Neural ODEs

ODE: Ordinary Differential Equation

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3 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. Safe-by-Design Learning via Energy-based Neural Networks

    Sep 29, 2026Simone Betteti, Morteza Lahijanian, Luca LaurentiSafety-Critical ControlControl Barrier Functions

    RIAS Lab The Italian Institute of Artificial Intelligence for Industry Torino, 10129, ITA · RECUV University of Colorado Boulder Boulder, CO 80303, USA · Delft Center for Systems and Control, TU Delft, Delft, 2600 AA, The Netherlands

  2. Continuous-Time Machine Learning: A Unified Mathematical Perspective

    Sep 15, 2026Waleed Razzaq, Yun-Sheng Zhao, Yun-Bo ZhaoDynamical SystemsNeural ODEs

    School of Automation University of Science and Technology of China Hefei, Anhui

  3. Continuous Learning of Gravity Field Irregularities Around Small Bodies via Neural Hamiltonian ODEs

    Sep 14, 2026Giacomo Acciarini, Dario IzzoDynamical SystemsHamiltonian Neural Networks

    Advanced Concepts Team, European Space Agency, ESTEC, Noordwijk, The Netherlands

  4. Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations

    Aug 13, 2026Berk Hadzhamolla, Alexander Johannes Stasik, Signe Riemer-SørensenPhysics-Informed MLNeural ODEs

    University of Oslo, Oslo, 0316, Norway · 2,3 SINTEF AS, Department of Mathematics and Cybernetics, Oslo, Norway · Department of Data Science, Norwegian University of Life Sciences, ˚As, Norway

  5. Long-Time Trajectory Approximation via SA-NODEs: Model Predictive and Floquet Strategies

    Aug 11, 2026Ziqian Li, Nikolaos M. MatzakosDynamical SystemsNeural ODEs

    Chair for Dynamics, Control, Machine Learning and Numerics, Department of Mathematics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany · School of Pedagogical & Technological Education (ASPETE), Marousi Attikis, 151 22 Athens, Greece

  6. Flowing Through States: Neural ODE Regularization for Reinforcement Learning

    Aug 6, 2026Mohamed Ghanem, Bernd FinkbeinerLatent Dynamics ModelingRepresentation Learning for RL

    CISPA Helmholtz Center for Information Security · Technical University of Munich

  7. Training Crossroads for Recurrent Vision Transformers: Recurrence, Neural ODEs, and Deep Supervision

    Aug 5, 2026Grzegorz Gruszczynski, Pawel Olszowiec, Michal Byra +2Recurrent TransformersNeural ODEs

    Samsung AI Center, Warsaw, Poland · Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland

  8. Operator Neural Jump ODEs: L2L^2-optimal prediction in function spaces

    Jul 25, 2026Florian Krach, Oliver Löthgren, Josef TeichmannTime Series ForecastingNeural Network Approximation Theory

    Department of Mathematics ETH Zurich

  9. Multiplicity of Stable Attractors in Disordered Neural Models

    Jul 24, 2026Raffaele Marino, Roberto Livi, Antonio PolitiDynamical SystemsNeural ODEs

    Butterfly Decisions srl, Via dei Principati 74 - 84122 Salerno, Italy · University of Florence, Department of Physics and Astronomy, Via G. Sansone 1 - 50019 Sesto Fiorentino (FI), Italy and Istituto dei Sistemi Complessi, CNR, Via Madonna del Piano 10 – 50019 Sesto Fiorentino (FI), Italy · Istituto dei Sistemi Complessi, CNR, Via Madonna del Piano 10 – 50019 Sesto Fiorentino (FI), Italy and Institute of Pure and Applied Mathematics, Department of Physics, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom

  10. ODeform: Learning Continuous 4D Motion for Shape Deformation with Neural ODEs

    Jul 22, 2026Yordanka Velikova, Mahdi Saleh, Liming Kuang +1Neural ODEsDeformable Object Simulation

    Technical University of Munich · Munich Center for Machine Learning (MCML)

  11. FlowSonic: Stable Zero-Shot Music Editing via High-Order Trajectory Integration

    Jul 20, 2026Ali Boudaghi, Hadi ZareDiffusion Model InversionDiffusion Transformer

  12. Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls

    Jul 17, 2026Henrik Lange, Reik Thormann, Philipp BekemeyerGraph Neural NetworksPDE Surrogate Modeling

    German Aerospace Center (DLR), Lilienthalpl. 7, 38108 Brunswick, Germany · Airbus Operations, Airbus Allee 1, 28199 Bremen, Germany

  13. Spatial Transport of Integration Error in Generative ODEs

    Jul 17, 2026Songheng YinDiffusion Model SamplingFew-Step Diffusion Sampling

    Columbia University

  14. RTS Smoother-Guided Learning of Physics-Based Neural Differential Models

    Jul 16, 2026Ahmet Demirkaya, Georgios Stratis, Tales Imbiriba +2Dynamical SystemsParameter Estimation

    Department of Electrical and Computer Engineering Northeastern University · Department of Computer Science University of Massachusetts Boston · Emory University

  15. Advances in Neural Controlled Differential Equations

    Jul 6, 2026Benjamin WalkerNeural Controlled Differential EquationsNeural ODEs

    Balliol College, University of Oxford

  16. ENC-ODE: Event-level Neurodegenerative Modeling in Continuous Time with Neural ODEs

    Jun 29, 2026Yujee Song, Seunghun Baek, Guorong Wu +1Latent Dynamics ModelingLongitudinal EHR Modeling

    Pohang University of Science and Technology, Pohang, South Korea · University of North Carolina at Chapel Hill, Chapel Hill, USA

  17. RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs

    Jun 29, 2026Yeeun Seong, Doyi Kim, Minseok Seo +1Precipitation ForecastingTime Series Forecasting

    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

  18. Symplectic Neural Networks for learning Generalized Hamiltonians

    Jun 25, 2026Harsh Choudhary, Vyacheslav Kungurtsev, Chandan Gupta +2Dynamical SystemsHamiltonian Neural Networks

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

  19. A Latent ODE Approach to Spatiotemporal Modeling of Cine Cardiac MRI

    Jun 25, 2026David Brüggemann, Ekaterina Krymova, Firat Özdemir +6Latent Dynamics ModelingMedical Image Analysis

    Swiss Data Science Center, EPFL and ETH Zürich, Switzerland · Diagnostic and Interventional Radiology, University Hospital Zürich, Switzerland · Institute for Biomedical Engineering, University and ETH Zürich, Switzerland +2

  20. Zero-Shot Size Transfer for Neural ODEs on Sparse Random Graphs: Graphon Limits and Adjoint Convergence

    Jun 25, 2026Mingsong Yan, Zhida Wang, Sui TangOOD GeneralizationNeural ODEs

    Department of Mathematics, University of California, Santa Barbara, CA.

  21. Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting

    Jun 25, 2026Johnny Peng, Thanh Tung Khuat, Ellen Otte +2Irregular Time-Series ModelingTime Series Forecasting

    Complex Adaptive Systems Laboratory, The Data Science Institute, University of Technology Sydney, NSW 2007, Australia · CSL Innovation, Melbourne, VIC 3000, Australia

  22. Approximating velocity fields with planted attractors via Neural-ODEs for classification purposes

    Jun 22, 2026Feliciano Giuseppe Pacifico, Duccio Fanelli, Lorenzo Buffoni +3Dynamic Neural NetworksClassification

    Department of Informatics and Computer Science, University of Pisa, Italy · Department of Physics and Astronomy, University of Florence, Sesto Fiorentino, Italy · INFN, Italy

  23. Frequency-Domain Neural ODEs for Modeling Non-Linear Dynamical Systems

    Jun 20, 2026Mohammed Ashraf, Ayman A. El-BadawyFrequency-Domain Feature LearningNonlinear System Identification

    Department of Mechatronics Engineering, German University in Cairo, Cairo, Egypt

  24. INDEQS: Informed Neural controlled Differential EQuationS

    Jun 17, 2026Michael Detzel, Gabriel Nobis, Kristiyan Blagov +3Neural Controlled Differential EquationsSpatiotemporal Forecasting

    Fraunhofer Heinrich Hertz Institute · Technische Universität Berlin

  25. Learning Hybrid Biophysical Neuron Models with Neural ODEs

    Jun 15, 2026Jonas Beck, Michael Deistler, Dóra Viktória Molnár +2System IdentificationNeural ODEs

    Hertie Institute for AI in Brain Health, Tübingen, Germany · Tübingen AI Center, University of Tübingen, Tübingen, Germany · Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany +2

  26. TNODEV: Toolbox for Neural ODE Verification

    Jun 15, 2026Abdelrahman Sayed Sayed, Pierre-Jean Meyer, Mohamed GhazelNeural Network VerificationReachability Analysis

    Univ Gustave Eiffel, COSYS-ESTAS, F-59657 Villeneuve d’Ascq, France

  27. SciML in the Wild: A Diagnostic Study of When Structural Priors Help and When They Hurt

    Jun 15, 2026Vrishank Sai Anand, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar +2Time Series ForecastingScientific ML

    GEMS Modern Academy Dubai, United Arab Emirates · Vizuara AI Labs, Pune, India

  28. Learning Context-Aware Neural ODE Dynamics for Adaptive Robotic Control

    Jun 13, 2026Shao-Yi Yu, Jen-Wei Wang, Maya Horii +2Robot Dynamics IdentificationRobot Dynamics Learning

    Department of Mechanical Engineering, University of California, Berkeley, CA, USA · Aalto University and YaiYai Ltd, Finland

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

    Jun 9, 2026Zesheng Liu, Maryam RahnemoonfarNeural Surrogate ModelingLong-Term Time Series Forecasting

    Lehigh University · Bethlehem, Pennsylvania, USA

  30. Embedding Hybrid Systems into Continuous Latent Vector Fields

    Jun 9, 2026Sangli Teng, Hang Liu, Koushil SreenathLatent Dynamics ModelingSystem Identification

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