Stochastic Dynamics

Momentum

6 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 36

All topics
CardsList
  1. Delay-coordinate reconstruction and conditional-moment causal diagnostics in stochastic systems

    Oct 4, 2026Jun OhkuboStochastic Dynamics

  2. Generative Modeling of Stochastic Dynamics for Long-Time Evolution

    Sep 30, 2026Yang-yang Tan, Jinyang Li, Lingxiao WangStochastic DynamicsStatistical Physics

  3. Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance

    Sep 29, 2026Fabian A. Mikulasch, Friedemann ZenkeLatent PredictionIdentifiability

  4. Accelerated surrogate dynamics for dynamical, stochastic system evolution

    Sep 29, 2026Marco Jochum, Ioannis Kouroudis, Gohar Ali Siddiqui +3Stochastic DynamicsLatent Dynamics

  5. 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 StrategiesSingle Trajectory

  6. Stochastic Dynamics on Persistence Diagram Space via Reinforcement Learning

    Aug 6, 2026Farzana NasrinPersistent HomologyStochastic Dynamics

  7. CN101 - A Digital Thermodynamic Computer for Generative AI

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

  8. Image Inpainting via Stochastic Dynamics

    Jul 27, 2026Jiaqi Kuang, Zihao Guo, Zhongmin QianInpaintingDiverse Occlusion-And-Revelation Scenarios

  9. Non-parametric recovery of causal diffusion mechanisms from steady-state observations

    Jun 29, 2026Richard Schwank, Mathias DrtonCausal Discovery MethodsCausal Graph

  10. Analyzing Uncertainty in the Spatial Representation of the Kinematic Bicycle Model

    Jun 28, 2026Shafayat Abrar, M. Zaeem Baig, Shahir Ul Islam Anzal +1OdometryCovariance

  11. Analysis of Adam Algorithms for Stochastic Dynamic Systems

    Jun 27, 2026Xin Zheng, Yifei Jin, Lei GuoAdamStochastic Dynamics

  12. An Open-Source LFSR-Based Stochastic Leaky Integrate-and-Fire Neuron in SkyWater 130 nm: Design, Stochastic Characterisation, and Rate Coding

    Jun 22, 2026Poornima Kumaresan, Santhosh SivasubramaniLfsr-Based Stochastic Leaky Integrate-And-Fire NeuronNeuromorphic Computing

  13. pdSTL: Probabilistic Differentiable Signal Temporal Logic for Stochastic Systems

    Jun 17, 2026Bennett Dogbey, Hemanth ManjunathaSignal Temporal LogicProbabilistic Safety

  14. Finite-Time Queue Peak Laws in Stochastic Networks: Logarithmic Scaling After Geometric Thresholds

    Jun 16, 2026Hao Liang, Cheng Tang, Yunzong XuQueue ControlSchedulers

  15. Escape from Delusional Echo Trap: Symmetry Breaking, Stochastic Dynamics and Mathematical Mitigation Strategies for Algorithmic Sycophancy

    Jun 16, 2026Sayantari Ghosh, Saumik Bhattacharya, Partha Pratim ChakrabartiSycophancyDeception

  16. First-Order Trajectory Matching: Fast Ensemble Predictions of Chaotic, Turbulent, Stochastic Systems

    Jun 9, 2026Shreya Jha, Timo Schorlepp, Nicholas Geissler +2Stochastic DynamicsSingle Trajectory

  17. FreeBridge: Variational Schrödinger Bridges for Cellular Transition Dynamics

    Jun 9, 2026Xurui Wang, Qin Ren, Jun Ma +2Schrödinger BridgesBridge

  18. Operator learning for solving Fokker-Planck equations with various initial conditions

    Jun 8, 2026Li Zeng, Xiaoliang Wan, Yaobin Wang +2Fokker--Planck EquationParametric Physics-Informed Neural Network

  19. Capturing non-Markovian dynamics in non-equilibrium stochastic systems using flow matching

    Jun 4, 2026Bhargav Sriram Siddani, John B. Bell, Alejandro L. Garcia +1Stochastic DynamicsStochastic Differential Equations

  20. Stochastic Lifting for Generating Trajectories of Stochastic Physical Systems

    May 28, 2026Jules Berman, Tobias Blickhan, Benjamin PeherstorferStochastic DynamicsStochastic

  21. Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems

    May 24, 2026Jules Berman, Tobias Blickhan, Benjamin PeherstorferWasserstein Gradient FlowsVector Fields

  22. Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics

    May 21, 2026Igor Ignashin, Anna Radovskaya, Andrew Semenov +7Stochastic Gradient DescentStochastic Differential Equations

  23. The finite expression method for turbulent dynamics with high-order moment recovery

    May 11, 2026Xingjian Xu, Di Qi, Chunmei WangSymbolic RegressionStochastic Dynamics

  24. Learning stochastic multiscale models through normalizing flows

    May 10, 2026Anan Saha, Arnab GangulyMultiscale DynamicsStochastic Dynamics

  25. Conservative Flows: A New Paradigm of Generative Models

    May 7, 2026Eshed Gal, Md Shahriar Rahim Siddiqui, Moshe Eliasof +1Generative Flow NetworksGenerative Models

  26. A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models

    May 7, 2026Aditya Ranganath, Mukesh SinghalScore-Based Diffusion ModelGenerative Models

  27. Stochastic Barrier Certificates in the Presence of Dynamic Obstacles

    Apr 22, 2026Rayan Mazouz, Luca Laurenti, Morteza LahijanianControl Barrier FunctionsObstacle Avoidance

  28. Geometric regularization of autoencoders via observed stochastic dynamics

    Apr 17, 2026Sean Hill, Felix X. -F. YeGeometric RegularizationStochastic Dynamics

  29. Simulation-free Structure Learning for Stochastic Population Dynamics

    Oct 18, 2025Noah El Rimawi-Fine, Adam Stecklov, Lucas Nelson +4Population DynamicsStochastic Dynamics

  30. Discrete distributions are learnable from metastable samples

    Oct 17, 2024Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra +1Metastable SamplesGibbs

  31. Topology-Guided Modular Actor-Critic Learning for Continuous Systems under Temporal Objectives

    Apr 20, 2023Lening Li, Zhentian Qian, Jianan Xia +7Soft Actor-CriticModel-Free Reinforcement Learning