Beyond Predictions in Neural ODEs: Identification and Interventions

Beyond Predictions in Neural ODEs: Identification and Interventions

23 June 2021

Fabian J. Theis

Papers citing "Beyond Predictions in Neural ODEs: Identification and Interventions"

12 / 12 papers shown

Title
Identifiability Analysis of Linear ODE Systems with Hidden Confounders Yuanyuan Wang Biwei Huang Wei Huang Xi Geng Mingming Gong CML 33 0 0 29 Oct 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 44 8 0 28 Feb 2024
Simulation-free Schrödinger bridges via score and flow matching Alexander Tong Nikolay Malkin Kilian Fatras Lazar Atanackovic Yanlei Zhang G. Huguet Guy Wolf Yoshua Bengio DiffM OT 34 29 0 07 Jul 2023
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints Alistair J R White Niki Kilbertus Maximilian Gelbrecht Niklas Boers 20 6 0 16 Jun 2023
AI for Science: An Emerging Agenda Philipp Berens Kyle Cranmer Neil D. Lawrence U. V. Luxburg Jessica Montgomery 35 4 0 07 Mar 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets Lazar Atanackovic Alexander Tong Bo Wang Leo J. Lee Yoshua Bengio Jason S. Hartford BDL 29 21 0 08 Feb 2023
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 35 230 0 01 Feb 2023
Sparsity in Continuous-Depth Neural Networks H. Aliee Till Richter Mikhail Solonin I. Ibarra Fabian J. Theis Niki Kilbertus 27 10 0 26 Oct 2022
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems Xuyang Li H. Bolandi Talal Salem N. Lajnef Vishnu Naresh Boddeti 19 2 0 26 Aug 2022
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs Mona Buisson-Fenet V. Morgenthaler Sebastian Trimpe F. D. Meglio 46 6 0 25 May 2022
Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics Shiqi Gong Qi Meng Yue Wang Lijun Wu Wei Chen Zhi-Ming Ma Tie-Yan Liu 8 2 0 08 Jun 2021
From Ordinary Differential Equations to Structural Causal Models: the deterministic case Joris Mooij Dominik Janzing Bernhard Schölkopf 74 101 0 09 Aug 2014