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  1. Diffusion Model-Based Posterior Sampling in Full Waveform Inversion
    2025/12/14 by Taufik, Mohammad H., Alkhalifah, Tariq · 1 citation
    #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (stat.ML)
  2. Optimal and Diffusion Transports in Machine Learning
    2025/12/07 by Peyré, Gabriel · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  3. Over-the-Air Semantic Alignment with Stacked Intelligent Metasurfaces
    2025/12/05 by Mario Edoardo Pandolfo, Kyriakos Stylianopoulos, Pandolfo, Mario Edoardo +5 · 2 citations
    Computer Science · Engineering · #Advanced Wireless Communication Technologies #FOS: Computer and information sciences #FOS: Electrical engineering #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #Wireless Signal Modulation Classification #electronic engineering #information engineering
  4. CrowdLLM: Building LLM-Based Digital Populations Augmented with Generative Models
    2025/12/02 by Lin, Ryan Feng, Tian, Keyu, Zheng, Hanming +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Multiagent Systems (cs.MA)
  5. Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
    2025/11/28 by Alessio Borgi, Borgi, Alessio, Fabrizio Silvestri +3 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks Stability and Synchronization
  6. How to Correctly Report LLM-as-a-Judge Evaluations
    2025/11/26 by Chungpa Lee, C.H. Lee, Thomas Zeng +8 · 3 voices · 2 citations
    Computer Science · Mathematics · #Applications (stat.AP) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Sentiment Analysis and Opinion Mining #Topic Modeling #cs.CL #cs.LG #stat.AP #stat.ML
  7. Conformal Prediction for Compositional Data
    2025/11/22 by Lucas P. Amaral, Luben M. C. Cabezas, Amaral, Lucas P. +5 · 1 voice
    Computer Science · Economics, Econometrics and Finance · Mathematics · #Economic and Technological Innovation #FOS: Computer and information sciences #Geochemistry and Geologic Mapping #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Spatial and Panel Data Analysis #cs.LG #stat.ML
  8. Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch
    2025/11/21 by Zhang, Ziyang, Ding, Xinheng, Yuan, Jiayi +4 · 1 citation
    Computer Science · Materials Science · Mathematics · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Tensor decomposition and applications #Topic Modeling
  9. Efficient Penalty-Based Bilevel Methods: Improved Analysis, Novel Updates, and Flatness Condition
    2025/11/20 by Jiang, Liuyuan, Xiao, Quan, Chen, Lisha +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  10. Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression
    2025/11/17 by Yan, Tingkai, Wen, Haodong, Li, Binghui +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. Finding Time Series Anomalies using Granular-ball Vector Data Description
    2025/11/15 by Lifeng Shen, Liang Peng, Shen, Lifeng +7 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
  12. Language Generation with Infinite Contamination
    2025/11/10 by Mehrotra, Anay, Velegkas, Grigoris, Yu, Xifan +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation
    2025/10/29 by Gan, Feichen, Lu, Youcun, Zhang, Yingying +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting
    2025/10/29 by Moroshan, Vladyslav, Siems, Julien, Zela, Arber +2 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. TabMGP: Martingale Posterior with TabPFN
    2025/10/29 by Ng, Kenyon, Fong, Edwin, Frazier, David T. +2 · 1 citation
    #62F15 #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
  16. Shift is Good: Mismatched Data Mixing Improves Test Performance
    2025/10/29 by Medvedev, Marko, Lyu, Kaifeng, Li, Zhiyuan +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. The Benchmarking Epistemology: Construct Validity for Evaluating Machine Learning Models
    2025/10/27 by Freiesleben, Timo, Zezulka, Sebastian · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. How Muon's Spectral Design Benefits Generalization: A Study on Imbalanced Data
    2025/10/27 by Vasudeva, Bhavya, Deora, Puneesh, Zhao, Yize +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. CANDI: Hybrid Discrete-Continuous Diffusion Models
    2025/10/26 by Pynadath, Patrick, Shi, Jiaxin, Zhang, Ruqi · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing
    2025/10/24 by Gloy, Johann Flemming, Olsson, Simon · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  21. On the Structure of Stationary Solutions to McKean-Vlasov Equations with Applications to Noisy Transformers
    2025/10/23 by Krishnakumar Balasubramanian, Sayan Banerjee, Balasubramanian, Krishnakumar +3 · 3 citations
    Engineering · Environmental Science · Physics and Astronomy · #34K18 #35B27 #35Q70 #35Q83 #60H50 #82C22 #Analysis of PDEs (math.AP) #Artificial Intelligence (cs.AI) #Ecosystem dynamics and resilience #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR) #Statistical Mechanics and Entropy #Thermoelastic and Magnetoelastic Phenomena
  22. The Reality Gap in Robotics: Challenges, Solutions, and Best Practices
    2025/10/23 by Elie Aljalbout, Aljalbout, Elie, Jiaxu Xing +21 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Human Motion and Animation #I.2.6 #I.2.8 #I.2.9 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  23. MARS-M: When Variance Reduction Meets Matrices
    2025/10/20 by Liu, Yifeng, Yuan, Angela, Gu, Quanquan · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  24. Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
    2025/10/18 by Zhu, Yuqicheng, Wu, Jingcheng, Wang, Yizhen +4 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  25. Chronos-2: From Univariate to Universal Forecasting
    2025/10/17 by Ansari, Abdul Fatir, Shchur, Oleksandr, Küken, Jaris +20 · 10 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. A Simple Method for PMF Estimation on Large Supports
    2025/10/16 by Alex Shtoff, Shtoff, Alex · 1 voice
    Computer Science · Mathematics · #Advanced Graph Neural Networks #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #cs.LG #stat.ML
  27. DiffOPF: Diffusion Solver for Optimal Power Flow
    2025/10/15 by Hoseinpour, Milad, Dvorkin, Vladimir · 1 citation
    #Artificial Intelligence (cs.AI) #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (stat.ML) #Systems and Control (eess.SY) #electronic engineering #information engineering
  28. Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
    2025/10/13 by Xia, Ji, Zhang, Yizi, Wang, Shuqi +4 · 2 citations
    #Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)
  29. In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning
    2025/10/13 by Wakayama, Tomoya, Suzuki, Taiji · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  30. Transferable Generative Models Bridge Femtosecond to Nanosecond Time-Step Molecular Dynamics
    2025/10/08 by Juan Viguera Diez, Mathias Schreiner, Diez, Juan Viguera +3 · 1 voice · 4 citations
    Mathematics · Physics and Astronomy · #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #physics.chem-ph #stat.ML

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