Causal Diffusion Autoencoders: Toward Counterfactual Generation via
Diffusion Probabilistic Models

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Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models

27 April 2024

Aneesh Komanduri

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Papers citing "Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models"

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Title
A Framework for Causal Concept-based Model Explanations Anna Rodum Bjøru Jacob Lysnæs-Larsen Oskar Jørgensen Inga Strümke H. Langseth 12 0 0 02 Dec 2025
Learning Causal States Under Partial Observability and Perturbation Na Li Hangguan Shan Wei Ni Wenjie Zhang Xinyu Li Yamin Wang 8 0 0 29 Nov 2025
Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries Marius Dragoi Ioana Pintilie Florin Gogianu Florin Brad OffRL LRM 235 0 0 09 Oct 2025
Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation Lei Tong Zhihua Liu Chaochao Lu Dino Oglic Tom Diethe Philip Teare Sotirios A. Tsaftaris Chen Jin DiffM CML 254 1 0 29 Sep 2025
Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models Tian Xia Fabio De Sousa Ribeiro Rajat Rasal Avinash Kori Raghav Mehta Ben Glocker DiffM 318 2 0 17 Jun 2025
Diffusion Counterfactual Generation with Semantic Abduction Rajat Rasal Avinash Kori Fabio De Sousa Ribeiro Tian Xia Ben Glocker DiffM 200 3 0 09 Jun 2025
Counterfactual Generative Modeling with Variational Causal InferenceInternational Conference on Learning Representations (ICLR), 2024 Yulun Wu Louie McConnell Claudia Iriondo CML BDL 528 9 0 16 Oct 2024
DiffPO: A causal diffusion model for learning distributions of potential outcomesNeural Information Processing Systems (NeurIPS), 2024 Yuchen Ma Valentyn Melnychuk Jonas Schweisthal Stefan Feuerriegel DiffM 360 15 0 11 Oct 2024
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 490 17 0 29 Mar 2024