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2105.02522
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Neural graphical modelling in continuous-time: consistency guarantees and algorithms
6 May 2021
Alexis Bellot
K. Branson
M. Schaar
CML
AI4TS
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Papers citing
"Neural graphical modelling in continuous-time: consistency guarantees and algorithms"
27 / 27 papers shown
Title
CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models
Benjamin Herdeanu
Juan Nathaniel
Carla Roesch
Jatan Buch
Gregor Ramien
Johannes Haux
Pierre Gentine
CML
AI4CE
90
0
0
22 May 2025
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning
Albert Wilcox
Mohamed Ghanem
Masoud Moghani
Pierre Barroso
Benjamin Joffe
Animesh Garg
148
0
0
06 Mar 2025
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data
Yue Cheng
Jiajun Zhang
Weiwei Xing
Xiaoyu Guo
Yue Cheng
Witold Pedrycz
CML
116
0
0
25 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
203
12
0
28 Feb 2024
Policy Analysis using Synthetic Controls in Continuous-Time
Alexis Bellot
M. Schaar
OffRL
47
17
0
02 Feb 2021
Interpretable Models for Granger Causality Using Self-explaining Neural Networks
Ricards Marcinkevics
Julia E. Vogt
MILM
CML
73
64
0
19 Jan 2021
Consistent Feature Selection for Analytic Deep Neural Networks
Vu C. Dinh
L. Ho
FAtt
388
37
0
16 Oct 2020
Lasso Inference for High-Dimensional Time Series
R. Adámek
Stephan Smeekes
Ines Wilms
AI4TS
71
34
0
21 Jul 2020
DYNOTEARS: Structure Learning from Time-Series Data
Roxana Pamfil
Nisara Sriwattanaworachai
Shaan Desai
Philip Pilgerstorfer
Paul Beaumont
K. Georgatzis
Bryon Aragam
CML
AI4TS
BDL
77
192
0
02 Feb 2020
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes
Zhaozhi Qian
Ahmed Alaa
Alexis Bellot
J. Rashbass
M. Schaar
DiffM
MedIm
35
17
0
08 Jan 2020
Causality for Machine Learning
Bernhard Schölkopf
CML
AI4CE
LRM
96
463
0
24 Nov 2019
Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality
Saurabh Khanna
Vincent Y. F. Tan
AI4TS
62
72
0
22 Nov 2019
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems
Philippe Wenk
G. Abbati
Michael A. Osborne
Bernhard Schölkopf
Andreas Krause
Stefan Bauer
42
31
0
17 Feb 2019
On the Non-asymptotic and Sharp Lower Tail Bounds of Random Variables
Anru R. Zhang
Yuchen Zhou
106
61
0
21 Oct 2018
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
437
5,157
0
19 Jun 2018
Learning unknown ODE models with Gaussian processes
Markus Heinonen
Çağatay Yıldız
Henrik Mannerstrom
Jukka Intosalmi
Harri Lähdesmäki
49
94
0
12 Mar 2018
Neural Granger Causality
Alex Tank
Ian Covert
N. Foti
Ali Shojaie
E. Fox
CML
144
100
0
16 Feb 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
M. Raissi
PINN
AI4CE
120
756
0
20 Jan 2018
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
85
931
0
28 Nov 2017
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions
Hossein Soleimani
Adarsh Subbaswamy
Suchi Saria
CML
42
23
0
06 Apr 2017
From Deterministic ODEs to Dynamic Structural Causal Models
Paul Kishan Rubenstein
Stephan Bongers
Bernhard Schölkopf
Joris M. Mooij
75
55
0
29 Aug 2016
From Ordinary Differential Equations to Structural Causal Models: the deterministic case
Joris Mooij
Dominik Janzing
Bernhard Schölkopf
124
105
0
09 Aug 2014
Oracle Inequalities for High Dimensional Vector Autoregressions
Anders Bredahl Kock
Laurent Callot
113
231
0
04 Nov 2013
Asymmetric separation for local independence graphs
Vanessa Didelez
86
20
0
27 Jun 2012
Causal Reasoning in Graphical Time Series Models
M. Eichler
Vanessa Didelez
CML
AI4TS
74
65
0
20 Jun 2012
Learning Networks of Stochastic Differential Equations
José Bento
M. Ibrahimi
Andrea Montanari
136
73
0
01 Nov 2010
Autoregressive Process Modeling via the Lasso Procedure
Yuval Nardi
Alessandro Rinaldo
108
157
0
08 May 2008
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