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2106.02875
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Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
Neural Information Processing Systems (NeurIPS), 2021
5 June 2021
Zhaozhi Qian
W. Zame
L. Fleuren
Paul Elbers
M. Schaar
OOD
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Papers citing
"Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression"
32 / 32 papers shown
Generative Modeling of Clinical Time Series via Latent Stochastic Differential Equations
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152
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20 Nov 2025
Position: Biology is the Challenge Physics-Informed ML Needs to Evolve
Julien Martinelli
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120
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29 Oct 2025
Temporally Detailed Hypergraph Neural ODEs for Type 2 Diabetes Progression Modeling
Tingsong Xiao
Y. Lee
Zelin Xu
Yupu Zhang
Zibo Liu
Yu-Hao Huang
Jiang Bian
S. Guo
Zhe Jiang
97
0
0
20 Oct 2025
Physics-Informed Machine Learning in Biomedical Science and Engineering
Nazanin Ahmadi
Qianying Cao
J. Humphrey
George Karniadakis
PINN
AI4CE
177
1
0
06 Oct 2025
Counterfactual Probabilistic Diffusion with Expert Models
Wenhao Mu
Zhi Cao
Mehmed Uludag
Alexander Rodríguez
DiffM
176
1
0
18 Aug 2025
Structured Kolmogorov-Arnold Neural ODEs for Interpretable Learning and Symbolic Discovery of Nonlinear Dynamics
Wei Liu
Kiran Bacsa
Loon Ching Tang
Eleni Chatzi
239
1
0
23 Jun 2025
Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs
Bob Junyi Zou
Lu Tian
AI4CE
162
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0
25 May 2025
Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers
Shi Li
AI4CE
191
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05 Mar 2025
Genetics-Driven Personalized Disease Progression Model
Haoyu Yang
Sanjoy Dey
Pablo Meyer
AI4CE
89
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0
24 Feb 2025
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care
Christel Sirocchi
Muhammad Suffian
Federico Sabbatini
Alessandro Bogliolo
Sara Montagna
163
0
0
05 Nov 2024
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series
Thomas Schwarz
Cecilia Casolo
Niki Kilbertus
CML
296
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0
11 Oct 2024
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
J. Durso-Finley
Berardino Barile
Jean-Pierre Falet
Douglas L. Arnold
Nick Pawlowski
Tal Arbel
AI4CE
246
3
0
18 Jun 2024
Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
Sheikh Waqas Akhtar
DRL
224
0
0
18 Apr 2024
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Rachid Zeghlache
Pierre-Henri Conze
Mostafa EL HABIB DAHO
Yi-Hsuan Li
Hugo Le Boité
...
B. Cochener
Alireza Rezaei
Ikram Brahim
G. Quellec
M. Lamard
172
2
0
10 Apr 2024
Hybrid
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2
Neural ODE Causal Modeling and an Application to Glycemic Response
Bob Junyi Zou
Matthew E. Levine
D. Zaharieva
Ramesh Johari
Emily Fox
259
7
0
27 Feb 2024
Deep Learning with Physics Priors as Generalized Regularizers
Frank Liu
Agniva Chowdhury
BDL
PINN
AI4CE
151
3
0
14 Dec 2023
Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild
Ke Alexander Wang
Emily B. Fox
DRL
168
0
0
06 Dec 2023
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
263
5
0
16 Oct 2023
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
AAAI Conference on Artificial Intelligence (AAAI), 2023
K. Ensinger
Sebastian Ziesche
Sebastian Trimpe
264
1
0
06 Sep 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Knowledge Discovery and Data Mining (KDD), 2023
Song Jiang
Zijie Huang
Xiao Luo
Luke Huan
CML
241
23
0
20 Jun 2023
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
International Conference on Learning Representations (ICLR), 2023
Linus Bleistein
Agathe Guilloux
451
4
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26 May 2023
Generalization bounds for neural ordinary differential equations and deep residual networks
Neural Information Processing Systems (NeurIPS), 2023
Pierre Marion
223
27
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11 May 2023
Combining Slow and Fast: Complementary Filtering for Dynamics Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
K. Ensinger
Sebastian Ziesche
Barbara Rakitsch
Michael Tiemann
Sebastian Trimpe
310
2
0
27 Feb 2023
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression
Alexander Norcliffe
Lev Proleev
Diana Mincu
F. Hartsell
Katherine A. Heller
Subhrajit Roy
184
2
0
15 Feb 2023
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Naoya Takeishi
Alexandros Kalousis
AAML
220
8
0
24 Oct 2022
Learning Differential Operators for Interpretable Time Series Modeling
Knowledge Discovery and Data Mining (KDD), 2022
Yingtao Luo
Chang Xu
Yang Liu
Yuante Li
Shun Zheng
Jiang Bian
AI4TS
214
11
0
03 Sep 2022
Fully probabilistic deep models for forward and inverse problems in parametric PDEs
Journal of Computational Physics (JCP), 2022
Arnaud Vadeboncoeur
Ömer Deniz Akyildiz
Ieva Kazlauskaite
Mark Girolami
F. Cirak
AI4CE
196
27
0
09 Aug 2022
Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs
Neural Information Processing Systems (NeurIPS), 2022
Çağatay Yıldız
M. Kandemir
Barbara Rakitsch
362
14
0
24 May 2022
Predicting the impact of treatments over time with uncertainty aware neural differential equations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
E. Brouwer
J. Hernández
Stephanie L. Hyland
OOD
CML
196
29
0
24 Feb 2022
Robust Hybrid Learning With Expert Augmentation
Antoine Wehenkel
Jens Behrmann
Hsiang Hsu
Guillermo Sapiro
Gilles Louppe and
J. Jacobsen
279
13
0
08 Feb 2022
A Framework for Machine Learning of Model Error in Dynamical Systems
Communications of the American Mathematical Society (Comm. Amer. Math. Soc.), 2021
Matthew E. Levine
Andrew M. Stuart
284
75
0
14 Jul 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Neural Information Processing Systems (NeurIPS), 2021
Naoya Takeishi
Alexandros Kalousis
DRL
AI4CE
330
72
0
25 Feb 2021
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