Gauri Joshi
arxiv.org/abs/2502.03652 mastoxiv.page/@arXiv_csLG_bot/
- Using the Path of Least Resistance to Explain Deep Networks
Sina Salek, Joseph Enguehard
arxiv.org/abs/2502.12108 mastoxiv.page/@arXiv_csLG_bot/
- Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
arxiv.org/abs/2502.17028 mastoxiv.page/@arXiv_csLG_bot/
- Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
Sharan Vaswani, Reza Babanezhad
arxiv.org/abs/2503.00229 mastoxiv.page/@arXiv_csLG_bot/
- Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling
Yan Li, Zhenyu Zhang, Zhengang Wang, Pengfei Chen, Pengfei Zheng
arxiv.org/abs/2503.04398 mastoxiv.page/@arXiv_csLG_bot/
- A Survey on Federated Fine-tuning of Large Language Models
Wu, Tian, Li, Sun, Tam, Zhou, Liao, Xiong, Guo, Li, Xu
arxiv.org/abs/2503.12016 mastoxiv.page/@arXiv_csLG_bot/
- Towards Trustworthy GUI Agents: A Survey
Yucheng Shi, Wenhao Yu, Jingyuan Huang, Wenlin Yao, Wenhu Chen, Ninghao Liu
arxiv.org/abs/2503.23434 mastoxiv.page/@arXiv_csLG_bot/
- CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
Chao Yang, Xiannan Huang, Shuhan Qiu, Yan Cheng
arxiv.org/abs/2504.13961 mastoxiv.page/@arXiv_csLG_bot/
- Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
Nikola Zubi\'c, Davide Scaramuzza
arxiv.org/abs/2505.11602 mastoxiv.page/@arXiv_csLG_bot/
- RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
Alonso Urbano, David W. Romero, Max Zimmer, Sebastian Pokutta
arxiv.org/abs/2505.13289 mastoxiv.page/@arXiv_csLG_bot/
- RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang, Bingcong Li, Georgios B. Giannakis
arxiv.org/abs/2505.18877 mastoxiv.page/@arXiv_csLG_bot/
- SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data
Bechler-Speicher, Zerio, Huri, Vestergaard, Gilad-Bachrach, Jess, Bhatt, Sazonovs
arxiv.org/abs/2505.19193 mastoxiv.page/@arXiv_csLG_bot/
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@arXiv_csLG_bot@mastoxiv.page
2025-12-22 13:54:35

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[2/5]:
- The Diffusion Duality
Sahoo, Deschenaux, Gokaslan, Wang, Chiu, Kuleshov
arxiv.org/abs/2506.10892 mastoxiv.page/@arXiv_csLG_bot/
- Multimodal Representation Learning and Fusion
Jin, Ge, Xie, Luo, Song, Bi, Liang, Guan, Yeong, Song, Hao
arxiv.org/abs/2506.20494 mastoxiv.page/@arXiv_csLG_bot/
- The kernel of graph indices for vector search
Mariano Tepper, Ted Willke
arxiv.org/abs/2506.20584 mastoxiv.page/@arXiv_csLG_bot/
- OptScale: Probabilistic Optimality for Inference-time Scaling
Youkang Wang, Jian Wang, Rubing Chen, Xiao-Yong Wei
arxiv.org/abs/2506.22376 mastoxiv.page/@arXiv_csLG_bot/
- Boosting Revisited: Benchmarking and Advancing LP-Based Ensemble Methods
Fabian Akkerman, Julien Ferry, Christian Artigues, Emmanuel Hebrard, Thibaut Vidal
arxiv.org/abs/2507.18242 mastoxiv.page/@arXiv_csLG_bot/
- MolMark: Safeguarding Molecular Structures through Learnable Atom-Level Watermarking
Runwen Hu, Peilin Chen, Keyan Ding, Shiqi Wang
arxiv.org/abs/2508.17702 mastoxiv.page/@arXiv_csLG_bot/
- Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Protot...
Fatema Siddika, Md Anwar Hossen, Wensheng Zhang, Anuj Sharma, Juan Pablo Mu\~noz, Ali Jannesari
arxiv.org/abs/2508.19009 mastoxiv.page/@arXiv_csLG_bot/
- STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems
Gary Simethy, Daniel Ortiz-Arroyo, Petar Durdevic
arxiv.org/abs/2508.19011 mastoxiv.page/@arXiv_csLG_bot/
- EEGDM: Learning EEG Representation with Latent Diffusion Model
Shaocong Wang, Tong Liu, Yihan Li, Ming Li, Kairui Wen, Pei Yang, Wenqi Ji, Minjing Yu, Yong-Jin Liu
arxiv.org/abs/2508.20705 mastoxiv.page/@arXiv_csLG_bot/
- Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration
Xiao Zhang, Zengzhe Chen, Yuan Yuan, Yifei Zou, Fuzhen Zhuang, Wenyu Jiao, Yuke Wang, Dongxiao Yu
arxiv.org/abs/2509.25977 mastoxiv.page/@arXiv_csLG_bot/
- Fine-Tuning Masked Diffusion for Provable Self-Correction
Jaeyeon Kim, Seunggeun Kim, Taekyun Lee, David Z. Pan, Hyeji Kim, Sham Kakade, Sitan Chen
arxiv.org/abs/2510.01384 mastoxiv.page/@arXiv_csLG_bot/
- A Generic Machine Learning Framework for Radio Frequency Fingerprinting
Alex Hiles, Bashar I. Ahmad
arxiv.org/abs/2510.09775 mastoxiv.page/@arXiv_csLG_bot/
- ASecond-Order SpikingSSM for Wearables
Kartikay Agrawal, Abhijeet Vikram, Vedant Sharma, Vaishnavi Nagabhushana, Ayon Borthakur
arxiv.org/abs/2510.14386 mastoxiv.page/@arXiv_csLG_bot/
- Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
Heming Zou, Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji
arxiv.org/abs/2510.16882 mastoxiv.page/@arXiv_csLG_bot/
- Seeing Structural Failure Before it Happens: An Image-Based Physics-Informed Neural Network (PINN...
Omer Jauhar Khan, Sudais Khan, Hafeez Anwar, Shahzeb Khan, Shams Ul Arifeen
arxiv.org/abs/2510.23117 mastoxiv.page/@arXiv_csLG_bot/
- Training Deep Physics-Informed Kolmogorov-Arnold Networks
Spyros Rigas, Fotios Anagnostopoulos, Michalis Papachristou, Georgios Alexandridis
arxiv.org/abs/2510.23501 mastoxiv.page/@arXiv_csLG_bot/
- Semi-Supervised Preference Optimization with Limited Feedback
Seonggyun Lee, Sungjun Lim, Seojin Park, Soeun Cheon, Kyungwoo Song
arxiv.org/abs/2511.00040 mastoxiv.page/@arXiv_csLG_bot/
- Towards Causal Market Simulators
Dennis Thumm, Luis Ontaneda Mijares
arxiv.org/abs/2511.04469 mastoxiv.page/@arXiv_csLG_bot/
- Incremental Generation is Necessary and Sufficient for Universality in Flow-Based Modelling
Hossein Rouhvarzi, Anastasis Kratsios
arxiv.org/abs/2511.09902 mastoxiv.page/@arXiv_csLG_bot/
- Optimizing Mixture of Block Attention
Guangxuan Xiao, Junxian Guo, Kasra Mazaheri, Song Han
arxiv.org/abs/2511.11571 mastoxiv.page/@arXiv_csLG_bot/
- Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs
Shasha Zhou, Mingyu Huang, Jack Cole, Charles Britton, Ming Yin, Jan Wolber, Ke Li
arxiv.org/abs/2511.12817 mastoxiv.page/@arXiv_csLG_bot/
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@arXiv_csLG_bot@mastoxiv.page
2025-12-22 13:54:24

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[1/5]:
- Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization a...
Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert Nowak, Yixuan Li
arxiv.org/abs/2306.09158
- Sparse, Efficient and Explainable Data Attribution with DualXDA
Galip \"Umit Yolcu, Moritz Weckbecker, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
arxiv.org/abs/2402.12118 mastoxiv.page/@arXiv_csLG_bot/
- HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAs
Sun, Que, {\AA}rrestad, Loncar, Ngadiuba, Luk, Spiropulu
arxiv.org/abs/2405.00645 mastoxiv.page/@arXiv_csLG_bot/
- On the Identification of Temporally Causal Representation with Instantaneous Dependence
Li, Shen, Zheng, Cai, Song, Gong, Chen, Zhang
arxiv.org/abs/2405.15325 mastoxiv.page/@arXiv_csLG_bot/
- Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applications
Yang Li, Daniel Agyei Asante, Changsheng Zhao, Ernie Chang, Yangyang Shi, Vikas Chandra
arxiv.org/abs/2405.15877 mastoxiv.page/@arXiv_csLG_bot/
- Privacy Bias in Language Models: A Contextual Integrity-based Auditing Metric
Yan Shvartzshnaider, Vasisht Duddu
arxiv.org/abs/2409.03735 mastoxiv.page/@arXiv_csLG_bot/
- Low-Rank Filtering and Smoothing for Sequential Deep Learning
Joanna Sliwa, Frank Schneider, Nathanael Bosch, Agustinus Kristiadi, Philipp Hennig
arxiv.org/abs/2410.06800 mastoxiv.page/@arXiv_csLG_bot/
- Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
Xiaoyu Tao, Tingyue Pan, Mingyue Cheng, Yucong Luo, Qi Liu, Enhong Chen
arxiv.org/abs/2410.18686 mastoxiv.page/@arXiv_csLG_bot/
- Fairness via Independence: A (Conditional) Distance Covariance Framework
Ruifan Huang, Haixia Liu
arxiv.org/abs/2412.00720 mastoxiv.page/@arXiv_csLG_bot/
- Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning
Simon Frieder, et al.
arxiv.org/abs/2412.15184 mastoxiv.page/@arXiv_csLG_bot/
- Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy
Ishank Juneja, Carlee Joe-Wong, Osman Ya\u{g}an
arxiv.org/abs/2501.10290 mastoxiv.page/@arXiv_csLG_bot/
- Towards Human-Guided, Data-Centric LLM Co-Pilots
Evgeny Saveliev, Jiashuo Liu, Nabeel Seedat, Anders Boyd, Mihaela van der Schaar
arxiv.org/abs/2501.10321 mastoxiv.page/@arXiv_csLG_bot/
- Regularized Langevin Dynamics for Combinatorial Optimization
Shengyu Feng, Yiming Yang
arxiv.org/abs/2502.00277
- Generating Samples to Probe Trained Models
Eren Mehmet K{\i}ral, Nur\c{s}en Ayd{\i}n, \c{S}. \.Ilker Birbil
arxiv.org/abs/2502.06658 mastoxiv.page/@arXiv_csLG_bot/
- On Agnostic PAC Learning in the Small Error Regime
Julian Asilis, Mikael M{\o}ller H{\o}gsgaard, Grigoris Velegkas
arxiv.org/abs/2502.09496 mastoxiv.page/@arXiv_csLG_bot/
- Preconditioned Inexact Stochastic ADMM for Deep Model
Shenglong Zhou, Ouya Wang, Ziyan Luo, Yongxu Zhu, Geoffrey Ye Li
arxiv.org/abs/2502.10784 mastoxiv.page/@arXiv_csLG_bot/
- On the Effect of Sampling Diversity in Scaling LLM Inference
Wang, Liu, Chen, Light, Liu, Chen, Zhang, Cheng
arxiv.org/abs/2502.11027 mastoxiv.page/@arXiv_csLG_bot/
- How to use score-based diffusion in earth system science: A satellite nowcasting example
Randy J. Chase, Katherine Haynes, Lander Ver Hoef, Imme Ebert-Uphoff
arxiv.org/abs/2505.10432 mastoxiv.page/@arXiv_csLG_bot/
- PEAR: Equal Area Weather Forecasting on the Sphere
Hampus Linander, Christoffer Petersson, Daniel Persson, Jan E. Gerken
arxiv.org/abs/2505.17720 mastoxiv.page/@arXiv_csLG_bot/
- Train Sparse Autoencoders Efficiently by Utilizing Features Correlation
Vadim Kurochkin, Yaroslav Aksenov, Daniil Laptev, Daniil Gavrilov, Nikita Balagansky
arxiv.org/abs/2505.22255 mastoxiv.page/@arXiv_csLG_bot/
- A Certified Unlearning Approach without Access to Source Data
Umit Yigit Basaran, Sk Miraj Ahmed, Amit Roy-Chowdhury, Basak Guler
arxiv.org/abs/2506.06486 mastoxiv.page/@arXiv_csLG_bot/
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