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Deep Unsupervised Learning using Nonequilibrium Thermodynamics

12 March 2015

Jascha Narain Sohl-Dickstein

Papers citing "Deep Unsupervised Learning using Nonequilibrium Thermodynamics"

50 / 4,616 papers shown

Title
Multi-Resolution Continuous Normalizing Flows Vikram S. Voleti Chris Finlay Adam M. Oberman Christopher Pal 94 4 0 15 Jun 2021
Non Gaussian Denoising Diffusion Models Eliya Nachmani Robin San Roman Lior Wolf VLM DiffM 83 50 0 14 Jun 2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis Simon Rouard Gaëtan Hadjeres DiffM 47 43 0 14 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 135 121 0 12 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 85 89 0 11 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 104 688 0 10 Jun 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 85 32 0 09 Jun 2021
Densely connected normalizing flows Matej Grcić Ivan Grubišić Sinisa Segvic TPM 99 59 0 08 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 118 139 0 07 Jun 2021
On Memorization in Probabilistic Deep Generative Models G. V. D. Burg Christopher K. I. Williams TDI 95 63 0 06 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 129 195 0 05 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 194 477 0 01 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models Zhifeng Kong Ming-Yu Liu DiffM 92 200 0 31 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 231 1,244 0 30 May 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 87 58 0 29 May 2021
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion Songxiang Liu Yuewen Cao Jane Polak Scowcroft Helen Meng DiffM 86 59 0 28 May 2021
ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All You Need For Audio Generation Shoule Wu Ziqiang Shi DiffM 157 11 0 17 May 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov DiffM 117 544 0 13 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 423 8,010 0 11 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism Jinglin Liu Chengxi Li Yi Ren Feiyang Chen Zhou Zhao DiffM 183 271 0 06 May 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Haoying Li Yifan Yang Meng Chang H. Feng Zhi-hai Xu Qi Li Yue-ting Chen DiffM 112 645 0 30 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 317 513 0 20 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 94 25 0 20 Apr 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models Hiroshi Sasaki Chris G. Willcocks T. Breckon DiffM 62 167 0 12 Apr 2021
3D Shape Generation and Completion through Point-Voxel Diffusion Linqi Zhou Yilun Du Jiajun Wu DiffM 142 528 0 08 Apr 2021
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 129 43 0 06 Apr 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 131 107 0 06 Apr 2021
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling Junhyeok Lee Seungu Han DiffM 76 70 0 06 Apr 2021
Symbolic Music Generation with Diffusion Models Gautam Mittal Jesse Engel Curtis Hawthorne Ian Simon MGen DiffM 99 194 0 30 Mar 2021
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng Jiaming Song Yang Song Shengjia Zhao Stefano Ermon DiffM 76 23 0 28 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 176 510 0 08 Mar 2021
Learning to Generate 3D Shapes with Generative Cellular Automata Dongsu Zhang Changwoon Choi Jeonghwan Kim Y. Kim 76 24 0 06 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 275 749 0 02 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 359 3,747 0 18 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 308 429 0 10 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 182 320 0 28 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 230 676 0 22 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 104 265 0 09 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 247 282 0 07 Jan 2021
RBM-Flow and D-Flow: Invertible Flows with Discrete Energy Base Spaces Daniel O'Connor W. Vinci 11 1 0 24 Dec 2020
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 105 128 0 15 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 141 144 0 02 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 568 6,606 0 26 Nov 2020
Diffusion models for Handwriting Generation Troy Luhman Eric Luhman DiffM 82 25 0 13 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 334 7,531 0 06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 222 1,471 0 21 Sep 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 89 126 0 11 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 158 795 0 02 Sep 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows Didrik Nielsen P. Jaini Emiel Hoogeboom Ole Winther Max Welling TPM BDL DRL 84 92 0 06 Jul 2020
Thermodynamic Machine Learning through Maximum Work Production A. B. Boyd James P. Crutchfield M. Gu AI4CE 104 17 0 27 Jun 2020