Deep Unsupervised Learning using Nonequilibrium Thermodynamics

12 March 2015

Jascha Narain Sohl-Dickstein

Papers citing "Deep Unsupervised Learning using Nonequilibrium Thermodynamics"

50 / 1,389 papers shown

Title
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models Hyeonho Jeong Gihyun Kwon Jong Chul Ye 40 20 0 08 Feb 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi Matthew Tivnan J. W. Stayman Jeremias Sulam DiffM 35 28 0 07 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov VLM DiffM 32 232 0 07 Feb 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference Pablo Lemos A. Coogan Y. Hezaveh Laurence Perreault Levasseur 40 30 0 06 Feb 2023
DDM $^2$ : Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models Tiange Xiang Mahmut Yurt Ali B. Syed Kawin Setsompop Akshay S. Chaudhari MedIm DiffM 33 54 0 06 Feb 2023
Structure and Content-Guided Video Synthesis with Diffusion Models Patrick Esser Johnathan Chiu Parmida Atighehchian Jonathan Granskog Anastasis Germanidis DiffM VGen 94 509 0 06 Feb 2023
Mixture of Diffusers for scene composition and high resolution image generation Á. Jiménez DiffM 21 45 0 05 Feb 2023
Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy Yufei Huang Lirong Wu Haitao Lin Jiangbin Zheng Ge Wang Stan Z. Li DiffM 33 14 0 05 Feb 2023
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity Vincent Souveton Arnaud Guillin J. Jasche G. Lavaux Manon Michel 23 3 0 03 Feb 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners Zhixuan Liang Yao Mu Mingyu Ding Fei Ni Masayoshi Tomizuka Ping Luo 80 101 0 03 Feb 2023
Dreamix: Video Diffusion Models are General Video Editors Eyal Molad Eliahu Horwitz Dani Valevski Alex Rav-Acha Yossi Matias Yael Pritch Yaniv Leviathan Yedid Hoshen DiffM VGen 27 181 0 02 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks? Jinhao Duan Fei Kong Shiqi Wang Xiaoshuang Shi Kaidi Xu 35 109 0 02 Feb 2023
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models Xiangming Meng Y. Kabashima 45 1 0 02 Feb 2023
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models Hila Chefer Yuval Alaluf Yael Vinker Lior Wolf Daniel Cohen-Or DiffM 73 498 0 31 Jan 2023
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt Dongchao Yang Songxiang Liu Rongjie Huang Chao Weng Helen Meng DiffM VLM 31 85 0 31 Jan 2023
ArchiSound: Audio Generation with Diffusion Flavio Schneider 21 23 0 30 Jan 2023
Extracting Training Data from Diffusion Models Nicholas Carlini Jamie Hayes Milad Nasr Matthew Jagielski Vikash Sehwag Florian Tramèr Borja Balle Daphne Ippolito Eric Wallace DiffM 63 572 0 30 Jan 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis Ming Tao Bingkun Bao Hao Tang Changsheng Xu DiffM VLM 77 101 0 30 Jan 2023
A theory of continuous generative flow networks Salem Lahlou T. Deleu Pablo Lemos Dinghuai Zhang Alexandra Volokhova Alex Hernández-García Léna Néhale Ezzine Yoshua Bengio Nikolay Malkin AI4CE 42 79 0 30 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models Soo Bin Um Suhyeon Lee Jong Chul Ye DiffM 31 22 0 29 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 46 53 0 27 Jan 2023
Image Restoration with Mean-Reverting Stochastic Differential Equations Ziwei Luo Fredrik K. Gustafsson Zheng Zhao Jens Sjölund Thomas B. Schon DiffM 44 156 0 27 Jan 2023
A Denoising Diffusion Model for Fluid Field Prediction Gefan Yang Stefan Sommer DiffM AI4CE 36 27 0 27 Jan 2023
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion Ching-Yi Cheng Forrest Huang Gang Li Yang Li DiffM 19 29 0 27 Jan 2023
Simple diffusion: End-to-end diffusion for high resolution images Emiel Hoogeboom Jonathan Heek Tim Salimans 31 251 0 26 Jan 2023
Understanding and contextualising diffusion models Stefano Scotta A. Messina DiffM 32 1 0 26 Jan 2023
Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 13 10 0 24 Jan 2023
Explaining the effects of non-convergent sampling in the training of Energy-Based Models E. Agoritsas Giovanni Catania A. Decelle Beatriz Seoane DiffM 17 10 0 23 Jan 2023
Regular Time-series Generation using SGM Haksoo Lim Minjung Kim Sewon Park Noseong Park DiffM TTA AI4TS 33 23 0 20 Jan 2023
Diffusion-based Conditional ECG Generation with Structured State Space Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM 38 48 0 19 Jan 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs Fabian Falck Christopher Williams D. Danks George Deligiannidis C. Yau Chris Holmes Arnaud Doucet M. Willetts 36 8 0 19 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning Emanuele Aiello D. Valsesia E. Magli DiffM 22 4 0 19 Jan 2023
Warning: Humans Cannot Reliably Detect Speech Deepfakes Kimberly T. Mai Sergi D. Bray Toby O. Davies Lewis D. Griffin 41 40 0 19 Jan 2023
Masked Vector Quantization David D. Nguyen David Leibowitz Surya Nepal S. Kanhere MQ 26 0 0 16 Jan 2023
Msanii: High Fidelity Music Synthesis on a Shoestring Budget Kinyugo Maina 32 5 0 16 Jan 2023
Diffusion-based Generation, Optimization, and Planning in 3D Scenes Siyuan Huang Zan Wang Puhao Li Baoxiong Jia Tengyu Liu Yixin Zhu Wei Liang Song-Chun Zhu DiffM 64 201 0 15 Jan 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 11 26 0 13 Jan 2023
A Comprehensive Review of Data-Driven Co-Speech Gesture Generation Simbarashe Nyatsanga Taras Kucherenko Chaitanya Ahuja G. Henter Michael Neff SLR 44 90 0 13 Jan 2023
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models Mengyi Zhao Mengyuan Liu Bin Ren Shuling Dai N. Sebe DiffM VGen 32 20 0 10 Jan 2023
ANNA: Abstractive Text-to-Image Synthesis with Filtered News Captions Aashish Anantha Ramakrishnan Sharon X. Huang Dongwon Lee 24 5 0 05 Jan 2023
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data Jumin Lee Woobin Im Sebin Lee Sung-eui Yoon DiffM 32 15 0 02 Jan 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang Leilei Sun Bowen Du Weifeng Lv 45 40 0 01 Jan 2023
Exploring Vision Transformers as Diffusion Learners He Cao Jianan Wang Tianhe Ren Xianbiao Qi Yihao Chen Yuan Yao Lefei Zhang 44 10 0 28 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models Zijian Zhang Zhou Zhao Zhijie Lin DiffM 35 52 0 26 Dec 2022
Your diffusion model secretly knows the dimension of the data manifold Jan Stanczuk Georgios Batzolis Teo Deveney Carola-Bibiane Schönlieb DiffM 34 25 0 23 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 31 7 0 22 Dec 2022
The Inverse of Exact Renormalization Group Flows as Statistical Inference D. Berman Marc S. Klinger 18 15 0 21 Dec 2022
Latent Diffusion for Language Generation Justin Lovelace Varsha Kishore Chao-gang Wan Eliot Shekhtman Kilian Q. Weinberger DiffM 29 71 0 19 Dec 2022
Empowering Diffusion Models on the Embedding Space for Text Generation Zhujin Gao Junliang Guo Xuejiao Tan Yongxin Zhu Fang Zhang Jiang Bian Linli Xu DiffM 35 15 0 19 Dec 2022
AI Art in Architecture J. Ploennigs Markus Berger DiffM 40 66 0 19 Dec 2022