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Causal Abstraction with Soft Interventions

Causal Abstraction with Soft Interventions

22 November 2022
Riccardo Massidda
Atticus Geiger
Thomas Icard
D. Bacciu
ArXivPDFHTML

Papers citing "Causal Abstraction with Soft Interventions"

12 / 12 papers shown
Title
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
Yuhang Liu
Dong Gong
Erdun Gao
Zhen Zhang
Zhen Zhang
Biwei Huang
Anton van den Hengel
Javen Qinfeng Shi
Javen Qinfeng Shi
416
0
0
12 Mar 2025
Aligning Graphical and Functional Causal Abstractions
Aligning Graphical and Functional Causal Abstractions
Wilem Schooltink
Fabio Massimo Zennaro
130
2
0
22 Dec 2024
Abstraction between Structural Causal Models: A Review of Definitions
  and Properties
Abstraction between Structural Causal Models: A Review of Definitions and Properties
Fabio Massimo Zennaro
30
11
0
18 Jul 2022
Causal Structure Learning: a Combinatorial Perspective
Causal Structure Learning: a Combinatorial Perspective
C. Squires
Caroline Uhler
CML
78
47
0
02 Jun 2022
Causal Abstractions of Neural Networks
Causal Abstractions of Neural Networks
Atticus Geiger
Hanson Lu
Thomas Icard
Christopher Potts
NAI
CML
69
243
0
06 Jun 2021
Compositional Abstraction Error and a Category of Causal Models
Compositional Abstraction Error and a Category of Causal Models
E. F. Rischel
S. Weichwald
62
27
0
29 Mar 2021
Approximate Causal Abstraction
Approximate Causal Abstraction
Sander Beckers
F. Eberhardt
Joseph Y. Halpern
54
52
0
27 Jun 2019
Abstracting Causal Models
Abstracting Causal Models
Sander Beckers
Joseph Y. Halpern
69
106
0
10 Dec 2018
Causal Consistency of Structural Equation Models
Causal Consistency of Structural Equation Models
Paul Kishan Rubenstein
S. Weichwald
Stephan Bongers
Joris M. Mooij
Dominik Janzing
Moritz Grosse-Wentrup
Bernhard Schölkopf
CML
78
127
0
04 Jul 2017
Foundations of Structural Causal Models with Cycles and Latent Variables
Foundations of Structural Causal Models with Cycles and Latent Variables
Stephan Bongers
Patrick Forré
J. Peters
Joris M. Mooij
52
165
0
18 Nov 2016
Review of Fall Detection Techniques: A Data Availability Perspective
Review of Fall Detection Techniques: A Data Availability Perspective
Shehroz S. Khan
Jesse Hoey
30
37
0
30 May 2016
Visual Causal Feature Learning
Visual Causal Feature Learning
Krzysztof Chalupka
Pietro Perona
F. Eberhardt
CML
OOD
86
140
0
07 Dec 2014
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