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1512.07942
Cited By
Multi-Level Cause-Effect Systems
25 December 2015
Krzysztof Chalupka
Pietro Perona
F. Eberhardt
CML
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Papers citing
"Multi-Level Cause-Effect Systems"
23 / 23 papers shown
Title
Nonlinear Causal Discovery for Grouped Data
Konstantin Göbler
Tobias Windisch
Mathias Drton
CML
100
0
0
05 Jun 2025
Causal reasoning in difference graphs
Charles K. Assaad
CML
100
0
0
02 Nov 2024
Foundations of Causal Discovery on Groups of Variables
Jonas Wahl
Urmi Ninad
Jakob Runge
CML
85
11
0
12 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions
Julius von Kügelgen
M. Besserve
Wendong Liang
Luigi Gresele
Armin Kekić
Elias Bareinboim
David M. Blei
Bernhard Schölkopf
CML
184
65
0
01 Jun 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
CML
72
12
0
30 Jan 2023
Towards a Grounded Theory of Causation for Embodied AI
Taco S. Cohen
CML
81
9
0
28 Jun 2022
Image-based Treatment Effect Heterogeneity
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
123
22
0
13 Jun 2022
From Statistical to Causal Learning
Bernhard Schölkopf
Julius von Kügelgen
CML
100
46
0
01 Apr 2022
Causal Effect Identification in Cluster DAGs
Tarandeep Anand
A. Ribeiro
Jin Tian
Elias Bareinboim
CML
67
17
0
22 Feb 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Phillip Lippe
Sara Magliacane
Sindy Löwe
Yuki M. Asano
Taco S. Cohen
E. Gavves
CML
111
109
0
07 Feb 2022
Causal Inference Through the Structural Causal Marginal Problem
Luigi Gresele
Julius von Kügelgen
Jonas M. Kubler
Elke Kirschbaum
Bernhard Schölkopf
Dominik Janzing
100
20
0
02 Feb 2022
On the Equivalence of Causal Models: A Category-Theoretic Approach
J. Otsuka
H. Saigo
66
13
0
18 Jan 2022
Inducing Causal Structure for Interpretable Neural Networks
Atticus Geiger
Zhengxuan Wu
Hanson Lu
J. Rozner
Elisa Kreiss
Thomas Icard
Noah D. Goodman
Christopher Potts
CML
OOD
96
76
0
01 Dec 2021
Encoding Causal Macrovariables
Benedikt Höltgen
CML
43
5
0
29 Nov 2021
Causal Abstractions of Neural Networks
Atticus Geiger
Hanson Lu
Thomas Icard
Christopher Potts
NAI
CML
80
246
0
06 Jun 2021
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OOD
CML
AI4CE
160
322
0
22 Feb 2021
Invariant Representation Learning for Treatment Effect Estimation
Claudia Shi
Victor Veitch
David M. Blei
OOD
CML
57
31
0
24 Nov 2020
Causal Feature Learning for Utility-Maximizing Agents
David Kinney
David S. Watson
97
9
0
18 May 2020
Causality for Machine Learning
Bernhard Schölkopf
CML
AI4CE
LRM
117
465
0
24 Nov 2019
Abstracting Causal Models
Sander Beckers
Joseph Y. Halpern
110
107
0
10 Dec 2018
Structural causal models for macro-variables in time-series
Dominik Janzing
Paul Kishan Rubenstein
Bernhard Schölkopf
CML
65
6
0
11 Apr 2018
Causal Consistency of Structural Equation Models
Paul Kishan Rubenstein
S. Weichwald
Stephan Bongers
Joris M. Mooij
Dominik Janzing
Moritz Grosse-Wentrup
Bernhard Schölkopf
CML
93
129
0
04 Jul 2017
Review of Fall Detection Techniques: A Data Availability Perspective
Shehroz S. Khan
Jesse Hoey
58
37
0
30 May 2016
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