neural ordinary differential equation

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers AAAI 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations AAAI 2024 Parallelizing non-linear sequential models over the sequence length ICLR 2024 Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NeurIPS 2024 SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases ICLR 2024 Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach AAAI 2024 Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics AAAI 2024 Simulation-Free Training of Neural ODEs on Paired Data NeurIPS 2024 Stability-Informed Initialization of Neural Ordinary Differential Equations ICML 2024 Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data ICLR 2024 Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments IJCAI 2024 StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation CVPR 2024 When are dynamical systems learned from time series data statistically accurate? NeurIPS 2024 Zero-Shot Transfer of Neural ODEs NeurIPS 2024 ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks ICLR 2023 AdamsFormer for Spatial Action Localization in the Future CVPR 2023 Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections ICLR 2023 Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023 CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract) AAAI 2023 Characteristic Neural Ordinary Differential Equation ICLR 2023 Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks L4DC 2023 ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling NeurIPS 2023 Continuously Parameterized Mixture Models ICML 2023 Continuous Parametric Optical Flow NeurIPS 2023