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ordinary differential equation

139 papers

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Also known as

ODE

Co-occurring keywords

dynamical system (398) neural network (6616) diffusion model (3751) graph neural network (3962) bayesian inference (1907) variational inference (2069) gaussian process (1200) neural ordinary differential equation (139) generative model (2892) neural network optimization (1293)

Papers

A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation ICML 2019
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks NIPS 2019
Direct Runge-Kutta Discretization Achieves Acceleration NIPS 2018
Neural Ordinary Differential Equations NIPS 2018
Constraining the Dynamics of Deep Probabilistic Models ICML 2018
Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations AISTATS 2018
Implicit Probabilistic Integrators for ODEs NIPS 2018
Learning unknown ODE models with Gaussian processes ICML 2018
Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework ICML 2018
Scalable Variational Inference for Dynamical Systems NIPS 2017
Probabilistic Linear Multistep Methods NIPS 2016
Active Flattening of Curved Document Images via Two Structured Beams CVPR 2014
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014
Probabilistic ODE Solvers with Runge-Kutta Means NIPS 2014