Stochastic Processes

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1 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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StochasticStochastic Differential EquationsStochastic DynamicsFokker--Planck Equation

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Stochastic Processes.

20 papers

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

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

  2. 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

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

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

  4. Robust Control under Stationary Ambiguity

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

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

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

  6. Interpreting Quantum Learning Models via Stochastic Processes

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

  7. A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing

    Jul 17, 2026Owen Lockwood, Jérémy Béjanin, Joost Bus +4ThermodynamicsSingle-Inference Workloads

  8. A Semiparametric Framework for Stochastic Fundamental Diagram Modeling

    Jul 17, 2026Pengnan Chi, Xiaoliang Ma, Magnus Jansson +1Stochastic ProcessesConditional Distribution

  9. NeuralChaos: Optimal Adapted Approximation of Square Integrable Predictable Processes

    Jul 15, 2026Anastasis Kratsios, Giulia Livieri, Philipp SchmockerNeural-Network ApproximationStochastic Processes

  10. LatentFlow: A General Framework for Conditioning Stochastic Processes

    Jul 14, 2026Louis Sharrock, Lachlan Astfalck, Henry MossStochastic ProcessesLatentflow

  11. Graphical conditional generative modeling for digital twin modeling

    Jun 15, 2026Zongren Zou, Théo Bourdais, Ricardo Baptista +1Digital TwinsSurrogate Modeling

  12. From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments

    Jun 2, 2026Saket Tiwari, Tejas Kotwal, George KonidarisSoft Actor-CriticSafe Reinforcement Learning

  13. Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy

    May 28, 2026Moyi Tian, Daniel A. Messenger, Vanja Dukic +2System IdentificationComplex Networks

  14. Estimated Dynamic Equilibrium Model: Supply and Demand as a Sample Path of a Stochastic Process

    May 14, 2026Mikhail L. Arbuzov, Sisong Bei, Alexey ShvetsEquilibriumStochastic Processes

  15. Keeping Score: Efficiency Improvements in Neural Likelihood Surrogate Training via Score-Augmented Loss Functions

    May 12, 2026Alexander Shen, Mikael KuuselaBayesian Inference ApproachesSurrogates

  16. Unifying Deep Stochastic Processes for Image Enhancement

    May 2, 2026Wojciech Kozłowski, Radosław Kuczbański, Kamil Adamczewski +2Image EnhancementStochastic Processes

  17. ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space

    Apr 30, 2026Gabe Guo, Thanawat Sornwanee, Lutong Hao +3Stochastic ProcessesAutoregressive Model

  18. Autocorrelation effects in a stochastic-process model for solving two-armed bandit problems

    Mar 5, 2026Tomoki Yamagami, Mikio Hasegawa, Takatomo Mihana +2Generalized Linear BanditStochastic Processes

  19. A Jump-Diffusion Framework for Irregular Time Series Generation

    May 29, 2025O. Pfohl, J. Chemseddine, P. Hagemann +3Synthetic Time SeriesStochastic Processes

  20. Spectral Diffusion Processes

    Sep 28, 2022Angus Phillips, Thomas Seror, Michael Hutchinson +3Stochastic ProcessesDiffusion Models