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neural ordinary differential equation

139 papers

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Also known as

NEURALODE N-ODE NEURAL ODE NODE NEURAL ODE

Co-occurring keywords

dynamical system (398) ordinary differential equation (139) neural ode (29) generative model (2892) continuous-time dynamics (21) time series (435) optimal transport (948) manifold learning (403) representation learning (6206) recurrent neural network (1790)

Papers

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach AAAI 2024
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations AAAI 2024
StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation CVPR 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024
Generative Quanta Color Imaging CVPR 2024
Zero-Shot Transfer of Neural ODEs NIPS 2024
Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation IJCAI 2024
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence NIPS 2024
Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments IJCAI 2024
Simulation-Free Training of Neural ODEs on Paired Data NIPS 2024
Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction INTERSPEECH 2024
Improving Neural ODE Training with Temporal Adaptive Batch Normalization NIPS 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NIPS 2024
When are dynamical systems learned from time series data statistically accurate? NIPS 2024
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics AAAI 2024
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling NIPS 2023
Normalizing flow neural networks by JKO scheme NIPS 2023
Generalization bounds for neural ordinary differential equations and deep residual networks NIPS 2023
On the Forward Invariance of Neural ODEs ICML 2023
Neural Markov Jump Processes ICML 2023
MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos ICCV 2023
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract) AAAI 2023
Homotopy-based training of NeuralODEs for accurate dynamics discovery NIPS 2023
Learnable Path in Neural Controlled Differential Equations AAAI 2023
Trainability, Expressivity and Interpretability in Gated Neural ODEs ICML 2023