neural differential equation

Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS 2022 A variational approximation for analyzing the dynamics of panel data UAI 2021 Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers NeurIPS 2021 Continuous-Time Attention for Sequential Learning AAAI 2021 Differentiable Multiple Shooting Layers NeurIPS 2021 Framing RNN as a kernel method: A neural ODE approach NeurIPS 2021 "Hey, that’s not an ODE": Faster ODE Adjoints via Seminorms ICML 2021 Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations ICML 2021 Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions NeurIPS 2021 Neural Rough Differential Equations for Long Time Series ICML 2021 Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics ICML 2021 Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems NeurIPS 2021 Neural Controlled Differential Equations for Irregular Time Series NeurIPS 2020 Neural Jump Stochastic Differential Equations NeurIPS 2019