Deep Unsupervised Learning using Nonequilibrium Thermodynamics

12 March 2015

Jascha Narain Sohl-Dickstein

Papers citing "Deep Unsupervised Learning using Nonequilibrium Thermodynamics"

50 / 1,161 papers shown

Title
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi L. Wang K. Zhou 26 4 0 28 Oct 2024
Energy-Based Diffusion Language Models for Text Generation Minkai Xu Tomas Geffner Karsten Kreis Weili Nie Yilun Xu J. Leskovec Stefano Ermon Arash Vahdat DiffM 46 7 0 28 Oct 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model Jing Zhang Linjiajie Fang Kexin Shi Wenjia Wang Bing-Yi Jing OffRL 36 0 0 27 Oct 2024
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 46 0 0 25 Oct 2024
Learned Reference-based Diffusion Sampling for multi-modal distributions Maxence Noble Louis Grenioux Marylou Gabrié Alain Durmus DiffM 31 2 0 25 Oct 2024
Scaling up Masked Diffusion Models on Text Shen Nie Fengqi Zhu Chao Du Tianyu Pang Qian Liu Guangtao Zeng Min-Bin Lin Chongxuan Li AI4CE 45 13 0 24 Oct 2024
Fast constrained sampling in pre-trained diffusion models Alexandros Graikos Nebojsa Jojic Dimitris Samaras DiffM 25 1 0 24 Oct 2024
Multi-Scale Diffusion: Enhancing Spatial Layout in High-Resolution Panoramic Image Generation Xiaoyu Zhang Teng Zhou Xinlong Zhang Jia Wei Yongchuan Tang 42 1 0 24 Oct 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong Shivam Agarwal Yizhe Zhang Jiacheng Ye Lin Zheng ... Peilin Zhao W. Bi Jiawei Han Hao Peng Lingpeng Kong AI4CE 75 15 0 23 Oct 2024
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 114 2 0 23 Oct 2024
TopoDiffusionNet: A Topology-aware Diffusion Model Saumya Gupta Dimitris Samaras C. L. P. Chen DiffM 36 4 0 22 Oct 2024
Progressive Compositionality in Text-to-Image Generative Models Xu Han Linghao Jin Xiaofeng Liu Paul Pu Liang CoGe 103 2 0 22 Oct 2024
Conjuring Semantic Similarity Tian Yu Liu Stefano Soatto DiffM 27 0 0 21 Oct 2024
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces Jifeng Hu Sili Huang Li Shen Zhejian Yang Shengchao Hu Shisong Tang H. Chen Yi-Ju Chang Dacheng Tao Lichao Sun OffRL 36 0 0 21 Oct 2024
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT Liam Moroy Guillaume Bourmaud Frédéric Champagnat Jean-François Giovannelli DiffM MedIm 40 0 0 21 Oct 2024
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye Jiahui Gao Shansan Gong Lin Zheng Xin Jiang Z. Li Lingpeng Kong DiffM LRM 46 15 0 18 Oct 2024
Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence A. Rybchuk Luis A. Martínez-Tossas Stefano Letizia N. Hamilton Andy Scholbrock Emina Maric Daniel R. Houck Thomas G. Herges Nathaniel B. de Velder P. Doubrawa AI4CE 26 0 0 17 Oct 2024
Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Mlodozeniec Runa Eschenhagen Juhan Bae Alexander Immer David Krueger Richard E. Turner TDI DiffM 75 4 0 17 Oct 2024
Probing the Latent Hierarchical Structure of Data via Diffusion Models Antonio Sclocchi Alessandro Favero Noam Itzhak Levi M. Wyart DiffM 33 3 0 17 Oct 2024
Preference Diffusion for Recommendation Shuo Liu An Zhang Guoqing Hu Hong Qian Tat-Seng Chua 53 1 0 17 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 31 0 0 16 Oct 2024
Training Neural Samplers with Reverse Diffusive KL Divergence Jiajun He Wenlin Chen Mingtian Zhang David Barber José Miguel Hernández-Lobato DiffM 37 4 0 16 Oct 2024
Preference Optimization with Multi-Sample Comparisons Chaoqi Wang Zhuokai Zhao Chen Zhu Karthik Abinav Sankararaman Michal Valko ... Zhaorun Chen Madian Khabsa Yuxin Chen Hao Ma Sinong Wang 64 10 0 16 Oct 2024
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation Jaehyun Park Yunho Kim Sejin Kim Byung-Jun Lee Sundong Kim OffRL 28 1 0 15 Oct 2024
A Simple Approach to Unifying Diffusion-based Conditional Generation Xirui Li Charles Herrmann Kelvin C.K. Chan Yinxiao Li Deqing Sun Chao Ma Ming Yang DiffM VLM 43 1 0 15 Oct 2024
Improving Long-Text Alignment for Text-to-Image Diffusion Models Luping Liu Chao Du Tianyu Pang Zehan Wang Chongxuan Li Dong Xu VLM 51 5 0 15 Oct 2024
Bayesian Experimental Design via Contrastive Diffusions Jacopo Iollo Christophe Heinkelé Pierre Alliez Florence Forbes 28 0 0 15 Oct 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen Markus Heinonen Arno Solin DiffM 110 0 0 15 Oct 2024
How to Backdoor Consistency Models? Chengen Wang Murat Kantarcioglu DiffM AAML 160 1 0 14 Oct 2024
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules Shikun Feng Yuyan Ni Yan Lu Zhi-Ming Ma Wei-Ying Ma Yanyan Lan 38 5 0 14 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 61 0 0 11 Oct 2024
SceneCraft: Layout-Guided 3D Scene Generation Xiuyu Yang Yunze Man Jun-Kun Chen Yu-Xiong Wang 3DV 82 8 0 11 Oct 2024
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation Jiatao Gu Yuyang Wang Yizhe Zhang Qihang Zhang Dinghuai Zhang Navdeep Jaitly Josh Susskind Shuangfei Zhai DiffM 31 12 0 10 Oct 2024
Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation Jiahao Cui Hui Li Yao Yao Hao Zhu Hanlin Shang Kaihui Cheng Hang Zhou Siyu Zhu Jingdong Wang DiffM VGen 38 22 0 10 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li Yuan Gao Jinda Lu Junfeng Fang Congcong Wen Hui Lin Xiang Wang 50 1 0 09 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 70 62 0 09 Oct 2024
Chemistry-Inspired Diffusion with Non-Differentiable Guidance Yuchen Shen Chenhao Zhang Sijie Fu Chenghui Zhou Newell Washburn Barnabás Póczos 50 0 0 09 Oct 2024
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing June Suk Choi Kyungmin Lee Jongheon Jeong Saining Xie Jinwoo Shin Kimin Lee DiffM AAML 33 2 0 08 Oct 2024
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design Jiachen Li Qian Long Jian Zheng Xiaofeng Gao Robinson Piramuthu Wenhu Chen William Yang Wang VGen 27 22 0 08 Oct 2024
Training-free Diffusion Model Alignment with Sampling Demons Po-Hung Yeh Kuang-Huei Lee Jun-Cheng Chen 39 4 0 08 Oct 2024
Pyramidal Flow Matching for Efficient Video Generative Modeling Yang Jin Zhicheng Sun Ningyuan Li Kun Xu K. Xu ... Nan Zhuang Quzhe Huang Yang Song Yadong Mu Zhouchen Lin VGen 66 65 0 08 Oct 2024
Understanding and Imitating Human-Robot Motion with Restricted Visual Fields Maulik Bhatt HongHao Zhen Monroe Kennedy III Negar Mehr 24 0 0 07 Oct 2024
Low-Rank Continual Personalization of Diffusion Models Łukasz Staniszewski Katarzyna Zaleska Kamil Deja DiffM 41 0 0 07 Oct 2024
Density estimation with LLMs: a geometric investigation of in-context learning trajectories Toni J. B. Liu Nicolas Boullé Raphael Sarfati Christopher Earls 28 0 0 07 Oct 2024
Presto! Distilling Steps and Layers for Accelerating Music Generation Zachary Novack Ge Zhu Jonah Casebeer Julian McAuley Taylor Berg-Kirkpatrick Nicholas J. Bryan 45 5 0 07 Oct 2024
Diffusion Models in 3D Vision: A Survey Zhen Wang Dongyuan Li Renhe Jiang Tianyu He Jiang Bian Renhe Jiang MedIm 66 4 0 07 Oct 2024
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress Christopher Agia Rohan Sinha Jingyun Yang Zi-ang Cao Rika Antonova Marco Pavone Jeannette Bohg 28 7 0 06 Oct 2024
Towards Unsupervised Blind Face Restoration using Diffusion Prior Tianshu Kuai Sina Honari Igor Gilitschenski Alex Levinshtein DiffM 33 0 0 06 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 34 0 0 04 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren Haoxuan Chen Grant M. Rotskoff Lexing Ying 47 3 0 04 Oct 2024