Adrian Kosowski, Przemys{\l}aw Uzna\'nski, Jan Chorowski, Zuzanna Stamirowska, Micha{\l} Bartoszkiewicz: The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain https://arxiv.org/abs/2509.26507 https://arxiv.org/pdf/2509.26507 https://arxiv.org/html/2509.26507

Sven Dummer, Tjeerd Jan Heeringa, Jos\'e A. Iglesias: Vector-Valued Reproducing Kernel Banach Spaces for Neural Networks and Operators https://arxiv.org/abs/2509.26371 https://arxiv.org/pdf/2509.26371 https://arxiv.org/html/2509.26371

Margarita A. Guerrero, Cristian R. Rojas: ACE: Adapting sampling for Counterfactual Explanations https://arxiv.org/abs/2509.26322 https://arxiv.org/pdf/2509.26322 https://arxiv.org/html/2509.26322

Gherardo Varando, Manuele Leonelli, Jordi Cerd\`a-Bautista, Vasileios Sitokonstantinou, Gustau Camps-Valls: Staged Event Trees for Transparent Treatment Effect Estimation https://arxiv.org/abs/2509.26265 https://arxiv.org/pdf/2509.26265 https://arxiv.org/html/2509.26265

Maybritt Schillinger, Maxim Samarin, Xinwei Shen, Reto Knutti, Nicolai Meinshausen: EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules https://arxiv.org/abs/2509.26258 https://arxiv.org/pdf/2509.26258 https://arxiv.org/html/2509.26258

Joel Dyer, Daniel Jarne Ornia, Nicholas Bishop, Anisoara Calinescu, Michael Wooldridge: Sandbagging in a Simple Survival Bandit Problem https://arxiv.org/abs/2509.26239 https://arxiv.org/pdf/2509.26239 https://arxiv.org/html/2509.26239

Shigui Li, Wei Chen, Delu Zeng: EVODiff: Entropy-aware Variance Optimized Diffusion Inference https://arxiv.org/abs/2509.26096 https://arxiv.org/pdf/2509.26096 https://arxiv.org/html/2509.26096

Richard J. Samworth: Nonparametric inference under shape constraints: past, present and future https://arxiv.org/abs/2509.26040 https://arxiv.org/pdf/2509.26040 https://arxiv.org/html/2509.26040

Daniel Ebi, Gaspard Lambrechts, Damien Ernst, Klemens B\"ohm: Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access https://arxiv.org/abs/2509.26000 https://arxiv.org/pdf/2509.26000 https://arxiv.org/html/2509.26000

Jingqi Fan, Canzhe Zhao, Shuai Li, Siwei Wang: Decentralized Asynchronous Multi-player Bandits https://arxiv.org/abs/2509.25824 https://arxiv.org/pdf/2509.25824 https://arxiv.org/html/2509.25824

Shenao Zhang, Donghan Yu, Yihao Feng, Bowen Jin, Zhaoran Wang, John Peebles, Zirui Wang: Learning to Reason as Action Abstractions with Scalable Mid-Training RL https://arxiv.org/abs/2509.25810 https://arxiv.org/pdf/2509.25810 https://arxiv.org/html/2509.25810

Jianyu Xu, Vidhi Jain, Bryan Wilder, Aarti Singh: Online Decision Making with Generative Action Sets https://arxiv.org/abs/2509.25777 https://arxiv.org/pdf/2509.25777 https://arxiv.org/html/2509.25777

Tingyu Shi, Fan Lyu, Shaoliang Peng: Annotation-Efficient Active Test-Time Adaptation with Conformal Prediction https://arxiv.org/abs/2509.25692 https://arxiv.org/pdf/2509.25692 https://arxiv.org/html/2509.25692

Fangji Wang, Panagiotis Tsiotras: BaB-prob: Branch and Bound with Preactivation Splitting for Probabilistic Verification of Neural Networks https://arxiv.org/abs/2509.25647 https://arxiv.org/pdf/2509.25647 https://arxiv.org/html/2509.25647

Takashi Furuya, Maarten V. de Hoop, Matti Lassas: Transformers through the lens of support-preserving maps between measures https://arxiv.org/abs/2509.25611 https://arxiv.org/pdf/2509.25611 https://arxiv.org/html/2509.25611

Sean McGrath, Debarghya Mukherjee, Rajarshi Mukherjee, Zixiao Jolene Wang: Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics https://arxiv.org/abs/2509.25536 https://arxiv.org/pdf/2509.25536 https://arxiv.org/html/2509.25536

Yichi Zhang, Fangzheng Xie, Shu Yang, Chong Wu: Meta-Router: Bridging Gold-standard and Preference-based Evaluations in Large Language Model Routing https://arxiv.org/abs/2509.25535 https://arxiv.org/pdf/2509.25535 https://arxiv.org/html/2509.25535

Alireza Mousavi-Hosseini, Stephen Y. Zhang, Michal Klein, Marco Cuturi: Flow Matching with Semidiscrete Couplings https://arxiv.org/abs/2509.25519 https://arxiv.org/pdf/2509.25519 https://arxiv.org/html/2509.25519

Wouter M. Kouw, Tim N. Nisslbeck, Wouter L. N. Nuijten: Message passing-based inference in an autoregressive active inference agent https://arxiv.org/abs/2509.25482 https://arxiv.org/pdf/2509.25482 https://arxiv.org/html/2509.25482

Shuang Liang, Guido Mont\'ufar: Gradient Descent with Large Step Sizes: Chaos and Fractal Convergence Region https://arxiv.org/abs/2509.25351 https://arxiv.org/pdf/2509.25351 https://arxiv.org/html/2509.25351

Payal Mohapatra, Yueyuan Sui, Akash Pandey, Stephen Xia, Qi Zhu: MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series https://arxiv.org/abs/2509.25278 https://arxiv.org/pdf/2509.25278 https://arxiv.org/html/2509.25278

Yifang Zhang, Pengfei Duan, Henan Wang, Shengwu Xiong: How Effective Are Time-Series Models for Rainfall Nowcasting? A Comprehensive Benchmark for Rainfall Nowcasting Incorporating PWV Data https://arxiv.org/abs/2509.25263 https://arxiv.org/pdf/2509.25263 https://arxiv.org/html/2509.25263

Guillermo Comesa\~na Cimadevila: Evaluating Double Descent in Machine Learning: Insights from Tree-Based Models Applied to a Genomic Prediction Task https://arxiv.org/abs/2509.25216 https://arxiv.org/pdf/2509.25216 https://arxiv.org/html/2509.25216

Pierre Lotte (IRIT, IRIT-SIG, UT, UT3), Andr\'e P\'eninou (IRIT, IRIT-SIG, UT2J), Olivier Teste (IRIT-SIG, IRIT, UT2J, UT): Anomaly detection by partitioning of multi-variate time series https://arxiv.org/abs/2509.25215 https://arxiv.org/pdf/2509.25215 https://arxiv.org/html/2509.25215

Chanwoo Chun, Abdulkadir Canatar, SueYeon Chung, Daniel Lee: Estimating Dimensionality of Neural Representations from Finite Samples https://arxiv.org/abs/2509.26560 https://arxiv.org/pdf/2509.26560 https://arxiv.org/html/2509.26560

Mary I. Letey, Jacob A. Zavatone-Veth, Yue M. Lu, Cengiz Pehlevan: Pretrain-Test Task Alignment Governs Generalization in In-Context Learning https://arxiv.org/abs/2509.26551 https://arxiv.org/pdf/2509.26551 https://arxiv.org/html/2509.26551

Emil Javurek, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Dennis Frauen, Stefan Feuerriegel: An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes https://arxiv.org/abs/2509.26429 https://arxiv.org/pdf/2509.26429 https://arxiv.org/html/2509.26429

Cecilia Secchi, Giacomo Zanella: Spectral gap of Metropolis-within-Gibbs under log-concavity https://arxiv.org/abs/2509.26175 https://arxiv.org/pdf/2509.26175 https://arxiv.org/html/2509.26175

Damien Rouchouse, Antoine Gonon, R\'emi Gribonval, Benjamin Guedj: Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help? https://arxiv.org/abs/2509.26149 https://arxiv.org/pdf/2509.26149 https://arxiv.org/html/2509.26149

Zhang, Moss, Astfalck, Cripps, Leslie: BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields https://arxiv.org/abs/2509.26005 https://arxiv.org/pdf/2509.26005 https://arxiv.org/html/2509.26005

Yanan Zhao, Feng Ji, Xingchao Jian, Wee Peng Tay: Graph Distribution-valued Signals: A Wasserstein Space Perspective https://arxiv.org/abs/2509.25802 https://arxiv.org/pdf/2509.25802 https://arxiv.org/html/2509.25802

Anil Kamber, Rahul Parhi: Sharpness of Minima in Deep Matrix Factorization: Exact Expressions https://arxiv.org/abs/2509.25783 https://arxiv.org/pdf/2509.25783 https://arxiv.org/html/2509.25783

Kento Kuwataka, Taiji Suzuki: Test time training enhances in-context learning of nonlinear functions https://arxiv.org/abs/2509.25741 https://arxiv.org/pdf/2509.25741 https://arxiv.org/html/2509.25741

Xiaojie Wang, Bin Yang: When Langevin Monte Carlo Meets Randomization: Non-asymptotic Error Bounds beyond Log-Concavity and Gradient Lipschitzness https://arxiv.org/abs/2509.25630 https://arxiv.org/pdf/2509.25630 https://arxiv.org/html/2509.25630

Ruolin Meng, Ming-Yu Chung, Dhanajit Brahma, Ricardo Henao, Lawrence Carin: Coupling Generative Modeling and an Autoencoder with the Causal Bridge https://arxiv.org/abs/2509.25599 https://arxiv.org/pdf/2509.25599 https://arxiv.org/html/2509.25599

Yishu Wei, Wen-Yee Lee, George Ekow Quaye, Xiaogang Su: Conservative Decisions with Risk Scores https://arxiv.org/abs/2509.25588 https://arxiv.org/pdf/2509.25588 https://arxiv.org/html/2509.25588

Anirban Chatterjee, Sayantan Choudhury, Rohan Hore: One-shot Conditional Sampling: MMD meets Nearest Neighbors https://arxiv.org/abs/2509.25507 https://arxiv.org/pdf/2509.25507 https://arxiv.org/html/2509.25507

Kevin Jiang, Edgar Dobriban: Fair Classification by Direct Intervention on Operating Characteristics https://arxiv.org/abs/2509.25481 https://arxiv.org/pdf/2509.25481 https://arxiv.org/html/2509.25481

Vladimir Kondratyev, Alexander Fishkov, Nikita Kotelevskii, Mahmoud Hegazy, Remi Flamary, Maxim Panov, Eric Moulines: Neural Optimal Transport Meets Multivariate Conformal Prediction https://arxiv.org/abs/2509.25444 https://arxiv.org/pdf/2509.25444 https://arxiv.org/html/2509.25444

[2025-10-01 Wed (UTC), 15 new articles found for statML Machine Learning]

Peter Holderrieth, Uriel Singer, Tommi Jaakkola, Ricky T. Q. Chen, Yaron Lipman, Brian Karrer: GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models https://arxiv.org/abs/2509.25170 https://arxiv.org/pdf/2509.25170 https://arxiv.org/html/2509.25170

Nicholas Barnfield, Hugo Cui, Yue M. Lu: High-Dimensional Analysis of Single-Layer Attention for Sparse-Token Classification https://arxiv.org/abs/2509.25153 https://arxiv.org/pdf/2509.25153 https://arxiv.org/html/2509.25153

Daniil Dmitriev, Harald Eskelund Franck, Carolin Heinzler, Amartya Sanyal: Learning in an Echo Chamber: Online Learning with Replay Adversary https://arxiv.org/abs/2509.25135 https://arxiv.org/pdf/2509.25135 https://arxiv.org/html/2509.25135

Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi: A multiscale analysis of mean-field transformers in the moderate interaction regime https://arxiv.org/abs/2509.25040 https://arxiv.org/pdf/2509.25040 https://arxiv.org/html/2509.25040

Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel: Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation https://arxiv.org/abs/2509.24962 https://arxiv.org/pdf/2509.24962 https://arxiv.org/html/2509.24962

Defilippis, Xu, Girardin, Troiani, Erba, Zdeborov\'a, Loureiro, Krzakala: Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime https://arxiv.org/abs/2509.24882 https://arxiv.org/pdf/2509.24882 https://arxiv.org/html/2509.24882

Sahana Rayan, Yash Patel, Ambuj Tewari: A Greedy PDE Router for Blending Neural Operators and Classical Methods https://arxiv.org/abs/2509.24814 https://arxiv.org/pdf/2509.24814 https://arxiv.org/html/2509.24814

Zhijian Xu, Wanxu Cai, Xilin Dai, Zhaorong Deng, Qiang Xu: Fidel-TS: A High-Fidelity Benchmark for Multimodal Time Series Forecasting https://arxiv.org/abs/2509.24789 https://arxiv.org/pdf/2509.24789 https://arxiv.org/html/2509.24789

Alessandro Manenti, Cesare Alippi: Beyond Softmax: A Natural Parameterization for Categorical Random Variables https://arxiv.org/abs/2509.24728 https://arxiv.org/pdf/2509.24728 https://arxiv.org/html/2509.24728

Jaidev Goel, Pablo Moriano, Ramakrishnan Kannan, Yulia R. Gel: Community detection robustness of graph neural networks https://arxiv.org/abs/2509.24662 https://arxiv.org/pdf/2509.24662 https://arxiv.org/html/2509.24662