Differentiable Optimization

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14 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Same Loss, Different Gradients

    Sep 30, 2026Ningkang Peng, Xiaoqian Peng, Yifan He +4Differentiable OptimizationGradient

    Nanjing Normal University · Nanjing University of Chinese Medicine

  2. Self-Aligned Forcing: Streaming Video Diffusion with Differentiable Noisy History

    Sep 29, 2026Weiqiang Wang, Zhuokun Chen, Yusheng Dai +5Autoregressive Video Diffusion ModelsVideo Diffusion Models

    Monash University · Vivix AI · Lancaster University

  3. On the Numerical Reliability of Differentiable Physics-Based Optimization for Robotic Material Manipulation

    Sep 28, 2026Xintong Yang, Minglun Wei, Yu-Kun Lai +1Differentiable PhysicsDifferentiable Optimization

    School of Engineering, Cardiff University, Cardiff, United Kingdom · School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom · College of Mechanical and Electrical Engineering, Hohai University, China

  4. A Differentiable Optimization Framework for Registering Sequential Bounding Boxes with Point Cloud Stream

    Sep 28, 2026Xuesong Li, Jinguang Tong, Jie HongPoint Cloud RegistrationBounding Box

    CSIRO · The University of Hong Kong

  5. dOPT: Differentiating Conic Optimization via Geometric Reduction

    Sep 27, 2026Fengyu Yang, Connor W. Magoon, Tyler Watts +1Convex OptimizationDifferentiable Optimization

    Department of Mathematics University of North Carolina at Chapel Hill

  6. Taming the Greeks: Option Portfolios with Inductive Biases

    Sep 27, 2026Wee Ling Tan, Stephen Roberts, Stefan ZohrenPortfolio OptimizationPortfolio Construction

    Department of Engineering Science Oxford-Man Institute of Quantitative Finance University of Oxford

  7. Task-Aware Discretization of Differentiable Logic Gate Networks

    Sep 27, 2026Thore GerlachDifferentiable Logic Gate NetworksDifferentiable Optimization

    Independent Researcher

  8. lapanda: A Matrix-Free Differentiable Solver for Nonconvex Constrained Optimization Layers

    Sep 27, 2026Yuankun Chen, Zifei Nie, Kangyu Lin +2Differentiable OptimizationConvex Optimization

    School of Artificial Intelligence, Jilin University, China · Graduate School of Informatics, Kyoto University, JPN · Department of Civil and Systems Engineering, Johns Hopkins University, USA

  9. Customizable and Jointly Optimized Route Planning: A Deep Architecture Enabling Differentiable Shortest-Path Search

    Sep 17, 2026Rui Zhao, Chao Chen, Longfei Xu +4Shortest PathsPath Planning

    Alibaba Group Beijing, China · Alibaba Group Hangzhou, China

  10. A Zeroth-Order Paradigm for LLM Preference Alignment

    Sep 16, 2026Peter Chen, Xi Chen, Wotao Yin +1Preference AlignmentSequential Preference Optimization

    Department of Electrical Engineering and Computer Sciences (EECS) University of California, Berkeley Berkeley, CA 94720, USA · Stern School of Business New York University New York, NY 10012, USA · Decision Intelligence Lab (Seattle) DAMO Academy, Alibaba Group U.S. Bellevue, WA 98004, USA +1

  11. Derivative-Free Structured Updates for Muon

    Sep 15, 2026Pengcheng XieMuonDifferentiable Optimization

    Lawrence Berkeley National Laboratory & University of California Berkeley, CA 94720, USA

  12. 3D Euler-Angle Orientation Control for Two-Ray Fading Mitigation in Maritime Air-to-Sea Communications

    Sep 11, 2026Mohammed Bajja, Abdoul Karim A. H. Saliah, Hajar El Hammouti +2Reconfigurable Intelligent SurfacesMaritime Navigation

    Mohammed VI Polytechnic University, Ben Guerir, Morocco · Ricerca sul Sistema Energetico S.p.A., Milan, Italy, and Czech Technical University in Prague, Prague, Czech Republic

  13. DiffLUT-Net: Differentiable Training of FPGA LUT Networks with Learnable Connectivity

    Sep 10, 2026Jiaqi Ye, Xinrui Gong, Jingcun Wang +3Field-Programmable Gate ArraysNeural Network Inference

    TU Darmstadt · TU Ilmenau

  14. MpSub: A Momentum pp-Dimensional Subspace Trust-Region Method for Derivative-Free Fine-Tuning of Large Language Models

    Sep 7, 2026Yuyang Wang, Haoyu Yao, Pengcheng XieTrust RegionMomentum

    Xi’an Jiaotong University, Xi’an, China · Lawrence Berkeley National Laboratory, Berkeley, CA, USA

  15. Reinforcement learning to choose optimizers

    Sep 1, 2026Martin van der Schelling, Deepesh Toshniwal, Miguel A. BessaPortfolio OptimizationSequential Decision Making

    Department of Mechanical Engineering Delft University of Technology, Delft, the Netherlands · Institute of Applied Mathematics Delft University of Technology, Delft, the Netherlands · School of Engineering Brown University, Providence, RI, USA

  16. Difference-of-Convex Regularization for Graph Learning by Differentiable Programming

    Aug 13, 2026Liping Tao, Chee Wei TanGraph LaplaciansGraph Representation Learning

    College of Computing and Data Science, Nanyang Technological University, Singapore 639798

  17. LaPrune: Controllable Differentiable Sparsity at Million Scale

    Aug 4, 2026Jakub Antczak, Joanna Wojciechowicz, Łukasz Struski +1SparsityDifferentiable Optimization

    Wrocław University of Science and Technology, Wrocław, Poland · Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland

  18. Open-DiffLoco: Open-Source Differentiable Learning for Deployable Blind Quadruped Locomotion

    Aug 3, 2026Martin OpatDifferentiable Optimization

    University of Groningen, Netherlands

  19. StageGuard: Physiologically Constrained Sleep Staging

    Jul 25, 2026Juntang Wang, Yihan Wang, Hao Wu +3SleepPhysiological Data

    Zu Chongzhi Center, Duke Kunshan University Kunshan, China

  20. Differentiable Logic Programming to Mitigate Reasoning Shortcuts in Neurosymbolic Systems

    Jul 23, 2026Akihiro Takemura, Katsumi InoueNeuro-Symbolic FrameworkDifferentiable Logic Gate Networks

    National Institute of Informatics, Tokyo, Japan

  21. The Quadrilateral Loss: Additivity as a Measurable Behavior of Dense Neural Networks

    Jul 22, 2026Antonio Di CeccoRegularizationDifferentiable Optimization

    Universit`a "G. d'Annunzio" Chieti–Pescara, and School of AI.

  22. CoEvoP&R: Co-Evolving Placement Objectives with Routing Feedback via Large Language Models

    Jul 19, 2026Ruogu Chen, Weihua Xiao, Ramesh Karri +1Vehicle Routing ProblemOptimization Modeling

    University of Alberta Edmonton, Alberta, Canada · New York University New York, New York, United States

  23. Is Energy Guidance All You Need? Training-Free Norm Injection for Driving World Models

    Jul 12, 2026Xiyan Su, Frank Diermeyer, Markus LienkampVideo World ModelsWorld Models

    Institute of Automotive Technology, Technical University of Munich, Munich Germany

  24. Structure Learning on Clustered Data

    Jul 9, 2026Ryan Thompson, Matt P. Wand, Veerabhadran BaladandayuthapaniClusterClustering

    School of Mathematical and Physical Sciences University of Technology Sydney Ultimo, NSW 2007, Australia · Department of Biostatistics University of Michigan Ann Arbor, MI 48105, USA

  25. Diffeomorphic Optimization

    Jul 1, 2026Ludwig Winkler, Andrew Leaver-Fay, Joseph Kleinhenz +1Differentiable OptimizationProtein Design

    Microsoft Research AI4Science · Prescient Design, Genentech Roche

  26. Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork

    Jun 25, 2026Naoki Nishikawa, Shokichi Takakura, Satoshi HasegawaNeural Network TrainingStochastic Gradient Descent

    The University of Tokyo · LY Corporation

  27. Elastic ODYN: Differentiable Optimization for Infeasible Control and Learning in Robotics

    Jun 15, 2026Aristotelis Papatheodorou, Jose Rojas, Ioannis Havoutis +1Quadratic ProgramsOptimal Control

    Department of Engineering Science, University of Oxford, Oxford, UK · Robot Motor Intelligence (RoMI) Lab, Heriot-Watt University, Edinburgh, UK

  28. FastMix: Fast Data Mixture Optimization via Gradient Descent

    Jun 12, 2026Haoru Tan, Sitong Wu, Yanfeng Chen +5PretrainingEfficient Sequence Mixers

    University of Hong Kong · 2Hunyuan LLM, Tencent · 3Chinese University of Hong Kong

  29. Embedding Hybrid Systems into Continuous Latent Vector Fields

    Jun 9, 2026Sangli Teng, Hang Liu, Koushil SreenathNeural Ordinary Differential EquationsLatent Dynamics

    University of California, Berkeley, CA, USA · University of Michigan, Ann Arbor, MI, USA

  30. Compile Once, Differentiate Everywhere: A Differentiable Meta-Circular Interpreter

    Jun 7, 2026Lucas ShenemanDifferentiable OptimizationGradient-Based Optimization

    Institute for Interdisciplinary Data Sciences University of Idaho

  31. Beyond the Thin-Layer Limit: Differentiable Volumetric Training for Visible-Range Diffractive Neural Networks

    Jun 5, 2026Dineth Jayakody, Dushan N. WadduwageModern Deep NetworksDifferentiable Optimization

    Department of Computer Science, Old Dominion University, Norfolk, VA 23529, USA · School of Data Science, Old Dominion University, Norfolk, VA 23529, USA · Department of Physics, Old Dominion University, Norfolk, VA 23529, USA

  32. DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programming

    Jun 5, 2026Chee Wei Tan, Siya ChenDifferentiable OptimizationOptical Networks

    Nanyang Technological University, Singapore, Nanyang Ave., Singapore · Department of Computer Science, City University of Hong Kong, Hong Kong

  33. PIVOT: Bridging Black-Scholes Implied-Volatility and Price Objectives via Differentiable Jäckel Operator

    Jun 4, 2026Raeid Saqur, Yannick Limmer, Anastasis Kratsios +2Mathematical FinanceVolatility

    Mathematical Institute, University of Oxford · Vector Institute for AI · DRW +1

  34. DiffSlack: Learning under Nonlinear Inequality Constraints via Learnable Slack Variables

    Jun 3, 2026Ziqian Wang, Chenxi Fang, Zhen ZhangInequality ConstraintsDifferentiable Optimization

    State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing 100084, China · Beijing Key Laboratory of Transformative High-end Manufacturing Equipment and Technology, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China · Automotive Electronics Business Unit at Hirain Inc., China

  35. Building Generalization Into Behavior Generation Via Adaptive Compositions of Regularities

    May 29, 2026Aravind Battaje, Malte Bernhard, Vito Mengers +1Sensorimotor ExperienceRegularity

    Robotics and Biology Laboratory, Technische Universität Berlin, Germany · Science of Intelligence, Research Cluster of Excellence, Berlin, Germany · Robotics Institute Germany

  36. Learning Multi-Agent Coordination via Sheaf-ADMM

    May 29, 2026Jeffrey Seely, Bartłomiej Cupiał, Llion JonesMulti-Agent CoordinationAlternating Direction Method Of Multiplier

    Sakana AI, Tokyo, Japan · University of Warsaw · AKCES NCBR

  37. DisjunctiveNet: Neural Symbolic Learning via Differentiable Convexified Optimization Layers

    May 28, 2026Shraman Pal, Can LiNeuro-Symbolic FrameworkInequality Constraints

    Davidson School of Chemical Engineering, Purdue University, West Lafayette, USA.

  38. From Accounting to Coordination: A Virtual Water-Aware Electricity-Computation-Water Nexus Framework for Data Center Dispatch

    May 25, 2026Haiyang You, Chengwei Lou, Jin Zhao +3Data CentersOptimal Power Flow

  39. DTO: a Differentiable Training Objective for Effective Counterfactual Story Rewriting

    May 24, 2026Amelia Girard, Massimo PiccardiRewriteNarratives

    University of Technology Sydney, Sydney, NSW 2007, Australia

  40. The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning

    May 21, 2026Lucas ShenemanPytorchNeural Network

    Institute for Interdisciplinary Data Sciences University of Idaho

  41. Dynamic Model Merging Made Slim

    May 17, 2026Guodong Du, Wanyu LinContinual Model MergingMixture-Of-Experts Architectures

    The Hong Kong Polytechnic University

  42. Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning

    May 16, 2026David Troxell, Noah Roemer, Guido MontúfarDifferentiable OptimizationAlgorithmic Fairness

    Department of Statistics & Data Science, University of California, Los Angeles, USA · Department of Mathematics, University of California, Los Angeles, USA · Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany

  43. Layer-wise Derivative Controlled Networks

    May 14, 2026Rowan Martnishn, Sean AndersonDifferentiable OptimizationRegularization

    1Sentivity AI · 2Virginia Tech

  44. Quantitative Linear Logic for Neuro-Symbolic Learning and Verification

    May 13, 2026Thomas Flinkow, Ekaterina Komendantskaya, Matteo Capucci +1Neuro-Symbolic FrameworkDifferentiable Logic Gate Networks

    Maynooth University, Maynooth, IE · University of Southampton, Southampton, UK · University of Strathclyde, Glasgow, UK +1

  45. DP-KFC: Data-Free Preconditioning for Privacy-Preserving Deep Learning

    May 13, 2026Marc Molina Van den Bosch, Riccardo Taiello, Albert Sund Aillet +3Spectral PreconditioningFisher Information Matrix

    CERN, Geneva, Switzerland · BCN MedTech, Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain · ICREA, Barcelona, Spain

  46. Differentiable Learning of Lifted Action Schemas for Classical Planning

    May 13, 2026Jonas Reiter, Jakob Elias Gebler, Hector GeffnerClassical PlanningMarkov Decision Processes

    RWTH Aachen University

  47. Approximation-Free Differentiable Oblique Decision Trees

    May 8, 2026Subrat Prasad Panda, Blaise Genest, Arvind EaswaranDifferentiable OptimizationDecision Trees

    College of Computing and Data Science Nanyang Technological University Singapore

  48. GC-ART: Global Learnable Second-Order Rational Tone Curves for Illumination Robustness

    May 8, 2026Wei Huang, Joyce HuangImage ClassificationIllumination Variations

    1Microsoft · 2Massachusetts Institute of Technology

  49. Differentiable Parameter Optimization for DAEs with State-Dependent Events

    May 6, 2026Ion Matei, Maksym Zhenirovskyy, Anthony WongDifferentiable OptimizationOrdinary Differential Equations

    Fujitsu Research of America

  50. Differentiable Optimization Layered Safety-Critical Control for Risk-Aware Navigation via Conformal Prediction

    May 5, 2026Jinyang Dong, Shizhen Wu, Yongchun FangObstacle AvoidanceRobust Trajectory

    Institute of Robotics and Automatic Information Systems, College of Artificial Intelligence, Nankai University, Tianjin 300071, China · Academy for Advanced Interdisciplinary Studies, Nankai University, Tianjin 300071, China · Institute of Intelligence Technology and Robotic Systems, Shenzhen Research Institute of Nankai University, Shenzhen 518083, China

  51. Differentiable Kernel Ridge Regression for Deep Learning Pipelines

    May 4, 2026Jean-Marc Mercier, Gabriele SantinKernel Ridge RegressionKernel Method

    1MPG-Partners, Paris, France · Department of Environmental Sciences, Informatics and Statistics, Ca’ Foscari University of Venice, Italy

  52. Learning Dynamic Evidence Routes for Vision Transformer Probing

    Apr 29, 2026Zice Wang, Zhenyu ZhangLong Visual-Token SequencesVision State Space Models

    School of Future Technology Northeastern University Hunnan Campus, Shenyang, China

  53. A Differentiable Framework for Global Circulation Model Precipitation Bias Correction

    Apr 24, 2026Kamlesh Sawadekar, Seth McGinnis, Peijun Li +2Global Climate ModelsRainfall

    Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, Pennsylvania · Computational & Information Systems Laboratory, National Center for Atmospheric Research, Boulder, Colorado 80307

  54. BOOOM: Loss-Function-Agnostic Black-Box Optimization over Orthonormal Manifolds for Machine Learning and Statistical Inference

    Apr 23, 2026Beomchang Kim, Subhrajyoty Roy, Priyam DasRiemannian OptimizationBlack-Box Optimization

    Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA · Department of Statistics and Data Science, Washington University in St. Louis,[math.OC] St. Louis, MO, USA

  55. Improving Performance in Classification Tasks with LCEN and the Weighted Focal Differentiable MCC Loss

    Apr 23, 2026Pedro Seber, Richard D. BraatzFeature SelectionLoss Function

    Department of Chemical Engineering Massachusetts Institute of Technology

  56. Differentiable Conformal Training for LLM Reasoning Factuality

    Apr 22, 2026Nathan Hittesdorf, Marco Salzetta, Lu ChengLLM Reasoning StrategiesHallucination Rate

    Department of Computer Science, University of Illinois at Chicago, Chicago, United States · Department of Physics, University of Illinois at Urbana-Champaign, Urbana, United States

  57. Learning to Optimize by Differentiable Programming

    Jan 23, 2026Liping Tao, Xindi Tong, Chee Wei TanDifferentiable OptimizationPrimal-Dual Methods

    Nanyang Technological University, Singapore · Nanyang Technological University, Singapore, Singapore

  58. Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization

    Oct 10, 2025Simon Idoko, Prajyot Jadhav, Arun Kumar SinghMulti-Robot Motion PlanningRobust Trajectory

    All authors are with the University of Tartu, Estonia.

  59. Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport

    Sep 2, 2025Samuel Boïté, Eloi Tanguy, Julie Delon +2Expectation-MaximizationWasserstein Distance

    Université Paris Cité, CNRS, MAP5, F-75006 Paris, France · Centre Borelli, CNRS and ENS Paris-Saclay, F-91190 Gif-sur-Yvette, France · CMAP, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris

  60. Learning Interpretable Differentiable Logic Networks for Time-Series Classification

    Aug 24, 2025Chang Yue, Niraj K. JhaDifferentiable Logic Gate NetworksTime-Series Classification

    Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544, USA