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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Zimmel, Hendriks, Holzleitner, Sestak, Weichselbaumer, Menkovski, Brandstetter: Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems arxiv.org/abs/2610.12449 arxiv.org/pdf/2610.12449 arxiv.org/html/2610.12449

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Oskar J. Hollinsworth, Alex F. Spies, Tigist Diriba, Adam Gleave, Chris Cundy: Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverbalized Deception arxiv.org/abs/2610.12445 arxiv.org/pdf/2610.12445 arxiv.org/html/2610.12445

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Li, Tang, Braithwaite, Dexter, Neves, Gupta, Udagawa, Shivanna, Silva, Ramanath: Rounding in Preconditioner Space: Redesigning 4-bit AdamW Optimizer-State Quantization arxiv.org/abs/2610.12444 arxiv.org/pdf/2610.12444 arxiv.org/html/2610.12444

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Nishanth Arun Rao, Royina Karegoudra Jayanth, Benjamin Eysenbach, Jaime Fern\'andez Fisac: A Unified Bellman Operator for Safety-Critical Reinforcement Learning arxiv.org/abs/2610.12420 arxiv.org/pdf/2610.12420 arxiv.org/html/2610.12420

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Guowen Li, Yang Liu, Yujie Wang, Qiuyan Sun, Haoyuan Liang, Juepeng Zheng, Hong Cheng, Haohuan Fu: Learning Kilometer-Scale Weather Prediction with Global-Regional Alignment arxiv.org/abs/2610.12401 arxiv.org/pdf/2610.12401 arxiv.org/html/2610.12401

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Sasha (Alexander), Monin: Prospective Prediction of OOD Degradation from Source-Side Training Dynamics arxiv.org/abs/2610.12397 arxiv.org/pdf/2610.12397 arxiv.org/html/2610.12397

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Ziming Dai, Dabiao Ma, Ziheng Guo, Jack Dong, Zimu Zhou: Long Text to Predictive Features: LLM-Guided Blockwise Feature Engineering via Executable Program Search arxiv.org/abs/2610.12390 arxiv.org/pdf/2610.12390 arxiv.org/html/2610.12390

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Prabhav Singh, Xiheng Tom Wang, Haojun Shi, Jason Eisner: Marformer: A Transformer for Predicting Missing Data Distributions arxiv.org/abs/2610.12379 arxiv.org/pdf/2610.12379 arxiv.org/html/2610.12379

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Joel-Pascal Ntwali N'konzi, Feliks N\"{u}ske, Stefan Klus: Bilevel optimization for data-driven learning of Koopman embeddings using kernel-based autoencoders arxiv.org/abs/2610.12370 arxiv.org/pdf/2610.12370 arxiv.org/html/2610.12370

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Mingyi Li, Taira Tsuchiya: Closing the Horizon Gap in Policy Optimization for Adversarial MDPs arxiv.org/abs/2610.12362 arxiv.org/pdf/2610.12362 arxiv.org/html/2610.12362

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Ruijin Hua, Zichuan Liu, Zhuokai Zhao, Yujia Zheng: SplitJEPA: Learning Invariant and Variant Latent Worlds without Reconstruction arxiv.org/abs/2610.12349 arxiv.org/pdf/2610.12349 arxiv.org/html/2610.12349

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Julian Kleutgens, Mauricio Tec, Claudio Battiloro, Francesca Dominici, Giannis Daras: Ambient Discrete Diffusion: Using the Wrong Data at the Right Time for Data Efficient Learning arxiv.org/abs/2610.12340 arxiv.org/pdf/2610.12340 arxiv.org/html/2610.12340

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Mingyi Li, Taira Tsuchiya, Kenji Yamanishi: Composite Online-to-Nonconvex Conversion with Optimal Oracle Complexity arxiv.org/abs/2610.12328 arxiv.org/pdf/2610.12328 arxiv.org/html/2610.12328

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Qitong Wang, Xinwei Niu, Mingluo Su, Shanwei Zhao, Shiai Zhu, Huan Wang: SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM Inference arxiv.org/abs/2610.12327 arxiv.org/pdf/2610.12327 arxiv.org/html/2610.12327

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Xinhua Miao, Bowei Yang, Zhengong Cai: AdaptLSTM: Efficient Adaptive Online Learning for Cloud Workload Forecasting under Distribution Drift arxiv.org/abs/2610.12265 arxiv.org/pdf/2610.12265 arxiv.org/html/2610.12265

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

David Leko, Luka Beni\'c, Guillermo Bern\'ardez, Nina Miolane, Olga Fink, Lev Telyatnikov: Batch Before You Lift: Scalable Topological Deep Learning on Large Graphs arxiv.org/abs/2610.12247 arxiv.org/pdf/2610.12247 arxiv.org/html/2610.12247

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Mark Daniel Szalai, Gabor Horvath: RIFT: Relative Isolation From Trees For Anomaly Detection arxiv.org/abs/2610.12244 arxiv.org/pdf/2610.12244 arxiv.org/html/2610.12244

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Darahaas Nallagatla, Darryl Cherian Jacob, Pan He: AdaCast: Conditional Parameter Generation for Adaptive Time Series Forecasting arxiv.org/abs/2610.12240 arxiv.org/pdf/2610.12240 arxiv.org/html/2610.12240

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Mohamed Readh Fentazi, Mazene Ameur, Adlen Ksentini: Training on the Future: A Delay-Aware Audit of Test-Time Adaptation for Time-Series Forecasting arxiv.org/abs/2610.12232 arxiv.org/pdf/2610.12232 arxiv.org/html/2610.12232

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Hazar Yueksel: Verification with Transfer: Exact Information Frontiers and Their Price in Calls arxiv.org/abs/2610.12211 arxiv.org/pdf/2610.12211 arxiv.org/html/2610.12211

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Yudi Zhang, Mingyu Cao, Lu Yin, Mykola Pechenizkiy, Shiwei Liu: DataSense-Bench: The First Step Toward an AI Scientist arxiv.org/abs/2610.12190 arxiv.org/pdf/2610.12190 arxiv.org/html/2610.12190

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Jannik Wiese, Johannes Schusterbauer, Tommaso Martorella, Bj\"orn Ommer: Just Weather Scoring: Efficient End-to-end Nowcasting with Distributional Diffusion arxiv.org/abs/2610.12189 arxiv.org/pdf/2610.12189 arxiv.org/html/2610.12189

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Chen, Tan, Xue, Zhou, Lu, Gao, Xie, Shen, Lu, Shang, Qian: A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box Optimization arxiv.org/abs/2610.12183 arxiv.org/pdf/2610.12183 arxiv.org/html/2610.12183

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Yujing Liu, Yixin Liu, Yue Tan, Xiaofeng Cao, Alan Wee-Chung Liew, Heng Tao Shen, Shirui Pan: Is Real-World Training Data Necessary for Generalist Graph Anomaly Detection? arxiv.org/abs/2610.12167 arxiv.org/pdf/2610.12167 arxiv.org/html/2610.12167

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Ahmet T\"uzen, Helge Langseth, Kjetil N{\o}rv{\aa}g: Scalable Hierarchical Graph Generation via Soft Community Structure arxiv.org/abs/2610.12163 arxiv.org/pdf/2610.12163 arxiv.org/html/2610.12163

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Qian Zuo, Francesco Emanuele Stradi: Toward Optimal Regret in Adversarial MDPs with Stochastic Hard Constraints arxiv.org/abs/2610.12153 arxiv.org/pdf/2610.12153 arxiv.org/html/2610.12153

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Gabriel Diaz-Aylwin, Vignesh Gopakumar, Omkar Myatra, David Moulton, Lorenzo Zanisi, David S. Leslie, Henry B. Moss: Bayesian Optimisation under State-Preservation Constraints arxiv.org/abs/2610.12150 arxiv.org/pdf/2610.12150 arxiv.org/html/2610.12150

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Jack Waller, Xing Liang, Dimitrios Makris, Rajagopal Nilavalan: Large-Scale Benchmarking of Quantum Neural Network Configurations for Financial Time Series Forecasting arxiv.org/abs/2610.12148 arxiv.org/pdf/2610.12148 arxiv.org/html/2610.12148

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Alessio Pellegrino, Jacopo Mauro: Using Weisfeiler-Leman Features for Algorithm Selection in Constraint Optimisation arxiv.org/abs/2610.12119 arxiv.org/pdf/2610.12119 arxiv.org/html/2610.12119

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Timo L\"ohr, Paul Hofman, Maximilian Muschalik, Eyke H\"ullermeier: Credal Machine Learning for Risk-Averse Decision Making arxiv.org/abs/2610.12115 arxiv.org/pdf/2610.12115 arxiv.org/html/2610.12115

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Panagiotis Roditis, Panagiotis P. Filntisis, Petros Maragos: A Geometric Approach to Soft Actor-Critic with Zonotopes for Locomotion Learning arxiv.org/abs/2610.12113 arxiv.org/pdf/2610.12113 arxiv.org/html/2610.12113

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Shanchuan Lin, Yansong Peng, Fu-Yun Wang, Haoqi Fan: Few-Step Generation via Data-Space Iteration arxiv.org/abs/2610.12102 arxiv.org/pdf/2610.12102 arxiv.org/html/2610.12102

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Christopher B\"ulte, Emil Partow, Astha Gupta, Pascal Esser, Gitta Kutyniok: SCORE: Spectral Correlation Estimation for Multivariate Gaussians arxiv.org/abs/2610.12096 arxiv.org/pdf/2610.12096 arxiv.org/html/2610.12096

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

\v{S}imon Sold\'at, V\'aclav \v{S}m\'idl: Exploiting Gradients in Bayesian Inference of Expensive Simulators arxiv.org/abs/2610.12076 arxiv.org/pdf/2610.12076 arxiv.org/html/2610.12076

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Mahtab Sarvmaili: MPGE: A Multi-Perspective Graph Explainer for Molecular Classification Explanation arxiv.org/abs/2610.12039 arxiv.org/pdf/2610.12039 arxiv.org/html/2610.12039

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Prince Jha, Nils Lukas, Kun Zhang, Salem Lahlou: CausalDreamer: Learning Predictive World Models with Latent Disentanglement arxiv.org/abs/2610.12016 arxiv.org/pdf/2610.12016 arxiv.org/html/2610.12016

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Ning, Bilo\v{s}, Wilson, Zhang, Rasul, Song, Schneider, Nevmyvaka: Test-Time Compute for Tabular Foundation Models: Mechanisms, Gains, and Limits arxiv.org/abs/2610.12005 arxiv.org/pdf/2610.12005 arxiv.org/html/2610.12005

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

A. Emilie J. Wedenborg, Anders V. N{\o}rskov, Teresa Dorszewski, Kristoffer Wickstr{\o}m, Morten M{\o}rup: The Polytopal Neural Network arxiv.org/abs/2610.12004 arxiv.org/pdf/2610.12004 arxiv.org/html/2610.12004

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Jiahao Lu, Mohan Kankanhalli: Agentic-TTT: Training test-time policy for test-time training arxiv.org/abs/2610.12002 arxiv.org/pdf/2610.12002 arxiv.org/html/2610.12002

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Gabriel Diaz-Aylwin, Joseph Neighbor, Abiel Malkani Talwar, Rui-Yang Zhang, Henry B. Moss: Example-driven Parametrisations for Bayesian Shape Optimisation arxiv.org/abs/2610.11984 arxiv.org/pdf/2610.11984 arxiv.org/html/2610.11984

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Meihui Zhong, Wenxin Tai, Ting Zhong, Fan Zhou: Stochastic Grouping Conformal Prediction for Effective Subgroup Reliability arxiv.org/abs/2610.11957 arxiv.org/pdf/2610.11957 arxiv.org/html/2610.11957

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Chenrui Zhu, Vu-Linh Nguyen, Marie-H\'el\`ene Masson, S\'ebastien Destercke: Interval-valued SHAP in Tree-Based Models arxiv.org/abs/2610.11953 arxiv.org/pdf/2610.11953 arxiv.org/html/2610.11953

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Chaitanya Jobanputra, Sebastian Vollmer, Gerrit Gro{\ss}mann: Puffin: Probabilistic Learning of Spatial Detail From Coarse Observations arxiv.org/abs/2610.11914 arxiv.org/pdf/2610.11914 arxiv.org/html/2610.11914

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Dsouza, Khan, Mishra, Khan, Nair, Behera: Automated Assembly Instruction Generation from CAD Models Using Grounded Large Language Models: A Human-in-the-Loop Framework arxiv.org/abs/2610.11896 arxiv.org/pdf/2610.11896 arxiv.org/html/2610.11896

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Itsushi Sakata, Yuta Miyauchi, Yoshinobu Kawahara: Understanding Latent-Dimension Scaling in Dynamical-System Learning through Spectral Reliability arxiv.org/abs/2610.11866 arxiv.org/pdf/2610.11866 arxiv.org/html/2610.11866

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Deng, Yan, Liu, Nie, Wang, Wang, Zhang, Jiang, Xiao, Zhang, Zhang: GRPODropout: Less is More for Online Reinforcement Learning Rollouts arxiv.org/abs/2610.11854 arxiv.org/pdf/2610.11854 arxiv.org/html/2610.11854

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Bhushan Deshpande: DADP: Dynamic Activity-Dependent Pruning, A Reverse Hebbian-Inspired Structural Pruning Method arxiv.org/abs/2610.11853 arxiv.org/pdf/2610.11853 arxiv.org/html/2610.11853

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Jing Ma, Yujia Wu, Zhaoqiang Liu: Recovery Guarantees for Posterior Sampling of One-Bit Compressed Sensing arxiv.org/abs/2610.11834 arxiv.org/pdf/2610.11834 arxiv.org/html/2610.11834

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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 17h

Chinmayi, Nassib, Harrison, Celine, Vanessa, Romuald, Guillaume: Self-Supervised Speech Representations for Cross-Speaker Dysarthria Detection During Awake Craniotomy arxiv.org/abs/2610.11825 arxiv.org/pdf/2610.11825 arxiv.org/html/2610.11825

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