ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.16467
  4. Cited By
Linear Causal Disentanglement via Interventions

Linear Causal Disentanglement via Interventions

29 November 2022
C. Squires
A. Seigal
Salil Bhate
Caroline Uhler
    CML
ArXivPDFHTML

Papers citing "Linear Causal Disentanglement via Interventions"

10 / 10 papers shown
Title
Robustness of Nonlinear Representation Learning
Robustness of Nonlinear Representation Learning
Simon Buchholz
Bernhard Schölkopf
OOD
111
3
0
19 Mar 2025
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
Biwei Huang
Mingming Gong
Anton van den Hengel
Javen Qinfeng Shi
J. Shi
124
0
0
12 Mar 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System
Sanity Checking Causal Representation Learning on a Simple Real-World System
Juan L. Gamella
Simon Bing
Jakob Runge
CML
50
0
0
27 Feb 2025
Analyzing (In)Abilities of SAEs via Formal Languages
Analyzing (In)Abilities of SAEs via Formal Languages
Abhinav Menon
Manish Shrivastava
David M. Krueger
Ekdeep Singh Lubana
42
7
0
15 Oct 2024
Linear causal disentanglement via higher-order cumulants
Linear causal disentanglement via higher-order cumulants
Paula Leyes Carreno
Chiara Meroni
A. Seigal
CML
34
0
0
05 Jul 2024
Smoke and Mirrors in Causal Downstream Tasks
Smoke and Mirrors in Causal Downstream Tasks
Riccardo Cadei
Lukas Lindorfer
Sylvia Cremer
Cordelia Schmid
Francesco Locatello
CML
28
3
0
27 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Learning Invariant Causal Mechanism from Vision-Language Models
Zeen Song
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Wenwen Qiang
CML
BDL
VLM
35
0
0
24 May 2024
Towards Characterizing Domain Counterfactuals For Invertible Latent
  Causal Models
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models
Zeyu Zhou
Ruqi Bai
Sean Kulinski
Murat Kocaoglu
David I. Inouye
CML
24
1
0
20 Jun 2023
Neuro-Causal Factor Analysis
Neuro-Causal Factor Analysis
Alex Markham
Ming-Yu Liu
Bryon Aragam
Liam Solus
CML
18
3
0
31 May 2023
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
236
207
0
17 Feb 2021
1