Latent Transport

Ask about this topic

Momentum

9 papers in the last four weeks, up 200% on the four weeks before. 0.1% of all new papers.

Jul 6Week of Sep 21
View on map

Latest papers 50

All topics
CardsList

  1. Wasserstein Gradient Flows and Forward-Only Diffusion Are Not Enough for Multimodal Sampling

    Oct 1, 2026Daniel McBride, Pratik Khandagale, Cristina Garcia-Cardona +1Wasserstein Gradient FlowsLatent Transport

    Los Alamos National Laboratory, Los Alamos, NM 87545, USA

  2. H-SPAR: Hydrodynamic-aware Simulation for Particle Transport and Autonomous Robots

    Oct 1, 2026Navid Zarrabi, Nariman Yousefi, Sajad SaeediFluid DynamicsRobot Navigation

    Department of Mechanical, Industrial, and Mechatronics Engineering, Toronto Metropolitan University, Toronto, Ontario, Canada. · Department of Chemical Engineering, Toronto Metropolitan University, Toronto, Ontario, Canada. · Department of Computer Science, University College London, London, United Kingdom.

  3. PTNO: Training Neural Operators with Noisy Monte Carlo Estimates for Particle Transport Problems

    Sep 30, 2026Yubo Cao, Xi Deng, Mengqi Xia +3Neural OperatorsLatent Transport

    California Institute of Technology · Yale University · UK Atomic Energy Authority +1

  4. Stable Transformers for Graph Generation

    Sep 30, 2026Luca Miglior, Alessio Gravina, Davide BacciuMultiplex Graph TransformersGenerative Models

    Department of Computer Science, University of Pisa, Italy

  5. Fast and Scalable Multi-Agent Distribution Matching via Partitioned Optimal Transport

    Sep 30, 2026Kooktae Lee, Ruchika SinghDistribution MatchingLatent Transport

    Department of Mechanical and Aerospace Engineering, Texas Tech University, Lubbock, TX 79409, USA

  6. PI-NOMT: Physics-Informed Neural Optimal Mass Transport for Brain Fluid Dynamics

    Sep 27, 2026Mehmet Emin Acar, Vahit Bugra Yesilkaynak, Helene Benveniste +1Latent TransportBayesian Inverse Problems

    Istanbul Technical University, Faculty of Computer and Informatics Engineering, AI and Data Engineering Department, Istanbul, Turkiye · Yale University, School of Medicine, New Haven, CT, USA

  7. Discrete Beckmann Transport Models for One-Step Language Modeling and Reasoning

    Sep 14, 2026Sophia Tang, Shiyi WangDiffusion Language ModelsAutoregressive Language Models

    University of Pennsylvania · Harvard University · Kempner Institute +1

  8. Physics-Informed Neural Networks to Infer the Perpendicular Energy Conductivity in the Scrape-Off Layer of Stellarator Devices

    Sep 12, 2026J. Gallego (Departamento de Tecnología, CIEMAT, Spain) +23Parametric Physics-Informed Neural NetworkLatent Transport

    Departamento de Tecnología, CIEMAT, Spain. · Harvard John A. Paulson School of Engineering and Applied Sciences, USA. · Laboratorio Nacional de Fusión, CIEMAT, Spain.

  9. ParetoTransport: Generative Optimization by Mass Transport Toward The Pareto Front

    Sep 7, 2026Stephanie Holly, Sepp Hochreiter, Werner ZellingerMulti-Objective OptimizationPareto Frontier

    LIT AI Lab and Institute for Machine Learning JKU Linz, Austria

  10. Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental Data

    Sep 3, 2026Arthur Jessop, Mohammed Alsubeihi, Ben Moseley +1Chemical Process SystemsLatent Transport

    Department of Chemical Engineering, The University of Manchester, Manchester, M13 9PL, United Kingdom. · Department of Earth Science and Engineering, Imperial College London, South Kensington, SW7 2BX, United Kingdom. · I-X Centre for AI in Science, Imperial College London, South Kensington, SW7 2BX, United Kingdom.

  11. Mesh-Native Physics-Informed Graph Surrogates for TCAD-in-the-Loop Design Space Exploration

    Sep 2, 2026Leonid Popryho, Ayoub Sadeghi, Inna Partin-VaisbandMachine Learning SurrogatesLatent Transport

    University of Illinois Chicago · Chicago, IL, USA

  12. Physics-Informed Neural Network Surrogate for Oxygen Vacancy Dynamics in epitaxial SrTiO3\mathrm{SrTiO_3} on Si memristors via Dynamic Spectral Optimization

    Sep 2, 2026Rodion Podorozhny, Nikoleta Theodoropoulou, Jelena TešićReram CrossbarParametric Physics-Informed Neural Network

    Dept. of Computer Science, Texas State University, San Marcos, TX, USA · Dept. of Physics, Texas State University, San Marcos, TX, USA

  13. Generative Diffusion Surrogates with Analytical Variance Schedule

    Sep 1, 2026Patrick Reichherzer, Gianluca Gregori, David N. Hosking +1Diffusion DynamicsDiffusion Models

    Department of Physics, University of Oxford, Oxford OX1 3PU, UK. · Department of Astrophysical Sciences, Princeton University, Princeton NJ 08544, USA. · Max Planck Institute for Security and Privacy, Bochum 44799, Germany. +2

  14. A Lagrangian View of Flow Matching

    Aug 31, 2026Peyman MilanfarLatent TransportGenerative Models

    1Google

  15. Data-Driven Design Optimization of Streaming-Potential-Mediated Electrokinetic Transport of Viscoelastic Fluids in Microchannels

    Aug 30, 2026Ankan Basu, Sumanta BanerjeeFluid ControlsLatent Transport

    Department of Computer Science and Engineering, Jadavpur University, Kolkata, India. · 2*Department of Mechanical Engineering, Heritage Institute ofAug Technology, Kolkata, India.

  16. Hidden Gauge Controls Feature Specialization in ReLU Networks

    Aug 7, 2026Tongxi WangFeature LearningRectified Linear Unit Networks

    School of Future Technology Southeast University Nanjing, China

  17. Beckmann Transport Models: From Autonomous Flows to One-Step Maps

    Aug 3, 2026Lee Cheuk-Kit, Florentin Coeurdoux, Yuyuan Chen +5Generative Flow NetworksLatent Transport

    1Harvard University · 2Capital Fund Management · University of Pennsylvania +2

  18. Dense Temporal Contrast Synthesis via Conditioned Latent Transport

    Jul 31, 2026Smriti Joshi, Apostolia Tsirikoglou, Daniel M. Lang +15Magnetic Resonance ImagingAdaptive Histogram Equalization

    Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, Spain · Department of Oncology-Pathology, Karolinska Institutet, SE-171 77, Stockholm, Sweden · Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, Munich, Germany +9

  19. Representations from Pretrained Machine-Learning Interatomic Potentials as Coarse Coordinates for Material Generation and Evaluation

    Jul 30, 2026Paul Hagemann, Katharina Ueltzen, Simon Müller +2Crystal StructureInteratomic Potentials

  20. Field Codes for Distributed Coupling Samplers and Certified Empirical Transport

    Jul 29, 2026Hung Mai, Hai Nguyen, Luong Doan +4Optimal Transport ApproachAccelerated Sampling

    1B0Labs, N2TP Technology · 3Nanyang Technological University · 4Phenikaa University, Vietnam

  21. Cumsum-Composable Phase Transport for Low-Cost Streaming Keyword Spotting

    Jul 22, 2026Mahesh GodavartiKeyword SpottingStreaming

    A Carrot, Inc

  22. FlowPET: Physics-Informed Symplectic Flow Matching for Low-Count PET Reconstruction

    Jul 13, 2026Zheng Zhang, Hao Tang, Yingying Hu +2Positron Emission TomographyRiemannian Flow Matching

    Centre for Smart Health, The Hong Kong Polytechnic University, Hong Kong, China · Department of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China · Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

  23. PHITSBench: an execution-scored benchmark for AI-assisted PHITS radiation-transport input generation using natural language

    Jul 8, 2026Xianglin Ji, Svetlana V. BoriskinaData Generation PipelinesReproducibility

    Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

  24. Physics-guided spatiotemporal neural models for fuel density prediction

    Jul 8, 2026Tolga Caglar, Jaynil Jaiswal, Saqib Azim +3Physics-Guided Machine LearningWildfire Prediction

    San Diego Supercomputer Center University of California, San Diego

  25. Signed-Permutation Coordinate Transport for RMSNorm Transformers

    Jun 30, 2026John SweeneyBatch NormalizationTransformer Architectures

    Sideplane AI

  26. Do Not Break the Vessels: Structure-Preserving Mean Flow for Vascular Image Translation

    Jun 30, 2026Changjin Sun, Zhuo Hu, Kaini Wang +6Latent TransportMeanflow

    School of Biological Science and Medical Engineering, Southeast University, Nanjing, China · School of Computer Science and Engineering, Southeast University, Nanjing, China · Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China +2

  27. Multi-Level Resistive Synapses for On-Chip Neural Networks: A Physics-Based Design of a Memristive Crossbar Fabric with Quasi-Continuous Conductance States

    Jun 21, 2026David Alejandro Trejo PizzoReram CrossbarNeuromorphic Computing

    Independent researcher.

  28. DreamUV: Unwrap Artist-like UV by End-to-End Flow Matching

    Jun 21, 2026Quanyuan Ruan, Jiabao Lei, Xingyi Du +1LayoutsDeformable Cnn

    South China University of Technology · School of Data Science, The Chinese University of Hong Kong, Shenzhen · Lightspeed

  29. Intrinsic Flow Matching on Quantum Pure-State Manifolds with Phase-Aligned Transport

    Jun 19, 2026Jian Xu, Delu Zeng, John Paisley +1Conditional Flow MatchingLatent Transport

    RIKEN iTHEMS · RIKEN AIP · South China University of Technology +1

  30. First-Order Trajectory Matching: Fast Ensemble Predictions of Chaotic, Turbulent, Stochastic Systems

    Jun 9, 2026Shreya Jha, Timo Schorlepp, Nicholas Geissler +2Stochastic DynamicsSingle Trajectory

    Courant Institute of Mathematical Sciences, New York University

  31. Temporal Sheaf Neural Networks with Dynamic Orthogonal Transport

    Jun 8, 2026Md Sadek Hossain Asif, Tanzila Khan, Md. Mosaddek KhanTemporal Graph Neural NetworksSheaf Neural Networks

    University of Dhaka

  32. Geodesic Flow Matching on a Riemannian Degradation Manifold for Blind Image Restoration

    Jun 4, 2026Akshay Janardan Bankar, Ankita Chatterjee, Sayan Banerjee +3Riemannian Flow MatchingImage Restoration

    Samsung Research Institute, Bangalore, India

  33. S2M-Trek: From Single to Multi-Sphere Transport via Per-Frame Deep Sets on a Wheel-Legged Robot

    May 31, 2026Zong Chen, Xuebin Li, Jinpeng Xiao +5Humanoid Loco-ManipulationLegged Robots

    School of Mechanical Science and Engineering, Huazhong University of Science and Technology · School of Mathematics, Harbin Institute of Technology

  34. Learning effective Sargassum transport dynamics from limited drifter observations

    May 28, 2026F. J. Beron-VEra, M. J. Olascoaga, J. Morell +1Latent TransportLagrangian Methods

    Department of Atmospheric Sciences Rosenstiel School of Marine, Atmospheric, and Earth Science University of Miami Miami, Florida, USA · Department of Ocean Sciences Rosenstiel School of Marine, Atmospheric, and Earth Science University of Miami Miami, Florida, USA · Department of Marine Sciences University of Puerto Rico Mayagüez, Puerto Rico

  35. Open Multimodal Datasets and Open-Source Software for Data-Driven Modeling of Multiphase Transport and Thermal Systems

    May 21, 2026Christy Dunlap, Hari Pandey, Stephen Pierson +6Multimodal DatasetData-Driven

    Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR 72701, USA

  36. From Mean-Field Limits to Semiclassical Concentration: Global Convergence of the Canonical Evolutionary Strategy

    May 19, 2026Matías Neto, Nicolás Garay, Luis Martí +1Evolutionary OptimizationConvergence

    Inria Chile Research Center, Av Apoquindo 2827, Las Condes, RM, Chile · Departamento de Ingeniería Matemática, Universidad de Chile, Santiago, Chile

  37. PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference

    May 18, 2026Chenglei Yu, Chuanrui Wang, Bangyan Liao +1Latent TransportMissing Bridge

    Zhejiang University · Department of Artificial Intelligence, School of Engineering, Westlake University

  38. SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation

    May 18, 2026Longtao Jiang, Jianmin Bao, Zhendong Wang +4Normalizing FlowsMulti-Reference Image Generation

    University of Science and Technology of China · Kling Team, Kuaishou Technology

  39. Eradicating Negative Transfer in Multi-Physics Foundation Models via Sparse Mixture-of-Experts Routing

    May 14, 2026Ellwil Sharma, Arastu SharmaLatent TransportWireless Foundation Models

    Shodh AI

  40. Path-independent Flow Matching for Multi-parameter Generative Dynamics

    May 13, 2026Francisco Téllez, AmirHossein Zamani, Philippe Martin +5Conditional Flow MatchingLatent Transport

    Université de Montréal, Mila · Concordia University, Mila · Concordia University +2

  41. 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

  42. Teaching Molecular Dynamics to a Non-Autoregressive Ionic Transport Predictor

    May 10, 2026Jiyeon Kim, Byungju Lee, Won-Yong ShinMolecular DynamicsLatent Transport

    School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea · Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea · Nanoscience and Technology, KIST School, University of Science and Technology, Seoul, Republic of Korea

  43. Data-driven transport modelling without overfit

    May 9, 2026Peter Vanya, Katarína Šimková, Rastislav FarkašTransportData-Driven

    Sev.en Global Investments, V Celnici 4, 11000 Prague, Czechia · Vrije Universiteit Brussels, Brussels, Belgium · Universit´e Libre de Bruxelles, Brussels, Belgium +1

  44. Entropic Riemannian Neural Optimal Transport

    May 5, 2026Alessandro Micheli, Silvia Sapora, Anthea Monod +1Differentiable Optimal TransportKullback-Leibler Regularization

    Imperial College London London, UK · University of Oxford Oxford, UK · Statens Serum Institut Copenhagen, Denmark +1

  45. A Few-Step Generative Model on Cumulative Flow Maps

    May 5, 2026Zhiqi Li, Duowen Chen, Yuchen Sun +1Flow MapFlow Models

    Georgia Institute of Technology, Atlanta, United States of America

  46. Geometry-free prediction of inertial lift forces in microfluidic devices using deep learning

    Apr 27, 2026Jesse Ward-Bond, Ali Mashadian, Timothy C. Y. Chan +1Fluid ControlsLatent Transport

    aDepartment of Mechanical & Industrial Engineering, University of Toronto · bMechanical Engineering, Purdue University · cDepartment of Materials Science & Engineering, University of Toronto +1

  47. Integrated packing, placement, scheduling, and routing of personalized production: a pharmaceutical Industry 4.0 use-case with a planar transport system

    Apr 22, 2026Viktor Emil Korladinov, Antonin Novak, Zdeněk Hanzálek +2Job Shop SchedulingLogistics

    Faculty of Electrical Engineering, Czech Technical University in Prague, Karlovo Náměstí 13, 120 00, Prague 2, CZ · Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Jugoslávských partyzánů 1580/3, 160 00, Prague 6, CZ · Department of Chemical Engineering, University of Chemistry and Technology, Technická 3, 166 28, Prague, CZ

  48. Collective Kernel EFT for Pre-activation ResNets

    Apr 17, 2026Hidetoshi Kawase, Toshihiro OtaResidual NetworksRenormalization Group

    CyberAgent, Inc., Shibuya, Tokyo 150–6121 Japan

  49. One-Shot Generative Flows: Existence and Obstructions

    Apr 16, 2026Panos Tsimpos, Daniel Sharp, Youssef MarzoukInvertible FlowsVelocity Field

    Operations Research Center · Massachusetts Institute of Technology · Cambridge, MA 02139 +2

  50. SCALE:Scalable Conditional Atlas-Level Endpoint transport for virtual cell perturbation prediction

    Mar 18, 2026Shuizhou Chen, Lang Yu, Xueqin Lin +12Single-Cell Perturbation PredictionCohort

    1Shanghai Artificial Intelligence Laboratory