Stochastic

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  1. A Splitting Method for SDE Terminal-Law Estimation

    Sep 14, 2026Rushil Gupta, Sandeep JunejaStochastic Differential Equations

  2. Particle GFlowNets: Rethinking Generative Marginalization Models

    Sep 11, 2026Tiago da Silva, Diego Mesquita, Salem LahlouGenerative Flow NetworksGibbs Measures

  3. Deep operator learning for efficient sampling from invariant measures of stochastic differential equations

    Sep 10, 2026Ling Guo, Lei Li, Jingtong ZhangSamplersStochastic Differential Equations

  4. Oracle Complexity of Stochastic Fixed-Point Equations with Nonexpansive Maps

    Sep 8, 2026Jelena Diakonikolas, Cristóbal Guzmán, David Martínez-RubioFixed-Point IterationOptimal Sample Complexity

  5. StochBench: A Domain-Specific Benchmark for Stochastic Processes in Lean

    Sep 8, 2026Idan Davidovich, Debargha Ganguly, Vikash Singh +1TheoremAI Benchmarks

  6. Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning

    Sep 8, 2026Mar Gonzàlez I Català, Haitz Sáez de Ocáriz Borde, Davide Murari +3LLM Reasoning MethodsStochastic Dynamics

  7. Closed-Form of the Local Galactic Potential and Stellar Distribution Function from Gaia DR3

    Sep 8, 2026Indranil Das, Adam Kamoski, Dora Demiri +3CosmologyFokker--Planck Equation

  8. PAC-Bayesian Bounds for Learning Partially Observed Stochastic Linear Time-Invariant State-Space Systems with Inputs and Sub-Gaussian Noise

    Sep 8, 2026Mihaly Petreczky, Mohamad Al Ahdab, John LethSystem IdentificationStochastic Dynamics

  9. AlphaRJM: Reward-Jump Memory for Stochastic Return-Guided Alpha Discovery

    Sep 8, 2026Sayan Dhan, Selvaraju NatarajanReward LearningSoft Actor-Critic

  10. The Exact Time-Uniform Rate Frontier for Stochastic Gradient Descent on Smooth Convex Objectives

    Sep 8, 2026Ruijie Li, Kang Chen, Tianyu WangStochastic Gradient DescentOptimization Convergence Analysis

  11. How to Make the Gradient Mapping Small for Constrained Stochastic Min-Max Problems and Beyond

    Sep 8, 2026Ahmet AlacaogluConvex OptimizationStochastic Optimization

  12. Correlated initialization of deep residual networks

    Sep 3, 2026Felix Benning, Ivan Nourdin, Giovanni PeccatiResidual ConnectionsStochastic Differential Equations

  13. Births are difficult to predict even with rich survey and full-population register data

    Sep 1, 2026Elizaveta Sivak, Emily M. Cantrell, Thomas Emery +109PopulationsSurvey

  14. BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning

    Aug 31, 2026Dongsheng Hou, Yanqiao Chen, Yuhan RuiConditional-Value-At-RiskProximal Policy Optimization

  15. AutoCRAT: Within-trajectory Joint Control of Stochasticity and Compute for LLM Reasoning

    Aug 30, 2026Hanjun Luo, Qiushi Liu, Jingya Zhang +8LLM Reasoning MethodsAutoregressive Language Models

  16. Sequence prediction under a lying oracle

    Aug 14, 2026Puspabeethi Samanta, Nikhil Karamchandani, Jayakrishnan NairSequence ModelingSequential Decision Making

  17. DARTree: Speculative Diffusion Decoding with Autoregressive Draft Trees

    Aug 13, 2026Tianyi Li, Yaxin Luo, Xinyi Shang +1Speculative DecodingAutoregressive Language Models

  18. On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective

    Aug 13, 2026Nestor R. Barraza, Gabriel PenaMachine LearningFundamental Limits

  19. Unifying Generative Models with Path Integrals

    Aug 12, 2026Ramon WinterhalderFeynman Physics BenchmarksGenerative Models

  20. The Advective Fisher-Rao Geometry of Deterministic Measure Transport

    Aug 12, 2026Benjamin Gess, Johannes MüllerOptimal TransportFisher Information

  21. Clustered Randomized Smoothing for Stochastic Prediction Functions

    Aug 12, 2026Eduardo Figueiredo, Frederik Mathiesen, Julian Schumann +3SmoothingStochastic

  22. Stream Forcing: Constructing Unified Training Trajectory for Robust Streaming Video Generation

    Aug 11, 2026Yueting Zhu, Yuehao Song, Kaicheng Zhang +5Video Diffusion ModelsTraining-Inference Mismatch

  23. Generator-Guided Inverse Sampling for Lévy-Driven Generative Models

    Aug 11, 2026Tianfu Qi, Jun Wang, Jun ZhangStochastic Differential EquationsInverse Problem

  24. Stochastic Emulation of a Fully Coupled Preindustrial E3SMv3 Simulation

    Aug 10, 2026Elynn Wu, James P. C. Duncan, Troy Arcomano +11Global Climate ModelsNeural Network Emulator

  25. Walk-on-Spheres Monte Carlo and deep neural network approximations of elliptic PDEs with drift and killing

    Aug 10, 2026Konrad Kleinberg, Thomas KruseNeural-Network ApproximationStochastic Differential Equations

  26. Stochastic Physics-Informed Neural Networks on Lie Groups for Learning Underwater Vehicle Dynamics

    Aug 8, 2026Evan F. Palmer, Ross L. Hatton, Geoffrey A. HollingerAutonomous Underwater VehiclesFluid Dynamics

  27. Learning under Opponent Unawareness in Linear-Quadratic Stochastic Games

    Aug 8, 2026Dantong Chu, Xuefeng Gao, Yufei ZhangZero--Sum Differential GameNash Equilibria

  28. Predicting blood clot growth from sparse post-onset measurements with latent neural differential equations

    Aug 8, 2026Lennon J. Shikhman, Ying Qian, He LiUterineNeural Ordinary Differential Equations

  29. A cylindrical neural approximation theorem for conditional laws of McKean-Vlasov equations with common noise

    Aug 8, 2026Nacira Agram, Reda Hmioui, Jan RemsNeural-Network ApproximationFokker--Planck Equation

  30. International Transfer of Stochastic Cortical Self-Reconstruction

    Aug 7, 2026Fabian Bongratz, Zhizheng Zhuo, Chao Zhang +3Neuroimaging ModelsHuman Visual Cortex

  31. Stochastic gradient descent with discontinuity across a manifold

    Aug 7, 2026Vivek S. BorkarStochastic Gradient DescentManifolds

  32. Stochastic Dynamics on Persistence Diagram Space via Reinforcement Learning

    Aug 6, 2026Farzana NasrinPersistent HomologyStochastic Dynamics

  33. Explicit and Stable Pseudospectral Time-Domain Method for the Föppl-von Kármán Equations

    Aug 6, 2026Victor Zheleznov, Stefan BilbaoFinite Element MethodFokker--Planck Equation

  34. Stochasticity Is Not the Hard Part: Reduction and Complexity in Instructional Sequencing over Prerequisite DAGs

    Aug 5, 2026Zonglin Han, Yichen Chen, Jiawen Jiang +2Directed Acyclic GraphShortest Paths

  35. Robust Control under Stationary Ambiguity

    Aug 5, 2026Konrad J. Mueller, Amira Akkari, Ben Wood +1Stochastic Optimal ControlRobust Control

  36. A Hyperfinite Framework for Score-Based Generative Modeling

    Aug 3, 2026Sunder Ram KrishnanScore-Based Diffusion ModelStochastic Differential Equations

  37. Beckmann Transport Models: From Autonomous Flows to One-Step Maps

    Aug 3, 2026Lee Cheuk-Kit, Florentin Coeurdoux, Yuyuan Chen +5Generative Flow NetworksVelocity Field

  38. Thermalizing Stochastic Programs

    Aug 3, 2026Mirko Amico, Andraž Jelinčič, Colin Oscar Nancarrow +6StochasticThermodynamics

  39. LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems

    Aug 3, 2026Shida Liu, Abhishek Gupta, Sumit Sinha +1Stochastic DynamicsSymmetry

  40. Amortizing the Calibration Triple: A Projection-Consistent Neural Operator for Local-Stochastic Volatility

    Aug 2, 2026Xiaozhen Wang, Anaïs Després, Martin Dureau +1VolatilityStochastic Differential Equations

  41. StochSIPP: Safe Interval Path Planning in Stochastic Dynamic Environments

    Aug 1, 2026Ajith Kemisetti, Shahaf S. Shperberg, Yoonchang SungEfficient Path PlanningFinite-Horizon Episodic Markov Decision Processes

  42. CN101 - A Digital Thermodynamic Computer for Generative AI

    Aug 1, 2026Lars Holdijk, Denis Melanson, Zier Mensch +14ThermodynamicsGenerative Artificial Intelligence

  43. Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models

    Aug 1, 2026Yibin Dong\Emph{State-Prediction Separation HypothesisClosure

  44. Convergence and Regret of the Policy Gradient for Multi-Armed Bandits in Diffusion Environment

    Jul 31, 2026Yanwei Jia, Du OuyangPolicy GradientOptimal Policies

  45. Reflected diffusion, no-flux continuity equations and confined Lagrangian flows in bounded domains

    Jul 30, 2026Rama ContFokker--Planck Equation

  46. Persistent Gaussian Perturbations Prevent Oversmoothing in Recurrent Graph Neural Networks

    Jul 30, 2026Mostafa Haghir ChehreghaniGraph Neural NetworksRecurrent Neural Networks

  47. Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework

    Jul 30, 2026Tianen Shen, Zhengyu Li, Yutong Li +4Time Series ForecastingTime Series

  48. Error Analysis of Neural-Network-Based Engression

    Jul 30, 2026Juntong Chen, Zijian Guo, Xinwei ShenNeural-Network ApproximationEqual Error Rate

  49. The Kinetics of Training: A Driven-Nucleation Rate Law for Emergence, Plasticity Loss, and Circuit Control in Language Models

    Jul 29, 2026Lei DongTrainable ParameterCircuits

  50. Stochastic Counterdiabatic Driving via Biorthogonal Liouvillian Eigenmodes

    Jul 27, 2026Sandeep Suresh Cranganore, Sebastian Lehner, Johannes Brandstetter +1Thermal DynamicsFokker--Planck Equation

  51. Teacher Knows It Best: Spontaneous Symmetry Breaking and Tipping Points in Networked Langevin Dynamics AI Sycophancy

    Jul 27, 2026Sayantari Ghosh, Saumik Bhattacharya, Partha Pratim ChakrabartiComplex NetworksSocial Dynamics

  52. Image Inpainting via Stochastic Dynamics

    Jul 27, 2026Jiaqi Kuang, Zihao Guo, Zhongmin QianContext-Conditioned InpaintingDiverse Occlusion-And-Revelation Scenarios

  53. A Coulomb Particle Model for Learning Kernel Attention in Transformers

    Jul 26, 2026Masoud Badiei Khuzani, Sharath Honnaiah, Atiq Islam +2Feature LearningTransformer Attention

  54. Learning Ergodic Dynamical Systems from a Finite Trajectory

    Jul 24, 2026Oleksii Kachaiev, Silvia Villa, Lorenzo RosascoStochastic DynamicsOptimal Learner

  55. On the Convergence of Stochastic Low-Rank Adaptation

    Jul 24, 2026Ru Wang, Chengchang Liu, John C. S. LuiRank-Gated Low-Rank AdaptationVariance Reduction

  56. Stochastic Multi-Objective Kinodynamic Planning Against Adversaries

    Jul 21, 2026Thomas Marshall Vielmetti, Daniel Cherenson, Dimitra PanagouFinite-Horizon Episodic Markov Decision ProcessesStochastic

  57. Neural Kolmogorov Equations: Parallelizable Learning of Stochastic Dynamics under General Noise

    Jul 21, 2026Arthur Bizzi, Olga FinkStochastic Differential EquationsStochastic Dynamics

  58. Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics

    Jul 20, 2026Vignesh Tirukkonda, Gautam DasarathyGaussian Mixture Models3D Gaussian Splatting

  59. Interpreting Quantum Learning Models via Stochastic Processes

    Jul 19, 2026Johannes Fankhauser, Lukas J. Fiderer, Hans J. BriegelQuantum LearningStochastic Processes

  60. DynImmune-BERT: Dynamic Immune Repertoire Modeling with Neural ODE Driven Continuous Transformers

    Jul 19, 2026Rong Fu, Yongtai Liu, Xiaowen Ma +5Antimicrobial PeptideBert Models