Compositional Generative Modeling: A Single Model is Not All You Need

Compositional Generative Modeling: A Single Model is Not All You Need

2 February 2024

Papers citing "Compositional Generative Modeling: A Single Model is Not All You Need"

19 / 19 papers shown

Title
What Do You Need for Diverse Trajectory Stitching in Diffusion Planning? Quentin Clark Florian Shkurti 747 0 0 23 May 2025
An Affective-Taxis Hypothesis for Alignment and Interpretability Eli Sennesh Maxwell Ramstead 29 0 0 03 May 2025
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models Prin Phunyaphibarn Phillip Y. Lee Jaihoon Kim Minhyuk Sung DiffM 134 0 0 26 Mar 2025
Generative Trajectory Stitching through Diffusion Composition Yunhao Luo Utkarsh Aashu Mishra Yilun Du Danfei Xu 386 5 0 07 Mar 2025
History-Guided Video Diffusion Kiwhan Song Boyuan Chen Max Simchowitz Yilun Du Russ Tedrake Vincent Sitzmann VGen 159 13 0 10 Feb 2025
Can Models Learn Skill Composition from Examples? Haoyu Zhao Simran Kaur Dingli Yu Anirudh Goyal Sanjeev Arora CoGe MoE 71 6 0 29 Sep 2024
Compositional Sculpting of Iterative Generative Processes Yixuan Wang Sebastiaan De Peuter Mingtong Zhang Vikas Garg Samuel Kaski Tommi Jaakkola DiffM 61 14 0 28 Sep 2023
Compositional Diffusion-Based Continuous Constraint Solvers Zhutian Yang Jiayuan Mao Yilun Du Jiajun Wu J. Tenenbaum Tomás Lozano-Pérez L. Kaelbling DiffM 93 35 0 02 Sep 2023
Faith and Fate: Limits of Transformers on Compositionality Nouha Dziri Ximing Lu Melanie Sclar Xiang Lorraine Li Liwei Jian ... Sean Welleck Xiang Ren Allyson Ettinger Zaïd Harchaoui Yejin Choi ReLM LRM 98 375 0 29 May 2023
Compositional Visual Generation with Composable Diffusion Models Nan Liu Shuang Li Yilun Du Antonio Torralba J. Tenenbaum DiffM CoGe 135 517 0 03 Jun 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 186 810 0 12 May 2022
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 180 1,936 0 29 Mar 2022
Unsupervised Learning of Compositional Energy Concepts Yilun Du Shuang Li Yash Sharma J. Tenenbaum Igor Mordatch CoGe OCL 57 80 0 04 Nov 2021
A short note on learning discrete distributions C. Canonne 22 67 0 25 Feb 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 76 542 0 06 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 213 3,870 0 12 Jul 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models Erik Nijkamp Mitch Hill Tian Han Song-Chun Zhu Ying Nian Wu 51 154 0 29 Mar 2019
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 431 2,566 0 25 Jan 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 252 6,887 0 12 Mar 2015

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