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| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Search and browse arXiv CS/AI/ML papers, enriched with AI-generated insights.
Generate novel research ideas grounded in real arXiv papers with Brainstorm.
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Search and browse arXiv CS/AI/ML papers, enriched with AI-generated insights.
Generate novel research ideas grounded in real arXiv papers with Brainstorm.
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Showing 1-30 of 123 papers (page 1 of 5)路 39 ms
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
| Defence against the dark arts of distillation: Unsupervised discovery of subliminal learning Ciar谩n M. Gilligan-Lee, Joseph Egan, Michael O'Riordan, Yuchen Zhu Published: 2026-10-09Area: stat.MLCitations: 15 Tags: ai-safety, preprint, statml | 2026-10-09 | stat.ML | ai-safety, preprint, statml | E7 / R5 (90%) | 15 |
| Not All Dimensions Are Equal: Outlier-Aware Attention Linearization with Grouped Quadratic Kernels Qianyue Wu, Tianyang Hu, Weiqi Sun, Wenjia Wang Published: 2026-10-09Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-09 | stat.ML | ai-safety, preprint, statml | E10 / R9 (90%) | - |
| Prediction-Powered Data Fusion for Treatment Effect Estimation Shu Yang, Yonghan Jung Published: 2026-10-08Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-08 | stat.ML | ai-safety, preprint, statml | E11 / R13 (95%) | - |
| From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier Fabrice Cl茅rot, Vincent Lemaire Published: 2026-10-07Area: stat.MLCitations: 15 Tags: ai-safety, preprint, statml | 2026-10-07 | stat.ML | ai-safety, preprint, statml | E6 / R4 (93%) | 15 |
| Careful Judge: Safe and Efficient Human-AI Collaborative Decision Making Anjali Parashar, Apoorva Sharma, Boyi Li, Chenyu Zhang Published: 2026-10-06Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-06 | stat.ML | ai-safety, preprint, statml | E8 / R8 (92%) | - |
| Feature Information Dynamics in Diffusion Jia-Shu Pan, Tailin Wu, Tao Zhang, Yanjun Sheng Published: 2026-10-06Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-06 | stat.ML | ai-safety, preprint, statml | - | - |
| Two-Sample Testing via Path-based Inference Christoph Lippert, Eshant English, Kenji Fukumizu, Taiji Suzuki Published: 2026-10-05Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-05 | stat.ML | ai-safety, preprint, statml | - | - |
| Valid Stopping in Adaptive Generator-Verifier Loops Aymeric Dieuleveut, Mahmoud Hegazy, Michael I. Jordan Published: 2026-10-05Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-05 | stat.ML | ai-safety, preprint, statml | - | - |
| G-CARB: Graph-Localized Conformal Agent Risk Budget for Compositional Harm Masoud Asgharian, Vahid Partovi Nia, Yu Gu, Zijun Yu Published: 2026-10-04Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-04 | stat.ML | ai-safety, preprint, statml | - | - |
| Risk-Calibrated Proposal Transport for Finite-Particle Diffusion Steering Donghyun Koh, Haneul Choi, Jaehyeon Kim, Kyungsu Kim Published: 2026-10-03Area: stat.MLCitations: 50 Tags: ai-safety, preprint, statml | 2026-10-03 | stat.ML | ai-safety, preprint, statml | E9 / R7 (92%) | 50 |
| AREX: Affine-Residual Exponential Integrator for Few-Step Sampling in Flow Matching N. Benjamin Erichson, Shizheng Lin, Soon Hoe Lim Published: 2026-10-02Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-02 | stat.ML | ai-safety, preprint, statml | - | - |
| Generalization Bounds for Flow-matching Generative Models for Intrinsically Low-dimensional Data Peter L. Bartlett, Quentin Berthet, Saptarshi Chakraborty Published: 2026-10-02Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-02 | stat.ML | ai-safety, preprint, statml | E10 / R7 (96%) | - |
| Generalization Properties of Score-matching Diffusion Models for Intrinsically Low-dimensional Data Peter L. Bartlett, Quentin Berthet, Saptarshi Chakraborty Published: 2026-10-02Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-02 | stat.ML | ai-safety, preprint, statml | E7 / R5 (92%) | - |
| Learning Style, Forgetting Semantics: A Case Study of SFT and RFT on Classification Tasks Haodong Liang, Krishnakumar Balasubramanian, Lifeng Lai, Yanhao Jin Published: 2026-10-01Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-01 | stat.ML | ai-safety, preprint, statml | E7 / R6 (92%) | - |
| Optimal Transport Meets Reinforcement Learning: A Survey Charles A. Hepburn, Giovanni Montana, Matthew Thorpe, Yujie Zhu Published: 2026-10-01Area: stat.MLCitations: 150 Tags: ai-safety, preprint, statml | 2026-10-01 | stat.ML | ai-safety, preprint, statml | E10 / R7 (94%) | 150 |
| Posterior sampling by source-space MCMC via prior-based few-step transport maps Hoang Phuc Hau Luu, Marcelo Hartmann, Zhongjian Wang Published: 2026-10-01Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-10-01 | stat.ML | ai-safety, preprint, statml | E7 / R6 (92%) | - |
| BayesNDE: Bayesian Generative Modeling for Neural Density Estimation Chenglin Li, Qiao Liu Published: 2026-09-30Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-09-30 | stat.ML | ai-safety, preprint, statml | - | - |
| CAMOS: Coupled Oscillatory State-Space Model for Multimodal Clinical Time-Series Maxx Richard Rahman, Mostafa Hammouda, Wolfgang Maass Published: 2026-09-30Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-09-30 | stat.ML | ai-safety, preprint, statml | - | - |
| Learning to Cover Locally: Graph Neural Combinatorial Optimization under a Hard Information Horizon Johannes F. Loevenich, Laurin Holz, Maxime Schwarzer, Roberto Rigolin F. Lopes Published: 2026-09-30Area: stat.MLCitations: 15 Tags: ai-safety, preprint, statml | 2026-09-30 | stat.ML | ai-safety, preprint, statml | E7 / R5 (94%) | 15 |
| Target-Dependent Limits of Causal Repair: A Leading-Log Frontier in a Gaussian Model Jiaqi Liu, Qinchuan Cheng, Ruixuan Xie Published: 2026-09-30Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-09-30 | stat.ML | ai-safety, preprint, statml | E8 / R5 (92%) | - |
| Acceleration of Diffusion Language Model through Discrete Average Generator Alec Go, George Michailidis, Henry Li, Jianhang Chen Published: 2026-09-29Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-09-29 | stat.ML | ai-safety, preprint, statml | E9 / R7 (95%) | - |
| Bandits with Multiple Optimal Arms: Minimax Regret and Non-Adaptivit Heyang Zhao, Kaixuan Ji, Qingyue Zhao, Qiwei Di Published: 2026-09-29Area: stat.MLCitations: 45 Tags: ai-safety, preprint, statml | 2026-09-29 | stat.ML | ai-safety, preprint, statml | E8 / R6 (91%) | 45 |
| Bandits with Multiple Optimal Arms: Minimax Regret and Non-Adaptivity Heyang Zhao, Kaixuan Ji, Qingyue Zhao, Qiwei Di Published: 2026-09-29Area: stat.MLCitations: 25 Tags: ai-safety, preprint, statml | 2026-09-29 | stat.ML | ai-safety, preprint, statml | E9 / R6 (93%) | 25 |
| AlphaPareto: Formulaic Alpha Discovery with LLM-Guided Multi-Objective Reinforcement Learning Yingbo Zhao, Zeyu Yang, Zhoufan Zhu Published: 2026-09-28Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-09-28 | stat.ML | ai-safety, preprint, statml | - | - |
| Understanding Generalization Requires Universal Induction Aram Ebtekar, Danica J. Sutherland, Marcus Hutter Published: 2026-09-28Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-09-28 | stat.ML | ai-safety, preprint, statml | - | - |
| An Active-Bottleneck Mechanism for Weak-to-Strong Generalization Amir Najafi, Mohammad Zeinalpour Published: 2026-09-27Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-09-27 | stat.ML | ai-safety, preprint, statml | - | - |
| HARMONIA: Interpretable Graph Learning through Mixtures of Neural Bases An Nguyen Dang, Huyen Nguyen, My T. Thai, Nguyen Do Published: 2026-09-27Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-09-27 | stat.ML | ai-safety, preprint, statml | - | - |
| Which Self-Improvements Should We Trust? Reliable Self-Improvement When Agents Reuse Their Benchmarks Xiaojing Sun, Xiao Wang, Yuhan Zeng, Zihua She Published: 2026-09-27Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-09-27 | stat.ML | ai-safety, preprint, statml | - | - |
| Which Self-Improvements Should We Trust? Reliable Self-Improvement When Agents Reuse Their Benchmarks Xiaojing Sun, Xiao Wang, Yuhan Zeng, Zihua She Published: 2026-09-27Area: stat.MLCitations: 45 Tags: ai-safety, preprint, statml | 2026-09-27 | stat.ML | ai-safety, preprint, statml | E7 / R5 (91%) | 45 |
| Adaptive multi-resolution Gaussian processes: Scalable exact inference with naturally data-sparse covariance matrices Heng Yong, Jun Liu, Tengchao Yu, Yanchuang Cao Published: 2026-09-24Area: stat.MLCitations: 53 Tags: ai-safety, preprint, statml | 2026-09-24 | stat.ML | ai-safety, preprint, statml | E7 / R7 (94%) | 53 |