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Neural ODE Processes

Neural ODE Processes

23 March 2021
Alexander Norcliffe
Cristian Bodnar
Ben Day
Jacob Moss
Pietro Lió
    BDL
    AI4TS
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Papers citing "Neural ODE Processes"

15 / 15 papers shown
Title
Latent Space Energy-based Neural ODEs
Latent Space Energy-based Neural ODEs
Sheng Cheng
Deqian Kong
Jianwen Xie
Kookjin Lee
Ying Nian Wu
Yezhou Yang
DiffM
131
1
0
05 Sep 2024
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature
Alexander Norcliffe
M. Deisenroth
23
3
0
21 Aug 2023
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and
  Sparse Graphs
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs
Linhao Luo
Reza Haffari
Shirui Pan
AI4TS
28
30
0
15 Nov 2022
torchode: A Parallel ODE Solver for PyTorch
torchode: A Parallel ODE Solver for PyTorch
Marten Lienen
Stephan Günnemann
LRM
19
11
0
22 Oct 2022
Tripletformer for Probabilistic Interpolation of Irregularly sampled
  Time Series
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series
Vijaya Krishna Yalavarthi
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
22
5
0
05 Oct 2022
Compositional Law Parsing with Latent Random Functions
Compositional Law Parsing with Latent Random Functions
Fan Shi
Bin Li
Xiangyang Xue
CoGe
21
4
0
15 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
L. Yao
BDL
73
24
0
01 Sep 2022
Continuous-time Particle Filtering for Latent Stochastic Differential
  Equations
Continuous-time Particle Filtering for Latent Stochastic Differential Equations
Ruizhi Deng
Greg Mori
Andreas M. Lehrmann
BDL
25
0
0
01 Sep 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Manuela Brenner
Florian Hess
Jonas M. Mikhaeil
Leonard Bereska
Zahra Monfared
Po-Chen Kuo
Daniel Durstewitz
AI4CE
37
29
0
06 Jul 2022
An end-to-end deep learning approach for extracting stochastic dynamical
  systems with $α$-stable Lévy noise
An end-to-end deep learning approach for extracting stochastic dynamical systems with ααα-stable Lévy noise
Cheng Fang
Yubin Lu
Ting Gao
Jinqiao Duan
49
16
0
31 Jan 2022
Heavy Ball Neural Ordinary Differential Equations
Heavy Ball Neural Ordinary Differential Equations
Hedi Xia
Vai Suliafu
H. Ji
T. Nguyen
Andrea L. Bertozzi
Stanley J. Osher
Bao Wang
30
56
0
10 Oct 2021
Approximate Latent Force Model Inference
Approximate Latent Force Model Inference
Jacob Moss
Felix L. Opolka
Bianca Dumitrascu
Pietro Lió
41
3
0
24 Sep 2021
Neural Controlled Differential Equations for Online Prediction Tasks
Neural Controlled Differential Equations for Online Prediction Tasks
James Morrill
Patrick Kidger
Lingyi Yang
Terry Lyons
AI4TS
27
40
0
21 Jun 2021
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease
  Progression
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
Zhaozhi Qian
W. Zame
L. Fleuren
Paul Elbers
M. Schaar
OOD
19
53
0
05 Jun 2021
Efficient and Accurate Gradients for Neural SDEs
Efficient and Accurate Gradients for Neural SDEs
Patrick Kidger
James Foster
Xuechen Li
Terry Lyons
DiffM
24
60
0
27 May 2021
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