Adjoint Matching

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3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Unified Optimality Conditions for Stochastic Optimal Control in the Rough Path and Itô Frameworks

    Sep 29, 2026Thomas LewStochastic Optimal ControlStochastic Differential Equations

    Toyota Research Institute

  2. Transcript-Supervised Post-Training of Generative Speech Enhancement on Real Recordings via Reinforce Adjoint Matching

    Sep 24, 2026Julius Richter, Christoph Boeddeker, Yoshiki Masuyama +4Speech EnhancementPost-Training

    Mitsubishi Electric Research Laboratories (MERL), USA · Mitsubishi Electric Corporation, Japan

  3. OMatG-flash: An All-Atom Flow Map with Reinforce Adjoint Matching for Scalable Materials Discovery

    Sep 22, 2026Thomas Egg, Harry Winston Sullivan, Ellad B. Tadmor +1Data-Driven Materials DiscoveryCrystal Structure Prediction

    New York University · University of Minnesota

  4. Unifying Physical Backpropagation

    Aug 12, 2026Cyrill Bösch, Yigithan Gediz, Clara C. Wanjura +1BackpropagationAdjoint Matching

    Department of Computer Science, Princeton University, Princeton, NJ 08540, USA · Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08540, USA

  5. Differentiate the Solver, Not the Equation: Reverse-Sweep Adjoints for Block Implicit Simulation

    Aug 9, 2026Lei Shu, Ying Jiang, Kui Wu +3Differentiable PhysicsAdjoint Matching

    Stanford University · University of California, Los Angeles · LightSpeed Studios, Tencent America +1

  6. Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems

    Jul 17, 2026Matteo Tomasetto, Nicolò Botteghi, Gabriele Bruni +1Reinforcement Learning ControlOffline Reinforcement Learning

    Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy · MOX - Department of Mathematics, Politecnico di Milano, Milano, Italy

  7. An AI-Assisted Solution to the Signed BAR Conjecture: Uniqueness in the Harrison--Reiman Class and a Completely-S\mathcal{S} Class Obstruction

    Jul 3, 2026Yiping Lu, Youheng ZhuMatrixAdjoint Matching

    Department of Industrial Engineering and Management Sciences, McCormick School of Engineering, Northwestern University.

  8. Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching

    Jun 21, 2026Serge Thilges, Onur Celik, Denis Blessing +2Diffusion-Based Reinforcement Learning MethodsDiffusion Policies

    Autonomous Learning Robots, Karlsruhe Institute of Technology

  9. Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems

    Jun 10, 2026Zhen Zhang, Alessandro Alla, George Em KarniadakisParametric Physics-Informed Neural NetworkBayesian Inverse Problems

    Division of Applied Mathematic, Brown University, Providence, RI, USA · Department of Mathematics, Sapienza Università di Roma, Rome, Italy

  10. Internalizing Geometric Law: Learning from Solver Residuals for Precision-Critical Generation

    Jun 8, 2026Rafael Cabral, Pang Zixi, Ziyi Shou +1Geometric ConstraintsAdjoint Matching

    Huawei Celia Team

  11. Reactive Flux Matching: Mechanism Discovery and Adaptive Sampling of Rare Events

    Jun 4, 2026Rishal Aggarwal, David Ryan Koes, Nicholas M. Boffi +1Conditional Flow MatchingReaction

    CMU-Pitt Program in Computational Biology Dept. of Computational & Systems Biology University of Pittsburgh · Machine Learning Department Dept. of Mathematical Sciences Carnegie Mellon University · Courant Institute, New York University Machine Learning Lab +1

  12. Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching

    May 29, 2026Shengyu Feng, Tarun Suresh, Yiming YangCombinatorial OptimizationAdjoint Matching

    Language Technologies Institute, Carnegie Mellon University · University of Illinois Urbana-Champaign

  13. Trust Region Q Adjoint Matching

    May 26, 2026Yonghoon Dong, Kyungmin Lee, Changyeon Kim +2Flow PoliciesQ-Learning

    1KAIST AI · 2Seoul National University · 3RLWRLD

  14. Vocabulary-size-independent Convergence of Discrete Diffusion Models: adjoint equations induce the right space

    May 17, 2026Kelvin Kan, Xingjian Li, Benjamin J. Zhang +3Diffusion ModelsGenerative Models

    Department of Mathematics Oden Institute UCLA · Department of Mathematics University of Texas at Austin · Rutgers University +3

  15. 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

  16. Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models

    May 11, 2026Andreas Bergmeister, Stefanie Jegelka, Nikolas Nüsken +2Generative Flow NetworksDiffusion Models

    1TU Munich, MCML · 2MIT CSAIL · 3King’s College London +2

  17. Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline

    May 7, 2026Zhengyi Guo, Jiayuan Sheng, David D. Yao +1Flow ModelsGenerative Flow Networks

  18. SNAPO: Smooth Neural Adjoint Policy Optimization for Optimal Control via Differentiable Simulation

    May 7, 2026Dmitri Goloubentsev, Natalija KarpichinaFrictive Policy OptimizationAdjoint Matching

    MatLogica, U.K.

  19. Entropy-Regularized Adjoint Matching for Offline Reinforcement Learning

    May 7, 2026Abdelghani Ghanem, Mounir GhoghoEntropy Regularized Reinforcement LearningModel-Based Reinforcement Learning

    College of Computing Mohammed VI Polytechnic University Rabat 11103, Morocco

  20. Neural Control: Adjoint Learning Through Equilibrium Constraints

    May 5, 2026Dezhong Tong, Jiawen Wang, Hengyi Zhou +3Learning-Based ControlDeformable Linear Objects

    The Robotics Department, University of Michigan, Ann Arbor, US · The Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, US

  21. Calibration of the underlying surface parameters for urban flood using latent variables and adjoint equation

    May 3, 2026Yongfu Tian, Shan Ding, Guofeng Su +1Sen1Floods11Surrogate Models

    School of Safety Science, Tsinghua University, Beijing, 100084, China

  22. A unified perspective on fine-tuning and sampling with diffusion and flow models

    Apr 30, 2026Carles Domingo-Enrich, Yuanqi Du, Michael S. AlbergoGenerative Flow NetworksAdjoint Matching

    Microsoft Research New England · Harvard University, Kempner Institute

  23. Neural Adjoint Method for Meta-optics: Accelerating Volumetric Inverse Design via Fourier Neural Operators

    Apr 19, 2026Chanik Kang, Hyewon Suk, Haejun ChungGenerative Inverse DesignFourier Neural Operators

    Hanyang University, Department of Artificial Intelligence Semiconductor Engineering Seoul, Korea · Hanyang University, Department of Electronic Engineering Seoul, Korea

  24. Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control

    Mar 28, 2026Carles Domingo-Enrich, Jiequn HanAdjoint MatchingStochastic Optimal Control

    Microsoft Research New England · Flatiron Institute

  25. Adjoint-based shape optimization of a ship hull using a Conditional Variational Autoencoder (CVAE) assisted propulsion surrogate model

    Feb 16, 2026Moloud Arian Maram, Georgios Bletsos, Thanh Tung Nguyen +3VesselsSurrogate Models

    J.M. Voith SE & Co. KG, Alexanderstrasse 2, Heidenheim, 89522, Baden-Württemberg, Germany · Institute for Fluid Dynamics and Ship Theory, Hamburg University of Technology, Am Schwarzenberg-Campus 4, Hamburg, 21073, Germany

  26. Counterfactual Operator Relevance for PDE Discovery: Screening, Pruning, and Identifiability

    Jun 25, 2025Ronald KatendePartial Differential EquationsIdentifiability

    Department of Mathematics Kabale University Kikungiri Hill, Katuna Road, 317, Kabale, Uganda