Emerging Synergies in Causality and Deep Generative Models: A Survey

29 January 2023

Liming Zhu

Papers citing "Emerging Synergies in Causality and Deep Generative Models: A Survey"

20 / 20 papers shown

Title
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 49 0 0 27 Mar 2025
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning Guanglin Zhou Zhongyi Han Shiming Chen Biwei Huang Liming Zhu Salman Khan Xin Gao Lina Yao VLM 39 2 0 20 May 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges Audrey Poinsot Alessandro Leite Nicolas Chesneau Michèle Sébag Marc Schoenauer 46 3 0 08 May 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization Guanglin Zhou Zhongyi Han Shiming Chen Biwei Huang Liming Zhu Tongliang Liu Lina Yao Kun Zhang 32 3 0 18 Jan 2024
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers Staphord Bengesi Hoda El-Sayed Md Kamruzzaman Sarker Yao Houkpati John Irungu T. Oladunni 45 73 0 17 Nov 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 31 7 0 17 Oct 2023
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations Chunkit Chan Cheng Jiayang Weiqi Wang Yuxin Jiang Tianqing Fang Xin Liu Yangqiu Song LRM 78 60 0 28 Apr 2023
Understanding Causality with Large Language Models: Feasibility and Opportunities Cheng Zhang Stefan Bauer Paul N. Bennett Jian-chuan Gao Wenbo Gong ... Joel Jennings Chao Ma Tom Minka Nick Pawlowski James Vaughan LRM ELM 26 57 0 11 Apr 2023
LMPriors: Pre-Trained Language Models as Task-Specific Priors Kristy Choi Chris Cundy Sanjari Srivastava Stefano Ermon BDL 50 36 0 22 Oct 2022
Deep Counterfactual Estimation with Categorical Background Variables E. Brouwer CML 21 7 0 11 Oct 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints Biwei Huang C. Low Feng Xie Clark Glymour Kun Zhang CML 68 40 0 01 Oct 2022
Principled Knowledge Extrapolation with GANs Ruili Feng Jie Xiao Kecheng Zheng Deli Zhao Jingren Zhou Qibin Sun Zhengjun Zha 54 8 0 21 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 308 11,909 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 320 8,448 0 28 Jan 2022
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 217 201 0 21 Oct 2021
Causal Adversarial Network for Learning Conditional and Interventional Distributions Raha Moraffah Bahman Moraffah Mansooreh Karami A. Raglin Huan Liu OOD GAN CML 44 21 0 26 Aug 2020
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 77 117 0 18 Oct 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 264 10,344 0 12 Dec 2018
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 215 719 0 12 May 2016