Identifying through Flows for Recovering Latent Representations

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Identifying through Flows for Recovering Latent Representations

27 September 2019

Bryan Hooi

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Papers citing "Identifying through Flows for Recovering Latent Representations"

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Title
Diffusion Counterfactual Generation with Semantic Abduction Rajat Rasal Avinash Kori Fabio De Sousa Ribeiro Tian Xia Ben Glocker DiffM 14 0 0 09 Jun 2025
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models Goutham Rajendran Simon Buchholz Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar AI4CE 175 23 0 14 Feb 2024
Learning nonparametric latent causal graphs with unknown interventions Yibo Jiang Bryon Aragam CML 99 24 0 05 Jun 2023
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Simon Buchholz Goutham Rajendran Elan Rosenfeld Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar CML 110 65 0 04 Jun 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 147 11 0 29 Jan 2023
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 113 53 0 20 Jun 2022
I Don't Need u: Identifiable Non-Linear ICA Without Side Information M. Willetts Brooks Paige CML OOD 59 25 0 09 Jun 2021
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE Ding Zhou Xue-Xin Wei DRL 262 84 0 09 Nov 2020