Markov Models

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  1. Learning Transition Kernels of Jump-Diffusion Processes with Conditional Diffusion Models

    Oct 6, 2026Yuzhen Zhao, Yating Liu, Quentin GuibertStochastic Differential EquationsConditional Distribution Estimation

  2. Conditional Flow Matching for Transport Between Markov Processes

    Oct 5, 2026Syamantak Kumar, Dheeraj Nagaraj, Saptarshi Roy +1Conditional Flow MatchingDomain Adaptation

  3. Machine learning kinetics from molecular dynamics data

    Sep 15, 2026Jonathan Weare, Aaron R. DinnerMarkov ModelsMolecular Dynamics Simulation

  4. High-Performance Tensor Formulation of the Viterbi Algorithm for Hidden Semi-Markov Models

    Sep 15, 2026Lorenzo Piarulli, Elia Belli, Daniele De SensiMarkov ModelsHigh-Performance Computing

  5. Strong and Compact Policies for Submodular Markov Decision Processes via LP-Based Submodular Orienteering

    Sep 14, 2026Lars Rohwedder, Rico ZenklusenSubmodular OptimizationMarkov Decision Processes

  6. Supermartingale Certificates for Parametric MDPs

    Sep 14, 2026Kaushik Mallik, \DHorj̣e ŽikelićRobust Markov Decision ProcessesMarkov Decision Processes

  7. Windowed A-K-MDP

    Sep 12, 2026Xiangwen Yang, Frankie Cho, Iadine ChadesMarkov Decision ProcessesMarkov Models

  8. When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting

    Sep 1, 2026Ariel Smogorghevski, Nir Rosenfeld, Yaniv RomanoMarkov Chain Monte CarloMarkov Models

  9. Newton-Schulz Retraction-Based Inference Enables Hidden Quantum Markov Models to Outperform Classical HMMs

    Aug 6, 2026Ning NingNewton-Schulz IterationMarkov Models

  10. Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions

    Aug 6, 2026Yuepeng Yang, Yuxin Chen, Yuejie ChiRobust Markov Decision ProcessesAverage-Reward RL

  11. MACRO: Markov Chain Routing of Transformer Layers

    Aug 6, 2026Paweł Batorski, Abtin Pourhadi, Akylgali Aitaza +2Markov ModelsLLM Inference Acceleration

  12. PAC Approximation and DIRECT Optimization for Parametric Markov Models

    Aug 3, 2026Zhiming Chi, Ying Liu, Andrea Turrini +2Robust Markov Decision ProcessesMarkov Decision Processes

  13. Tensor Probabilistic Model Checking of Finite-Horizon Markov Chains (Extended Version)

    Aug 1, 2026Jianlin Li, Nick Guo, Peter Ye +1Reachability AnalysisMarkov Models

  14. Minimal Markovization via Stable Quotients in Holonomy-Cover Decision Processes

    Jul 29, 2026Zuyuan Zhang, Yongshan Chen, Mahdi Imani +1Markov Decision ProcessesPartially Observable RL

  15. Property-driven Causal Abstractions for Markov Decision Processes

    Jul 29, 2026Jule Schmidt, Maximilian Weininger, Clemens Dubslaff +2Markov Decision ProcessesMarkov Models

  16. dtControl2+ε\varepsilon: Trading Optimality for Explainability in MDPs via Decision Trees

    Jul 28, 2026Tereza Kinská, Jan Křetínský, Tobias Meggendorfer +2Markov Decision ProcessesMarkov Models

  17. A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models

    Jul 26, 2026Trung Phung, Ilya ShpitserSemiparametric InferenceMarkov Models

  18. Learning Ergodic Dynamical Systems from a Finite Trajectory

    Jul 24, 2026Oleksii Kachaiev, Silvia Villa, Lorenzo RosascoKoopman Operator LearningMarkov Models

  19. Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

    Jul 23, 2026Jingyuan Li, Xiaoyi Jiang, Yixuan Jiang +4Constrained Generative ModelingMarkov Models

  20. Parallel Noising in Neural Markov Logic Networks

    Jul 21, 2026Peter Jung, Giuseppe Marra, Ondrej KuzelkaMarkov Chain Monte CarloGraph Generation

  21. End-to-End Markov State Sequence Learning for Auditory Attention Decoding

    Jul 21, 2026Yushan Yashengjiang, Jie Zhang, Miao Sun +3Markov ModelsNeural Decoding

  22. Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes

    Jul 14, 2026Minh-Quan Le, Armand Comas, Alexandros Lattas +7Masked Diffusion ModelsMarkov Models

  23. Risk-Aware General-Utility Markov Decision Processes

    Jul 10, 2026Pedro P. Santos, Fábio Vital, Alberto Sardinha +1Markov Decision ProcessesMarkov Models

  24. What Does a Discrete Diffusion Model Learn?

    Jul 6, 2026Rodrigo Casado Noguerales, Bernhard Schölkopf, Thomas Hofmann +1Markov ModelsVariational Inference

  25. Non-Asymptotic Error Bounds for SMC with Biased Proposals: Application to Conditional Diffusion Sampling

    Jul 6, 2026Stanislas Strasman, Gabriel Victorino Cardoso, Sylvain Le Corff +2Markov Chain Monte CarloMarkov Models

  26. Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees

    Jun 29, 2026Ryohei Oura, Georgios Fainekos, Hideki Okamoto +1Reachability AnalysisMarkov Decision Processes

  27. Learning in Markovian bandits with non-observable states and constrained decision epochs

    Jun 25, 2026Thomas Hira, Victor Boone, Urtzi Ayesta +1Multi-Armed BanditsMarkov Models

  28. Confidence Sequences for Online Statistical Model Checking of Markov Decision Processes

    Jun 24, 2026Konstantin Kueffner, Tobias Meggendorfer, Maximilian Weininger +1Markov Decision ProcessesUncertainty Quantification

  29. Low-Complexity Policy Tessellations in Structured Markov Decision Processes

    Jun 24, 2026Fredy PokouMarkov Decision ProcessesReinforcement Learning

  30. Entropy Objectives in Markov Decision Processes

    Jun 19, 2026S. Akshay, Raghav Goyal, Aditya Neeraje +1Markov Decision ProcessesMarkov Models

  31. Maturing Markov Decision Processes: Decision Making under Increasing Information and Shrinking Action Sets

    Jun 17, 2026Jiaxi Liu, Aiping Yang, Yuhang Yang +4Markov Decision ProcessesMarkov Models

  32. Learning Policy from a Single Trajectory in Average-Reward Markov Decision Process

    Jun 15, 2026Jongmin Lee, Ernest K. Ryu, Vaneet AggarwalMarkov Decision ProcessesReinforcement Learning

  33. Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs

    Jun 12, 2026Tianhao Wu, Matthew Zurek, Weina Wang +1Multi-Armed BanditsRobust Markov Decision Processes

  34. A Continuous-Time Markov Chain Framework for Insertion Language Models

    Jun 8, 2026Dhruvesh Patel, Benjamin Rozonoyer, Soumitra Das +3Markov ModelsLanguage Modeling

  35. Personalized and Robust Proactive Robot Assistance with Uncertainty-Guided LLM Reasoning

    Jun 7, 2026Alvaro Gonzalez, M. H. Hasan Shovo, Ali AyubMarkov ModelsAssistive Robotics

  36. Bayesian learning for the stochastic shortest path problem

    Jun 3, 2026Chon Wai Ho, Sumeetpal S. Singh, Jiaqi GuoMarkov Decision ProcessesReinforcement Learning

  37. A Doeblin-Anchored Contrastive Chart for Learning Markov Transition Kernels

    Jun 1, 2026Ao XuContrastive LearningMarkov Models

  38. Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems

    May 29, 2026Jonathan Colaço Carr, Prakash Panangaden, Doina Precup +1Pairwise Preference LearningMarkov Decision Processes

  39. Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning

    May 29, 2026Yike Zhao, Onno Eberhard, Malek Khammassi +2Partially Observable RLMarkov Models

  40. Sampling Data with Chains of Forward-Backward Diffusion Steps

    May 26, 2026Hyunmo Kang, Noam Itzhak Levi, Corinna Elena Wegner +2Dynamical SystemsMarkov Chain Monte Carlo

  41. On the Error-Correcting Effects of Stochasticity in Discrete Diffusion

    May 26, 2026William Yuan, Sungwon Jeong, Amirali AghazadehMarkov ModelsDiffusion Sampling

  42. Multi-Level Contextual Token Relation Modeling for Machine-Generated Text Detection

    May 15, 2026Chenwang Wu, Yiuming Cheung, Bo Han +2AI-Generated Text DetectionMarkov Models

  43. Learning POMDP World Models from Observations with Language-Model Priors

    May 13, 2026Valentin Six, Frederik Panse, Mathis Fajeau +7World Model LearningMarkov Models

  44. Discrete MeanFlow: One-Step Generation via Conditional Transition Kernels

    May 12, 2026Fairoz Nower Khan, Nabuat Zaman Nahim, Md Sajid Ahmed +2Markov ModelsMeanFlow

  45. Missingness-MDPs: Bridging the Theory of Missing Data and POMDPs

    May 12, 2026Joshua Wendland, Markel Zubia, Roman Andriushchenko +6Markov ModelsLearning with Missing Data

  46. Mixing Times of Glauber Dynamics on Masked Language Models

    May 11, 2026Suvadip Sana, Sami Wolf, Neer Mehta +4Dynamical SystemsMarkov Chain Monte Carlo

  47. Attribution-based Explanations for Markov Decision Processes

    May 10, 2026Paul Kobialka, Andrea Pferscher, Francesco Leofante +3Feature AttributionMarkov Decision Processes

  48. Multi-Environment POMDPs with Finite-Horizon Objectives

    May 8, 2026Léonard Brice, Filip Cano, Krishnendu Chatterjee +2Belief-Space PlanningMarkov Models

  49. On-line Learning in Tree MDPs by Treating Policies as Bandit Arms

    May 6, 2026Anvay Shah, Ramsundar Anandanarayanan, Sharayu Moharir +1Markov Decision ProcessesMarkov Models

  50. Learning Time-Inhomogeneous Markov Dynamics in Financial Time Series via Neural Parameterization

    May 6, 2026Jan Rovirosa, Jesse SchmolzeMarkov ModelsFinancial Time Series