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Hybrid $^2$ Neural ODE Causal Modeling and an Application to Glycemic Response

27 February 2024

Papers citing "Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response"

22 / 22 papers shown

Title
Neural Structure Learning with Stochastic Differential Equations Benjie Wang Joel Jennings Wenbo Gong CML AI4TS 55 6 0 06 Nov 2023
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 93 39 0 30 Sep 2022
On the Parameterization and Initialization of Diagonal State Space Models Albert Gu Ankit Gupta Karan Goel Christopher Ré 89 324 0 23 Jun 2022
Graph Neural Networks Accelerated Molecular Dynamics Zijie Li Kazem Meidani Prakarsh Yadav A. Farimani GNN AI4CE 70 58 0 06 Dec 2021
Auto-differentiable Ensemble Kalman Filters Yuming Chen D. Sanz-Alonso Rebecca Willett 98 36 0 16 Jul 2021
The Causal-Neural Connection: Expressiveness, Learnability, and Inference K. Xia Kai-Zhan Lee Yoshua Bengio Elias Bareinboim CML 73 111 0 02 Jul 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 113 2,296 0 24 Jun 2021
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression Zhaozhi Qian W. Zame L. Fleuren Paul Elbers M. Schaar OOD 62 56 0 05 Jun 2021
Neural Pharmacodynamic State Space Modeling Zeshan Hussain Rahul G. Krishnan David Sontag BDL AI4CE 52 11 0 22 Feb 2021
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin Vincent Le Guen Jérémie Donà Emmanuel de Bézenac Ibrahim Ayed Nicolas Thome Patrick Gallinari AI4CE PINN 75 135 0 09 Oct 2020
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 82 806 0 07 Oct 2020
Combining data assimilation and machine learning to infer unresolved scale parametrisation J. Brajard A. Carrassi Marc Bocquet Laurent Bertino 56 115 0 09 Sep 2020
Neural Ordinary Differential Equation Control of Dynamics on Graphs Thomas Asikis Lucas Böttcher Nino Antulov-Fantulin 68 44 0 17 Jun 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 145 1,101 0 21 Feb 2020
Universal Differential Equations for Scientific Machine Learning Christopher Rackauckas Yingbo Ma Julius Martensen Collin Warner K. Zubov R. Supekar Dominic J. Skinner Ali Ramadhan Alan Edelman AI4CE 91 598 0 13 Jan 2020
Learning Dynamical Systems from Partial Observations Ibrahim Ayed Emmanuel de Bézenac Arthur Pajot J. Brajard Patrick Gallinari AI4TS 73 92 0 26 Feb 2019
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Helen Zhou FaML 90 1,092 0 31 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 443 5,157 0 19 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 218 602 0 04 Jun 2018
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model Jaideep Pathak Alexander Wikner Rebeckah K. Fussell Sarthak Chandra Brian Hunt M. Girvan Edward Ott 48 287 0 09 Mar 2018
Temporal Convolutional Networks: A Unified Approach to Action Segmentation Colin S. Lea René Vidal A. Reiter Gregory Hager 92 760 0 29 Aug 2016
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 603 12,741 0 11 Dec 2014

Hybrid2^22 Neural ODE Causal Modeling and an Application to Glycemic Response

Papers citing "Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response"

Hybrid $^2$ Neural ODE Causal Modeling and an Application to Glycemic Response