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Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease
  Progression

Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression

5 June 2021
Zhaozhi Qian
W. Zame
L. Fleuren
Paul Elbers
M. Schaar
    OOD
ArXivPDFHTML

Papers citing "Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression"

9 / 9 papers shown
Title
Longitudinal Self-supervised Learning Using Neural Ordinary Differential
  Equation
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation
Rachid Zeghlache
Pierre-Henri Conze
Mostafa EL HABIB DAHO
Yi-Hsuan Li
Hugo Le Boité
...
Pascale Massin
B. Cochener
Ikram Brahim
G. Quellec
M. Lamard
21
4
0
16 Oct 2023
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
K. Ensinger
Sebastian Ziesche
Sebastian Trimpe
29
1
0
06 Sep 2023
On the Generalization and Approximation Capacities of Neural Controlled
  Differential Equations
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
Linus Bleistein
Agathe Guilloux
30
1
0
26 May 2023
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis
  Progression
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression
Alexander Norcliffe
Lev Proleev
Diana Mincu
F. Hartsell
Katherine A. Heller
Subhrajit Roy
26
2
0
15 Feb 2023
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward
  Trustworthy Estimation of Theory-Driven Models
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models
Naoya Takeishi
Alexandros Kalousis
AAML
35
3
0
24 Oct 2022
Robust Hybrid Learning With Expert Augmentation
Robust Hybrid Learning With Expert Augmentation
Antoine Wehenkel
Jens Behrmann
Hsiang Hsu
Guillermo Sapiro
Gilles Louppe and
J. Jacobsen
21
8
0
08 Feb 2022
Physics-Integrated Variational Autoencoders for Robust and Interpretable
  Generative Modeling
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi
Alexandros Kalousis
DRL
AI4CE
22
54
0
25 Feb 2021
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
89
288
0
03 Mar 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and
  Lagrangian Dual Methods
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto
Terrence W.K. Mak
Pascal Van Hentenryck
AI4CE
76
160
0
19 Sep 2019
1