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7 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

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  1. MeshOctave: Vertex Split-and-Rewire Cascades for Native Mesh Generation

    Sep 30, 2026Junkai Lin, Tianhao Zhao, Hang Long +10Mesh GenerationMeshes

    Huazhong University of Science and Technology · Meshy AI · Independent Researcher +1

  2. Task-Aware Discretization of Differentiable Logic Gate Networks

    Sep 27, 2026Thore GerlachDifferentiable Logic Gate NetworksDifferentiable Optimization

    Independent Researcher

  3. M3^3P-R1: Reinforcement Learning for Large Language Model Guided Multi-Modal Motion Planning via MIP Code Generation

    Sep 16, 2026Xingpeng Sun, Zherong Pan, Kai Cheng +3Multimodal Action DistributionsMixed-Integer Programming

    Purdue University United States · LightSpeed Studios United States

  4. Where to Compute and How to Interact: Operator-Readable Adaptation with Gauge-Aware Transport

    Sep 14, 2026Zixuan Shen, Quanxu Wan, Bingchuan Wang +2Neural OperatorsDiscretization

    Central South University · Nanjing University

  5. Direct Topology Tracking in Continuous Implicit Models

    Sep 14, 2026Guanqun Ma, David Lenz, Kaiyuan Tang +4Neural RepresentationsTopology

    University of Utah · The Ohio State University

  6. Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment

    Sep 7, 2026Davide Staub, Ben MoseleyParametric Physics-Informed Neural NetworkFull Waveform Inversion

    Department of Mathematics, ETH Zürich

  7. A Systematic Analysis of Automatic Differentiation versus Discretization-based Constraints for Physics-Informed PDE Solvers

    Sep 7, 2026Xing Guo, Hongwei Tang, Zewei Meng +3Neural Partial Differential Equation SolversDiscretization

    School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China

  8. ADEx-FNO: A Unified Ambient-Domain Framework for Fourier Neural Operators on Varying Geometries

    Aug 9, 2026Roberto Nuca, Giovanni Testa, Luca Galimberti +1Fourier Neural OperatorsComputational Fluid Dynamic

    Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia · Dipartimento di Scienze e Tecnologie Aerospaziali, Politecnico di Milano, Milan, Italy · Physical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia

  9. Discretization and Statistical Consistency of Functional Flow Matching

    Aug 5, 2026Lennon J. ShikhmanConditional Flow MatchingDiscretization

    School of Computer Science, College of Computing Georgia Institute of Technology Atlanta, Georgia 30332, USA

  10. Neural Representation of Minimal Surfaces

    Jul 26, 2026Jiayin Sun, Albert ChernNeural RepresentationsNeural Fields

    University of Utah, USA · University of California San Diego, USA

  11. 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

  12. 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

  13. Quadrature-Aware Complex-Linear Neural Operator for Boundary-to-Field Prediction in Resonant Acoustics

    Jul 5, 2026Muhammad Idrees Khan, Hua-Dong YaoFourier Neural OperatorsBayesian Quadrature

    Department of Mechanical Engineering, Chalmers University of Technology Gothenburg 41296, Sweden

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

    Jul 5, 2026Shiheng ZhangAccelerated SamplingTime Discretization

    University of Washington

  15. SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision

    Jun 25, 2026Huipeng Guo, Zikai Song, Hang Long +7Mesh GenerationMeshes

    Huazhong University of Science and Technology

  16. Attention mechanism for scalable mesh-based neural surrogates of free-surface fluids

    Jun 22, 2026Federico Lanteri, Massimiliano CremonesiFluid DynamicsSurrogate Models

    Department of Civil and Environmental Engineering, Politecnico di Milano Piazza Leonardo da Vinci, 32, 20133, Milano, Italy

  17. Wasserstein Convergence of ODE-Based Samplers in Decentralized Diffusion Model via Velocity Field Decomposition

    Jun 14, 2026Chencheng Tang, Xuanyu Xue, Fangyikang Wang +2Diffusion SamplingAccelerated Sampling

    Peking University · Shanghai Jiao Tong University · MBZUAI +2

  18. SirenFNO: Efficient and Full Frequency Learning of Fourier Neural Operators

    Jun 9, 2026Pengqing Shi, Jie Yin, Stephen Tierney +1Fourier Neural OperatorsNeural Operators

    The University of Sydney, Australia

  19. ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation

    May 21, 2026Haoan Feng, Xin Xu, Leila De FlorianiDigital Elevation ModelsNeural Representations

    University of Maryland, College Park MD, USA

  20. Stability and Discretization Error of State Space Model Neural Operators

    May 17, 2026Abderrahim Bendahi, Adrien Fradin, Johan Peralez +2Neural OperatorsFourier Neural Operators

    École polytechnique Paris, France · Université Claude Bernard Lyon 1, CNRS, LAGEPP UMR 5007 Villeurbanne, France · CNRS, UniversitéJulieLyonDigne1, INSA Lyon, LIRIS Lyon, France +1

  21. VQ-Atom: Semantic Discretization of Local Atomic Environments for Molecular Representation Learning

    May 16, 2026Takayuki KimuraMolecular Representation LearningDiscretization

    Atoms as Language, LLC

  22. Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures

    May 15, 2026Lorenzo Baldassari, Josselin Garnier, Knut Solna +1Langevin DynamicsDiffusion Sampling

    University of Basel · Ecole Polytechnique, IP Paris · University of California Irvine +1

  23. State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives

    May 13, 2026Hoang-Son Tran, Pranav Gupta, Rémi Bardenet +1Determinantal Point ProcessSubsampling

    Department of Mathematics National University of Singapore · Univ. Lille, CNRS, Centrale Lille UMR 9189 – CRIStAL

  24. UFO: A Domain-Unification-Free Operator Framework for Generalized Operator Learning

    May 12, 2026Hanli Qiao, George Em Karniadakis, Muhammad MuniruzzamanNeural OperatorsProbabilistic Operator Learning

    Water and Mining Environment Unit, Geological Survey of Finland, Vuorimiehentie 5, Espoo, 02151, Finland · Division of Applied Mathematics, Brown University, 170 Hope Street, Providence, RI 02912, USA · Institute of Geosciences, University of Bonn, Kirschallee 1-3, Bonn, 53115, Germany

  25. NOFE - Neural Operator Function Embedding

    May 12, 2026Lars Uebbing, Harald L. Joakimsen, Siyan Chen +6Dimensionality ReductionFourier Neural Operators

    1UiT The Arctic University of Norway · 2Norwegian Computing Center · University of South Brittany +1

  26. M3^3: Reframing Training Measures for Discretized Physical Simulations

    May 9, 2026Yuan Mei, Xingyu Song, Xiaowen Song +1Surrogate ModelsPhysics Simulation

    1Zhejiang University · *Visiting student at The University of Tokyo from Zhejiang University. · 2The University of Tokyo

  27. Geometry-Aware Discretization Error of Diffusion Models

    May 8, 2026Samuel Hurault, Thomas Moreau, Gabriel PeyréDiffusion SamplingDiffusion Models

    Univ. Gustave Eiffel, CNRS, LIGM · Univ. Paris-Saclay, Inria, CEA · CNRS, ENS, PSL Université

  28. QuadNorm: Resolution-Robust Normalization for Neural Operators

    May 8, 2026Bum Jun Kim, Makoto Kawano, Yusuke Iwasawa +1Batch NormalizationNeural Operators

    The University of Tokyo, Japan

  29. Conditional Neural Field based Reduced Order Model for Dynamic Ditching Load Prediction

    May 5, 2026Henning Schwarz, Pyei Phyo Lin, Jens-Peter M. Zemke +1Computational Fluid DynamicNeural Fields

    Institute for Fluid Dynamics and Ship Theory, Hamburg University of Technology, Am Schwarzenberg-Campus 4, D-21073 Hamburg, Germany · Institute of Mathematics, Hamburg University of Technology, Am Schwarzenberg-Campus 3, D-21073 Hamburg, Germany

  30. GRIFDIR: Graph Resolution-Invariant FEM Diffusion Models in Function Spaces over Irregular Domains

    May 5, 2026James Rowbottom, Elizabeth L. Baker, Nick Huang +3Diffusion ModelsDiscretization

    Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK · Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark · Department of Mathematics, Simon Fraser University, Canada +1

  31. CRADIPOR: Crash Dispersion Predictor

    Apr 30, 2026Edgar Chaillou, Sebastian Rodriguez, Yves Tourbier +1CrashesDispersion

    PIMM, Arts et Métiers Institute of Technology, Paris, France · Renault Group, Guyancourt, France

  32. A Novel Computational Framework for Causal Inference: Tree-Based Discretization with ILP-Based Matching

    Apr 30, 2026Tianyu Yang, Md. Noor-E-AlamCausal InferencesDiscretization

    Department of Mechanical and Industrial Engineering Northeastern University, Boston, MA 02115, USA

  33. Beyond ZOH: Advanced Discretization Strategies for Vision Mamba

    Apr 22, 2026Fady Ibrahim, Guangjun Liu, Guanghui WangVision State Space ModelsVision Foundation Models

    Toronto Metropolitan University, 350 Victoria St, Toronto, ON M5B 2K3

  34. Spike-NVPT: Learning Robust Visual Prompts via Bio-Inspired Temporal Filtering and Discretization

    Apr 20, 2026Qiugang Zhan, Anning Jiang, Ran Tao +4Visual In-Context LearningSoft Prompt Tuning

    Complex Laboratory of New Finance and Economics, Southwestern University of Finance and Economics · Engineering Research Center of Intelligent Finance, Ministry of Education · School of Computer Science and Engineering, 4Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China +3

  35. Implicit neural representations as a coordinate-based framework for continuous environmental field reconstruction from sparse ecological observations

    Apr 20, 2026Agnieszka Pregowska, Hazem M. KalajiNeural FieldsDiscretization

    Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawinskiego 5B, Warsaw, 02-106, Poland · Department of Plant Physiology, Institute of Biology, Warsaw University of Life Science, 159 Nowoursynowska St, Warsaw, 02-776, Poland · Institute of Technology and Life Sciences Falenty, Al. Hrabska 3, Raszyn, 05-090, Poland

  36. A Randomized PDE Energy driven Iterative Framework for Efficient and Stable PDE Solutions

    Apr 17, 2026Yi Bing, Zheng Ran, Fu Jinyang +2Neural Partial Differential Equation SolversPartial Differential Equations

    School of Traffic and Transportation Engineering, Central South University, Changsha, China · School of Civil Engineering, Central South University, Changsha, China · National Engineering Research Center of High-speed Railway Construction Technology, Changsha, China +2

  37. Rigorous Error Certification for Neural PDE Solvers: From Empirical Residuals to Solution Guarantees

    Mar 19, 2026Amartya Mukherjee, Maxwell Fitzsimmons, David C. Del Rey Fernández +1Neural Partial Differential Equation SolversNeural Approximations

    Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada

  38. Coarsening Bias from Variable Discretization in Causal Functionals

    Feb 25, 2026Xiaxian Ou, Razieh NabiDiscretizationCoarse

    Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, U.S.A.

  39. Transport-Coupled Bayesian Flows for Molecular Graph Generation

    Oct 11, 2025Yida Xiong, Jiameng Chen, Kun Li +4Molecular GenerationPhysics-Guided Diffusion

    School of Computer Science, Wuhan University, Wuhan, China · Wuhan University Shenzhen Research Institute, Shenzhen, China

  40. Discretization-independent operator learning for partial differential equations

    Jul 9, 2025Jacob Hauck, Yanzhi ZhangProbabilistic Operator LearningDiscretization

    Department of Mathematics and Statistics, Missouri University of Science and Technology, Rolla, MO 65409

  41. Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning

    Feb 2, 2025Zeyu Jiang, Hai Huang, Xingquan ZuoInterpretabilityNeurons

    School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

  42. Autoencoders in Function Space

    Aug 2, 2024Justin Bunker, Mark Girolami, Hefin Lambley +2Conditional Variational AutoencoderAutoencoder Architectures

    Department of Engineering University of Cambridge Cambridge, CB2 1TN, United Kingdom · Department of Engineering, University of Cambridge · and Alan Turing Institute +3