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1906.11583
Cited By
Approximate Causal Abstraction
27 June 2019
Sander Beckers
F. Eberhardt
Joseph Y. Halpern
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Papers citing
"Approximate Causal Abstraction"
41 / 41 papers shown
Title
Combining Causal Models for More Accurate Abstractions of Neural Networks
Theodora-Mara Pîslar
Sara Magliacane
Atticus Geiger
AI4CE
50
0
0
14 Mar 2025
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling
Xudong Sun
Alex Markham
Pratik Misra
Carsten Marr
CML
68
0
0
12 Mar 2025
Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
Maxime Méloux
Silviu Maniu
François Portet
Maxime Peyrard
34
0
0
28 Feb 2025
An Algebraic Framework for Hierarchical Probabilistic Abstraction
Nijesh Upreti
Vaishak Belle
33
0
0
28 Feb 2025
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions
H. Fokkema
T. Erven
Sara Magliacane
64
1
0
10 Feb 2025
What is causal about causal models and representations?
Frederik Hytting Jørgensen
Luigi Gresele
S. Weichwald
CML
103
0
0
31 Jan 2025
Causal Abstraction in Model Interpretability: A Compact Survey
Yihao Zhang
26
0
0
26 Oct 2024
Causal Representation Learning in Temporal Data via Single-Parent Decoding
Philippe Brouillard
Sébastien Lachapelle
Julia Kaltenborn
Yaniv Gurwicz
Dhanya Sridhar
Alexandre Drouin
Peer Nowack
Jakob Runge
David Rolnick
CML
32
3
0
09 Oct 2024
Intuitions of Compromise: Utilitarianism vs. Contractualism
Jared Moore
Yejin Choi
Sydney Levine
33
0
0
07 Oct 2024
Mechanistic?
Naomi Saphra
Sarah Wiegreffe
AI4CE
21
9
0
07 Oct 2024
Products, Abstractions and Inclusions of Causal Spaces
Simon Buchholz
Junhyung Park
Bernhard Schölkopf
32
0
0
01 Jun 2024
A Philosophical Introduction to Language Models - Part II: The Way Forward
Raphael Milliere
Cameron Buckner
LRM
57
13
0
06 May 2024
Causally Abstracted Multi-armed Bandits
Fabio Massimo Zennaro
Nicholas Bishop
Joel Dyer
Yorgos Felekis
Anisoara Calinescu
Michael Wooldridge
Theodoros Damoulas
28
2
0
26 Apr 2024
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations
Jing-ling Huang
Zhengxuan Wu
Christopher Potts
Mor Geva
Atticus Geiger
57
26
0
27 Feb 2024
Causal Perception
Jose M. Alvarez
Salvatore Ruggieri
CML
19
0
0
24 Jan 2024
Interventionally Consistent Surrogates for Agent-based Simulators
Joel Dyer
Nicholas Bishop
Yorgos Felekis
Fabio Massimo Zennaro
Anisoara Calinescu
Theodoros Damoulas
Michael Wooldridge
19
6
0
18 Dec 2023
Causal Optimal Transport of Abstractions
Yorgos Felekis
Fabio Massimo Zennaro
Nicola Branchini
Theodoros Damoulas
CML
OT
45
5
0
13 Dec 2023
Targeted Reduction of Causal Models
Armin Kekić
Bernhard Schölkopf
M. Besserve
CML
50
9
0
30 Nov 2023
Do Not Marginalize Mechanisms, Rather Consolidate!
Moritz Willig
Matej Zečević
D. Dhami
Kristian Kersting
13
1
0
12 Oct 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning
Emanuele Marconato
Andrea Passerini
Stefano Teso
19
13
0
14 Sep 2023
Causal Entropy and Information Gain for Measuring Causal Control
F. N. F. Q. Simoes
Mehdi Dastani
T. V. Ommen
CML
8
4
0
14 Sep 2023
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions
D. Ibeling
Thomas F. Icard
CML
22
9
0
25 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
18
56
0
01 Jun 2023
A Measure-Theoretic Axiomatisation of Causality
Junhyung Park
Simon Buchholz
Bernhard Schölkopf
Krikamol Muandet
32
5
0
19 May 2023
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
Zhengxuan Wu
Atticus Geiger
Thomas Icard
Christopher Potts
Noah D. Goodman
MILM
25
81
0
15 May 2023
Quantifying Consistency and Information Loss for Causal Abstraction Learning
Fabio Massimo Zennaro
P. Turrini
Theodoros Damoulas
CML
22
3
0
07 May 2023
Localizing Model Behavior with Path Patching
Nicholas W. Goldowsky-Dill
Chris MacLeod
L. Sato
Aryaman Arora
13
85
0
12 Apr 2023
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
Atticus Geiger
Zhengxuan Wu
Christopher Potts
Thomas F. Icard
Noah D. Goodman
CML
73
98
0
05 Mar 2023
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions
Fabio Massimo Zennaro
Máté Drávucz
G. Apachitei
W. D. Widanage
Theodoros Damoulas
29
12
0
14 Jan 2023
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training
Jing-ling Huang
Zhengxuan Wu
Kyle Mahowald
Christopher Potts
19
13
0
19 Dec 2022
Causal Abstraction with Soft Interventions
Riccardo Massidda
Atticus Geiger
Thomas F. Icard
D. Bacciu
23
13
0
22 Nov 2022
Language Models Understand Us, Poorly
Jared Moore
LRM
9
4
0
19 Oct 2022
FACT: Learning Governing Abstractions Behind Integer Sequences
Peter Belcak
Ard Kastrati
Flavio Schenker
Roger Wattenhofer
31
5
0
20 Sep 2022
Towards Computing an Optimal Abstraction for Structural Causal Models
Fabio Massimo Zennaro
P. Turrini
Theodoros Damoulas
11
1
0
01 Aug 2022
Abstraction between Structural Causal Models: A Review of Definitions and Properties
Fabio Massimo Zennaro
14
11
0
18 Jul 2022
Causal Inference Through the Structural Causal Marginal Problem
Luigi Gresele
Julius von Kügelgen
Jonas M. Kubler
Elke Kirschbaum
Bernhard Schölkopf
Dominik Janzing
22
19
0
02 Feb 2022
Neural Information Squeezer for Causal Emergence
Jiang Zhang
Kaiwei Liu
CML
22
14
0
25 Jan 2022
On the Equivalence of Causal Models: A Category-Theoretic Approach
J. Otsuka
H. Saigo
18
12
0
18 Jan 2022
Causal Distillation for Language Models
Zhengxuan Wu
Atticus Geiger
J. Rozner
Elisa Kreiss
Hanson Lu
Thomas F. Icard
Christopher Potts
Noah D. Goodman
81
25
0
05 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks
Atticus Geiger
Zhengxuan Wu
Hanson Lu
J. Rozner
Elisa Kreiss
Thomas F. Icard
Noah D. Goodman
Christopher Potts
CML
OOD
16
70
0
01 Dec 2021
Causal Abstractions of Neural Networks
Atticus Geiger
Hanson Lu
Thomas F. Icard
Christopher Potts
NAI
CML
8
216
0
06 Jun 2021
1