Neural Ordinary Differential Equations

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Period ending 2026-09-21

3 new papers

A weekly snapshot of new work published in Neural Ordinary Differential Equations.

Period ending 2026-09-07

1 new paper

A weekly snapshot of new work published in Neural Ordinary Differential Equations.

89 papers

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  1. MGRD: Compact morphology-gated residual diffusion for variance-aware cross-domain neurite forecasting

    Sep 21, 2026Tsung Yeh Hsieh, Cosmin Anitescu, Chunghwan Kim +2Neural Ordinary Differential Equations

  2. Conservation Buys Stability and Factoring Buys Counterfactuals in Physical World Models

    Sep 17, 2026Yufeng Wang, Parivesh Priye, Lu Wei +1Counterfactual ReasoningWorld Models

  3. Deep learning emergent spacetime from fermionic spectral functions in holography

    Sep 16, 2026Koji Hashimoto, Hyun-Sik Jeong, Keun-Young Kim +2Holographic Reduced RepresentationsQuantum Topological Phases

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

    Sep 14, 2026Giacomo Acciarini, Dario IzzoNear-Earth ObjectsHamiltonian

  5. Learning Informative Prior with Infinite-Dimensional Continuous Normalizing Flow for Bayesian Inverse Problem

    Sep 3, 2026Yang Zhao, Junxiong Jia, Tao ZhouIll-Posed Inverse ProblemNormalizing Flows

  6. Neural ODE enhanced linear mixed effect models for estimating complex association patterns of time-varying covariates with the marker trajectory

    Aug 30, 2026Zhe Aurore Li, Quentin Clairon, Cécilia Samieri +3Neural Ordinary Differential EquationsCovariate Shift

  7. LLMODE: Aligning ODEs with LLMs via Gated Token Injection for Irregular Spatio-Temporal Forecasting

    Aug 30, 2026Di Zhang, Jingyang Zhang, Ziqian Wang +4Spatio-Temporal ForecastingLatent Trajectories

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

    Aug 13, 2026Berk Hadzhamolla, Alexander Johannes Stasik, Signe Riemer-SørensenUnified TransformerNeural Ordinary Differential Equations

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

    Aug 11, 2026Ziqian Li, Nikolaos M. MatzakosNeural Ordinary Differential EquationsNeural-Network Approximation

  10. MGMCL: Multi-Granularity Manifold Contrastive Learning With Neural ODEs for Cross-Subject EEG Emotion Recognition

    Aug 9, 2026Xiang XieEmotion RecognitionValence-Arousal Estimation

  11. Predicting blood clot growth from sparse post-onset measurements with latent neural differential equations

    Aug 8, 2026Lennon J. Shikhman, Ying Qian, He LiNeural Ordinary Differential EquationsLogistic Regression

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

    Aug 6, 2026Mohamed Ghanem, Bernd FinkbeinerNeural Ordinary Differential EquationsLatent Dynamics

  13. Certified Feedforward Tracking for Unknown Nonlinear Systems via Invertible Neural Networks

    Aug 5, 2026Berk Altiner, Rajasree Sarkar, Arunava Banerjee +2Neural Ordinary Differential EquationsInverse Dynamics

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

    Aug 5, 2026Grzegorz Gruszczynski, Pawel Olszowiec, Michal Byra +2Self-Supervised Vision TransformersVision Transformer

  15. HyperODE: Zero-Shot Surrogate for Simulation and Inference of Dynamical Systems

    Aug 1, 2026Ajitesh SrivastavaNeural Ordinary Differential EquationsSurrogate Models

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

    Jul 25, 2026Florian Krach, Oliver Löthgren, Josef TeichmannNeural Ordinary Differential EquationsNeural-Network Approximation

  17. Multiplicity of Stable Attractors in Disordered Neural Models

    Jul 24, 2026Raffaele Marino, Roberto Livi, Antonio PolitiAttractorsNeural Ordinary Differential Equations

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

    Jul 22, 2026Yordanka Velikova, Mahdi Saleh, Liming Kuang +1Deformable ObjectsDeformable

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

    Jul 17, 2026Henrik Lange, Reik Thormann, Philipp BekemeyerAerodynamicsComputational Fluid Dynamic

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

    Jul 16, 2026Ahmet Demirkaya, Georgios Stratis, Tales Imbiriba +2Neural Ordinary Differential EquationsOrdinary Differential Equations

  21. Advances in Neural Controlled Differential Equations

    Jul 6, 2026Benjamin WalkerNeural Ordinary Differential EquationsNeural Control

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

    Jun 29, 2026Yujee Song, Seunghun Baek, Guorong Wu +1Neural Ordinary Differential EquationsAlzheimer

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

    Jun 29, 2026Yeeun Seong, Doyi Kim, Minseok Seo +1PrecipitationSpatio-Temporal Forecasting

  24. Symplectic Neural Networks for learning Generalized Hamiltonians

    Jun 25, 2026Harsh Choudhary, Vyacheslav Kungurtsev, Chandan Gupta +2HamiltonianNeural Ordinary Differential Equations

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

    Jun 25, 2026Mingsong Yan, Zhida Wang, Sui TangNeural Ordinary Differential EquationsGraph Neural Networks

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

    Jun 25, 2026Johnny Peng, Thanh Tung Khuat, Ellen Otte +2RamanNeural Ordinary Differential Equations

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

    Jun 22, 2026Feliciano Giuseppe Pacifico, Duccio Fanelli, Lorenzo Buffoni +3Neural Ordinary Differential EquationsAttractors

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

    Jun 20, 2026Mohammed Ashraf, Ayman A. El-BadawyNeural Ordinary Differential EquationsNonlinear Dynamics

  29. Continuous-Time Probabilistic Correctors for Uncertainty-Aware Physics-Based Spacecraft Trajectory Forecasting

    Jun 19, 2026Muhammad Bilal Shahid, Zhanhong Jiang, Soumik Sarkar +1Predictive UncertaintyTrajectory Prediction

  30. INDEQS: Informed Neural controlled Differential EQuationS

    Jun 17, 2026Michael Detzel, Gabriel Nobis, Kristiyan Blagov +3Neural Ordinary Differential EquationsFundamental Hydrological Principles

  31. Neural dynamical systems on ferroelectric compute-in-memory for real-time forecasting

    Jun 15, 2026Keshava Katti, Adithya Selvakumar, Pratik Chaudhari +1Neuromorphic HardwareIn-Memory Computing

  32. Learning Hybrid Biophysical Neuron Models with Neural ODEs

    Jun 15, 2026Jonas Beck, Michael Deistler, Dóra Viktória Molnár +2Neural Ordinary Differential EquationsDynamics Models

  33. TNODEV: Toolbox for Neural ODE Verification

    Jun 15, 2026Abdelrahman Sayed Sayed, Pierre-Jean Meyer, Mohamed GhazelNeural Network VerificationNeural Ordinary Differential Equations

  34. 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 +2Prior KnowledgeMachine Learning

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

    Jun 13, 2026Shao-Yi Yu, Jen-Wei Wang, Maya Horii +2Model Predictive ControlNeural Ordinary Differential Equations

  36. Hierarchical ODE: Learning Continuous-Time Physical Prototypes for Early Link Failure Detection

    Jun 12, 2026Jiaen Lv, Leran Qi, Shaowei WangNeural Ordinary Differential EquationsEarly Failure Prediction

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

    Jun 9, 2026Zesheng Liu, Maryam RahnemoonfarNeural Ordinary Differential EquationsGlobal Climate Models

  38. Embedding Hybrid Systems into Continuous Latent Vector Fields

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

  39. From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models

    Jun 8, 2026Conor RowanNeural OperatorsNeural Ordinary Differential Equations

  40. Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction

    Jun 4, 2026Jaeyeong Lee, Wonmo Koo, Heeyoung KimNeural Ordinary Differential EquationsBayesian Neural Networks

  41. Integrating Mechanistic and Data-Driven Models for Neurological Disorders through Differentiable Programming

    Jun 4, 2026Shah Pallav Dhanendrakumar, Saikat Pal, Sitikantha RoyNeural Ordinary Differential EquationsDifferentiable Programming

  42. Learning from Demonstrations over Riemannian Manifolds using Neural ODEs: An Extended Abstract

    Jun 3, 2026Diana Cuervo Espinosa, Mahathi Anand, Angela P. SchoelligGeodesicRiemannian Manifolds

  43. Learning Manifold and Itô Dynamics with Branched Neural Rough Differential Equations

    Jun 3, 2026Luke Thompson, Dai Shi, Lequan Lin +2Neural Ordinary Differential EquationsOrdinary Differential Equations

  44. Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics

    Jun 1, 2026Marah Almanasreh, Alexander Mitsos, Eike CramerPolymerNeural Ordinary Differential Equations

  45. Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity

    May 29, 2026Jun Tan, Qing Guo, Zicheng Xu +3Counterfactual ExplanationDensity Ratio Estimation

  46. Faithful Embeddings of Irregular and Asynchronous Data for Online Log-NCDEs

    May 28, 2026Benjamin Walker, Alexandre Bloch, Lingyi Yang +2Neural Ordinary Differential EquationsLatent Dynamics

  47. Universal Time Series Generation with Neural Controlled Differential Equations

    May 27, 2026Torben Berndt, Elyes Farjallah, Leif Seute +3Synthetic Time SeriesGenerative Models

  48. Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning

    May 24, 2026Tianwei Wang, Bryan Chen, Qian Zuo +3Lie GroupLearning Dynamics

  49. A comparative study of accuracy and rollout stability of temporal surrogate models

    May 24, 2026Rajarshi BiswasLong-Horizon ForecastingSurrogate Models

  50. Learning dynamical systems with biochemically informed neural ordinary differential equations

    May 22, 2026Luis L. Fonseca, Reinhard C. Laubenbacher, Lucas BöttcherNeural Ordinary Differential EquationsDynamical Systems

  51. Learning partially observed systems with neural Hamiltonian ordinary differential equations

    May 22, 2026Sunniva Meltzer, Sølve Eidnes, Alexander Johannes StasikHamiltonian PhysicsNeural Ordinary Differential Equations

  52. Holomorphic Neural ODEs with Kolmogorov-Arnold Networks for Interpretable Discovery of Complex Dynamics

    May 21, 2026Bhaskar Ranjan Karn, Dinesh KumarNeural Ordinary Differential EquationsKolmogorov-Arnold Networks

  53. Three Costs of Amortizing Gaussian Process Inference with Neural Processes

    May 20, 2026Robin YoungGaussian ProcessTruncation

  54. Modeling Temporal scRNA-seq Data with Latent Gaussian Process and Optimal Transport

    May 20, 2026Mehmet Yigit Balik, Harri LähdesmäkiSingle-Cell Rna SequencingGaussian Process

  55. Nonlocal operator learning for fMRI encoding and decoding tasks

    May 19, 2026Andreas Kramer, Saugat Acharya, Alice Giola +1Brain Magnetic Resonance ImagingImplicit Neural Representations

  56. BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics

    May 19, 2026Siddharth Viswanath, Panayiotis Ketonis, Chen Liu +3Human Brain NetworksNeural Ordinary Differential Equations

  57. Training Infinitely Deep and Wide Transformers

    May 17, 2026Raphaël Barboni, Maarten V. de Hoop, Takashi Furuya +1Transformer ArchitecturesMean-Field Limit

  58. Prediction Is Not Physics: Learning and Evaluating Conserved Quantities in Neural Simulators

    May 16, 2026Andrew Bukowski, Aditya Kothari, Simba Shi +1Neural Ordinary Differential EquationsNeural Control

  59. MPINeuralODE: Multiple-Initial-Condition Physics-Informed Neural ODEs for Globally Consistent Dynamical System Learning

    May 13, 2026Lake Yang, Antonio Malpica-Morales, Frank Ioannis Papadakis Wood +1Neural Ordinary Differential EquationsLearning Dynamics

  60. Steerable Neural ODEs on Homogeneous Spaces

    May 11, 2026Emma Andersdotter, Daniel Persson, Fredrik OhlssonNeural Ordinary Differential EquationsOrdinary Differential Equations