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11 papers in the last four weeks, up 175% on the four weeks before. 0.1% of all new papers.

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  1. Muon meets Tamed Langevin: Momentum Preconditioning beyond Convex and gradient-Lipschitz Potentials

    Oct 1, 2026Nikolaos Makras, Sotirios SabanisLangevin DynamicsLipschitz Continuity

    School of Mathematics, University of Edinburgh, UK · National Technical University of Athens, Greece · Athena/Archimedes Research Centre, Greece

  2. Counterfactual Generation via Flow Matching: Coupling-Sensitive End-to-End Rates

    Oct 1, 2026Yunrui Guan, Krishnakumar Balasubramanian, Shiva Prasad KasiviswanathanCounterfactual GenerationAccelerated Sampling

    Department of Applied Mathematics and Statistics, Johns Hopkins University. · Amazon · Department of Statistics, University of California, Davis.

  3. Inference for stochastic differential equations driven by weighted sub-fractional Brownian motion using neural networks and the Euler approximation

    Sep 30, 2026J. H. Ramirez-GonzalezStochastic Differential EquationsTime Discretization

    Institute of Mathematics and Statistics, University of São Paulo (IME–USP), São Paulo, Brazil

  4. CasEm: A Cascade Architecture for Long-Horizon Neural Emulation

    Sep 28, 2026Zhaoyi Li, Jingtao Ding, Shihua LiEmulatorsAutoregressive Model

    School of Automation, Southeast University · Beijing Zhongguancun Academy · Department of Earth System Science, Tsinghua University

  5. TinyUDE: Solver-Free Universal Differential Equations on Microcontrollers via Lie-Taylor Jet Matching

    Sep 22, 2026Pranavanath Balamurali, Hrishi KamireddyOrdinary Differential EquationsTime Discretization

    Department of Electrical and Computer Engineering The University of Texas at Austin · Department of Computer Science The University of Texas at Austin

  6. Gaussian Flow-Matching Schedules: Implications for Sampling and Training

    Sep 22, 2026Arsène Claustre, Hugo Negrel, Claire Boyer +2Time DiscretizationVariance

    DI-ENS · CNRS, ENS Paris · DMA, CFM +6

  7. Higher-Order Approximation of Exit Functionals in Sampling-Based Stochastic Model Predictive Control

    Sep 21, 2026Sashank Modali, Takashi TanakaStochastic Optimal ControlModel Predictive Control

  8. Conservation Buys Stability and Factoring Buys Counterfactuals in Physical World Models

    Sep 17, 2026Yufeng Wang, Parivesh Priye, Lu Wei +1World ModelsTime Discretization

    Stony Brook University · Georgia Institute of Technology · Westlake University

  9. Timely Activation of Safety Filters via One-Step Reachability Expansion

    Sep 15, 2026Javier BorquezSafety FiltersHamilton-Jacobi Reachability

    Universidad de Santiago de Chile Santiago, Chile

  10. CyFM: Cylindrical Optimal Transport for Few-Step Complex-Valued Flow Matching

    Sep 12, 2026Marcel Musiałek, Iga Wolanin, Damian Ryczko +2Differentiable Optimal TransportTime Discretization

    Wrocław University of Science and Technology Wrocław, Poland

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

    Sep 10, 2026Ling Guo, Lei Li, Jingtong ZhangAccelerated SamplingStochastic Differential Equations

    Department of Mathematics, Shanghai Normal University, Shanghai, China · School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China · Institute of Natural Sciences, MOE-LSC, Shanghai Jiao Tong University, Shanghai, China

  12. Introducing SINFONIA: Symplectic, slimplectic and Magnusian (Neural) Flows for Orbital Numerical Integration and Acceleration

    Sep 3, 2026Lidia J. Gomes Da SilvaGravitational WavesPhase Space

    SISSA, Via Bonomea 265, 34136 Trieste, Italy and INFN Sezione di Trieste · INFN Sezione di Trieste · IFPU - Institute for Fundamental Physics of the Universe, Via Beirut 2, 34014 Trieste, Italy

  13. Conditional Flow Matching for ML-Based Inverse Design Problems

    Sep 1, 2026Juliana Felder, Milad Habibi, Soheyl Massoudi +1Conditional Flow MatchingPhysics-Guided Diffusion

    ETH Zürich · University of Maryland, College Park

  14. Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains

    Aug 31, 2026Zi Wang, Minghui Xu, Tapan MukerjiPartial Differential EquationsMesh Generation

    Department of Energy Science and Engineering Stanford University Stanford, CA 94305

  15. A matched-integrator evaluation of Hamiltonian neural networks on pendulum and Kepler dynamics

    Aug 10, 2026Lenick Kemunto Nyabuto, Yae Ulrich Gaba, Birahim TeweHamiltonianInverted Pendulum

    African Institute for Mathematical Sciences (AIMS) Senegal

  16. MBO Scheme for Local Chan--Vese Segmentation

    Aug 1, 2026Kevin Bui, Adina CiomagaContoursTime Discretization

    Department of Mathematics, University of California, Irvine, 340 Rowland Hall, Irvine, CA 92697-3875, USA · Université Paris Cité, CNRS, Sorbonne Université, Laboratoire Jacques-Louis Lions (LJLL), F-75006 Paris, France · & Octav Mayer Institute of Mathematics, Romanian Academy, Iaşi Branch, 700506 Iaşi, Romania.

  17. A Physics-Informed Neural Operator for Thermal Ranking of Low-Cost Wall Materials in Hot-Dry Climates

    Jul 28, 2026Muhammad Akbar Khan, Fahim Raees, Ubaida FatimaHeat DiffusionMaterials

    Department of Mathematics, NED University of Engineering and Technology, Karachi 75270, Pakistan

  18. From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models

    Jul 25, 2026Jinshu Huang, Yiming Jiang, Chunlin WuScore-Based Diffusion ModelDiffusion Models

    School of Mathematical Sciences, Nankai University, Tianjin, China

  19. Data-Driven Diffusion Processes on Differential Forms via the Projected Ambient Connection Laplacian

    Jul 25, 2026Alvaro Almeida Gomez, Jorge Duque FrancoGraph LaplaciansDiscretization

    Centro de Modelamiento Matemático (CNRS IRL 2807), Universidad de Chile, Beaucheff 851, Santiago, Chile · Dirección de Investigación, Vicerrectoría Académica, Instituto de Matemáticas, Universidad de Talca, Casilla 721, Talca, Chile

  20. Spatial Transport of Integration Error in Generative ODEs

    Jul 17, 2026Songheng YinTime DiscretizationDiffusion Models

    Columbia University

  21. From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks

    Jul 17, 2026Zhiheng Zhou, Mengyao Zhou, Yancheng Chen +3HypergraphsGraph Neural Networks

    School of Mathematics and Statistics, Shandong University, Weihai, Shandong 264209, China · Academy of Mathematics and Systems Science, Chinese Academy of Sciences and also with the University of Chinese Academy of Sciences, Beijing 100190, China

  22. Delocalization of bias in unadjusted Hamiltonian Monte Carlo and underdamped Langevin

    Jul 16, 2026Yifan Chen, Xiaoou Cheng, Jonathan Niles-Weed +1Langevin DynamicsMonte Carlo

    Department of Mathematics, University of California, Los Angeles, CA 90095, USA · Courant Institute, New York University, NY 10012, USA

  23. Adaptive Runge-Kutta Step Control Buys Training Loss, Not Generalization: An Honest Compute-Matched Study of RK-Adam Optimizers

    Jul 16, 2026Akhilesh GogikarAdamTime Discretization

    1Independent Researcher.

  24. Velocity Scheduled Flow Matching

    Jul 13, 2026Vitalii BondarConditional VelocityTime Discretization

    Cherkasy State Technological University Cherkasy, Ukraine

  25. Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance

    Jul 13, 2026Zixuan Shen, Bingchuan Wang, Zhi Wang +1Neural Partial Differential Equation SolversDiscretization

    Central South University · Central South University, Changsha, Hunan 410083, China · Nanjing University +1

  26. Generative wave propagator

    Jul 5, 2026Shijun Cheng, Tariq AlkhalifahComplex WavefieldFull Waveform Inversion

    Division of Physical Science and Engineering King Abdullah University of Science and Technology Thuwal 23955-6900, Saudi Arabia

  27. Asymptotic Preservation and Uniform Accuracy of Diffusion and Flow-Matching Samplers

    Jul 5, 2026Shiheng ZhangAccelerated SamplingTime Discretization

    University of Washington

  28. MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration

    Jun 30, 2026Gabriel ClingerCross-ModalRgb-Depth Cameras

    The George Washington University

  29. Beyond Trajectory Matching: Reflow with Marginal Distribution Alignment

    Jun 28, 2026Chen Wang, Peiran Yun, Pan Xie +1Diffusion AlignmentDistribution Matching Distillation

    Department of Statistics and Data Science, Tsinghua University · Department of Computer Science and Technology, Tsinghua University · Bytedance Inc

  30. Symplectic Neural Networks for learning Generalized Hamiltonians

    Jun 25, 2026Harsh Choudhary, Vyacheslav Kungurtsev, Chandan Gupta +2HamiltonianNeural Ordinary Differential Equations

    Computer Science Department, Indraprasth Institute of Information Technology, New Delhi, India 110020 · Athena Research and Innovation Center, Marousi, Greece 15125 · HSBC Holdings, Singapore

  31. Accelerated sampling using SamAdams variable timesteps and position-adaptive Langevin dynamics

    Jun 25, 2026Benedict Leimkuhler, Peter A. WhalleyLangevin DynamicsAccelerated Sampling

    School of Mathematics, University of Edinburgh, Edinburgh, UK. · Seminar for Statistics, Department of Mathematics, ETH Zürich, Zürich, Switzerland.

  32. Physics-Informed Neural Operator for Speech Production Analysis

    Jun 21, 2026Kazuya Yokota, Xinmeng Luan, Debasish Ray Mohapatra +2Vocal Tract ShapeConsonants

    Department of Mechanical Engineering, Nagaoka University of Technology, Japan · Schulich School of Music, McGill University, Canada · Department of Electrical and Computer Engineering, University of British Columbia, Canada

  33. Neural network surrogates with uncertainty quantification for inverse problems in partial differential equations

    Jun 18, 2026Christian Jimenez-Beltran, Aretha L. Teckentrup, Antonio Vergari +1Surrogate ModelsInverse Problem

    School of Mathematics and Maxwell Institute for Mathematical Sciences University of Edinburgh · School of Informatics University of Edinburgh

  34. The Integrator Advantage: Controlled Agentic AI for Small and Medium-Sized Companies

    Jun 15, 2026Christopner Koch, Joshua A. WellbrockProduction Agentic SystemsAgentic

    Independent Researcher

  35. COGENT: Continuous Graph Emulators with Neural Ordinary Differential Equations for Long-Term Physical Forecasting

    Jun 9, 2026Zesheng Liu, Maryam RahnemoonfarLong-Horizon ForecastingNeural Ordinary Differential Equations

    Lehigh University · Bethlehem, Pennsylvania, USA

  36. Convergence of Monte Carlo Optimistic Policy Iteration: Beyond Uniform State-Action Updates

    Jun 9, 2026Octave Oliviers, Glenn VinnicombeBoltzmann PoliciesMonte Carlo

    Department of Engineering University of Cambridge Cambridge, UK

  37. A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models

    Jun 7, 2026Yunchen Li, Shaohui Lin, Zhou YuStochastic InterpolantsOverfitting

    East China Normal University

  38. Overcoming the Limits of Finite Difference Method; Physics-Informed Neural Network for Noisy High-Dimensional Heat Diffusion

    Jun 6, 2026Shreesh Bhattarai, Harish Chandra BhandariHeat DiffusionTime Discretization

    Department of Mathematics, Kathmandu University Dhulikhel, Nepal

  39. DAS-PINNs for high-dimensional partial differential equations: extending deep adaptive sampling to spacetime domains

    Jun 4, 2026Anshima Singh, David J. SilvesterPartial Differential EquationsTime Discretization

    Department of Mathematics, University of Manchester, Oxford Road, Manchester M13 9PL, UK

  40. Error Bounds for a Diffusion Model-Based Drift Estimator

    Jun 1, 2026Ioar Casado-Telletxea, Omar RivasplataStochastic Differential EquationsScore-Based Diffusion Model

    Basque Center for Applied Mathematics (BCAM) · Bilbao, Spain · Centre for AI Fundamentals & Department of Computer Science +1

  41. PIDM-DP: Physics-Informed Diffusion with Dormand-Prince Integration for Chaotic System Identification and State Reconstruction across Multiple Dynamical Regimes

    May 26, 2026Shailendra DabralChaosTime Discretization

    Indian Institute of Technology Indore

  42. Recursive Flow Matching

    May 26, 2026Jiahe Huang, Sihan Xu, Sharvaree Vadgama +1Conditional Flow MatchingEmulators

    University of California, San Diego · University of Michigan

  43. Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction

    May 19, 2026Robert Jenkinson AlvarezS-JepaJoint-Embedding Predictive Architectures

  44. U-HNO: A U-shaped Hybrid Neural Operator with Sparse-Point Adaptive Routing for Non-stationary PDE Dynamics

    May 13, 2026Yingzhe Ma, Xiao Yang, Yuxin Xie +2Neural OperatorsPartial Differential Equations

    University of Electronic Science and Technology of China · Peking University

  45. Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration

    May 12, 2026Davide Evangelista, Elena Morotti, Francesco Pivi +1Posterior SamplingDiffusion Sampling

    Dept. of Computer Science and Engineering University of Bologna · Dept. of Political and Social Sciences University of Bologna

  46. Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching

    May 12, 2026Aditi Gupta, Soon Hoe Lim, Annan Yu +1Conditional Flow MatchingAccelerated Sampling

    Lawrence Berkeley National Laboratory · International Computer Science Institute · 1Lawrence Berkeley National Laboratory, 2International Computer Science Institute +4

  47. Efficient Adjoint Matching for Fine-tuning Diffusion Models

    May 12, 2026Jeongwoo Shin, Dongsoo Shin, Yuchen Zhu +5Adjoint MatchingDiffusion Models

    Seoul National University · Georgia Institute of Technology · Sungkyunkwan University

  48. Distributed Pose Graph Optimization via Continuous Riemannian Dynamics

    May 11, 2026Jaeho Shin, Maani Ghaffari, Yulun TianCategory-Level Object Pose EstimationMulti-Robot Systems

    University of Michigan Ann Arbor, MI 48109, USA

  49. Haptic Rendering of Fractional-Order Viscoelasticity: Passivity and Rendering Fidelity

    May 11, 2026Gorkem Gemalmaz, Harun Tolasa, Volkan PatogluHaptic FeedbackSlow Relaxation Modes

    Faculty of Engineering and Natural Sciences at Sabanci University, Istanbul, Turkiye.

  50. TIDES: Implicit Time-Awareness in Selective State Space Models

    May 10, 2026Taylan Soydan, Miguel A. Bessa, Dirk Mohr +1State Space ModelsSequence Modeling

    AIMM, ETH Zürich Zurich, Switzerland

  51. Physics-Informed Neural PDE Solvers via Spatio-Temporal MeanFlow

    May 9, 2026Hanru Bai, Yuncheng Zhou, Difan ZouNeural Partial Differential Equation SolversTime Discretization

    1Fudan University · 2The University of Hong Kong.

  52. A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds

    May 8, 2026Benjamin D. Shaffer, Brooks Kinch, M. Ani Hsieh +1Mesh GenerationPoint Clouds

    University of Pennsylvania Philadelphia, PA 19104 · *Mechanical Engineering and Applied Mechanics

  53. Learned Lagrangian Models of PDEs via Euler-Lagrange Residual Minimization

    May 8, 2026Lyra Zhornyak, Eric Forgoston, M. Ani HsiehLagrangian MethodsTime Discretization

    University of Pennsylvania · Montclair State University

  54. EULER-ADAS: Energy-Efficient & SIMD-Unified Logarithmic-Posit Engine for Precision-Reconfigurable Approximate ADAS Acceleration

    May 7, 2026Mukul Lokhande, Ratko Pilipovic, Omkar Kokane +2Field-Programmable Gate ArraysEnergy-Efficient

    NSDCS Research Group, Dept. of Electrical Engineering, Indian Institute of Technology Indore, Indore, India · Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia · EnICS Labs, Bar-Ilan Univ., Ramat Gan 5290002, Israel

  55. Structure-Preserving Gaussian Processes Via Discrete Euler-Lagrange Equations

    May 7, 2026Jan-Hendrik Ewering, Kathrin Flaßkamp, Niklas Wahlström +2Lagrangian MethodsGaussian Process

    Leibniz Universität Hannover · Saarland University · Uppsala University

  56. DBMSolver: A Training-free Diffusion Bridge Sampler for High-Quality Image-to-Image Translation

    May 7, 2026Sankarshana Venugopal, Mohammad Mostafavi, Jonghyun ChoiUnpaired Image-To-Image TranslationDiffusion Bridges

    Seoul National University · ECE, IPAI, ASRI in SNU

  57. Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations

    May 6, 2026Zhangyong Liang, Huanhuan GaoClassical Numerical SolverTime Discretization

    National Center for Applied Mathematics Tianjin University Tianjin, 300072, China · School of Mechanical and Aerospace Engineering, Jilin University Jilin University Changchun, 130025, China

  58. Differentiable Multiphysics Co-Optimization via Implicit Neural Representations: A Transient Hamburger-Cooking Benchmark

    May 1, 2026Navid ZobeiryShape OptimizationTime Discretization

    Department of Materials Science and Engineering, University of Washington · William E. Boeing Department of Aeronautics & Astronautics, University of Washington, Seattle, WA 98195, USA

  59. Transformer as an Euler Discretization of Score-based Variational Flow

    Apr 26, 2026Huadong LiaoTransformer ArchitecturesMulti-Head Attention

  60. On the Role of Strain and Vorticity in Numerical Integration Error for Flow Matching

    Apr 22, 2026Chenxi Tao, Seung-Kyum ChoiVortexTime Discretization

    Georgia Institute of Technology