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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

Myriad: a real-world testbed to bridge trajectory optimization and deep learning NIPS 2022
On Numerical Integration in Neural Ordinary Differential Equations ICML 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? NIPS 2022
Sparsity in Continuous-Depth Neural Networks NIPS 2022
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs IJCAI 2022
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules NIPS 2022
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds NIPS 2022
Latent Time Neural Ordinary Differential Equations AAAI 2022
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs NIPS 2022
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain ICML 2022
Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits L4DC 2022
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method NIPS 2022
TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed CVPR 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs ICML 2022
Capturing actionable dynamics with structured latent ordinary differential equations UAI 2022
Self-Consistency of the Fokker Planck Equation COLT 2022
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics L4DC 2022
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification ACL 2022
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms CORL 2022
Continuous Temporal Graph Networks for Event-Based Graph Data NAACL 2022
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations WACV 2021
Forecasting Reservoir Inflow via Recurrent Neural ODEs AAAI 2021
Scaling Properties of Deep Residual Networks ICML 2021
Second-Order Neural ODE Optimizer NIPS 2021
On the Verification of Neural ODEs with Stochastic Guarantees AAAI 2021