Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action

13 February 2023

Dong Xu

Papers citing "Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action"

35 / 35 papers shown

Title
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang Zixiang Chen Quanquan Gu DiffM 90 4 0 03 Oct 2024
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding Haitao Lin Yufei Huang Odin Zhang Siqi Ma Meng Liu X. Li Lirong Wu Shuiwang Ji Tingjun Hou Stan Z. Li DiffM 51 64 0 21 Nov 2022
Structure-based Drug Design with Equivariant Diffusion Models Arne Schneuing Yuanqi Du Charles Harris Arian R. Jamasb Ilia Igashov ... Pietro Lio Carla P. Gomes Max Welling Michael M. Bronstein B. Correia DiffM 69 210 0 24 Oct 2022
Metal Inpainting in CBCT Projections Using Score-based Generative Model Siyuan Mei F. Fan Andreas Maier DiffM MedIm 201 7 0 20 Sep 2022
Lossy Image Compression with Conditional Diffusion Models Ruihan Yang Stephan Mandt DiffM 47 131 0 14 Sep 2022
Diffusion-based Molecule Generation with Informative Prior Bridges Lemeng Wu Chengyue Gong Xingchao Liu Mao Ye Qiang Liu DiffM 63 110 0 02 Sep 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise Arpit Bansal Eitan Borgnia Hong-Min Chu Jie S. Li Hamid Kazemi Furong Huang Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 62 266 0 19 Aug 2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models Muzaffer Özbey Onat Dalmaz S. Dar H. Bedel cSaban Ozturk Alper Gungor Tolga cCukur DiffM MedIm 70 281 0 17 Jul 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations Min Zhao Fan Bao Chongxuan Li Jun Zhu DiffM 82 192 0 14 Jul 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 62 82 0 13 Jun 2022
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem Brian L. Trippe Jason Yim D. Tischer D. Baker Tamara Broderick Regina Barzilay Tommi Jaakkola DiffM 34 235 0 08 Jun 2022
Diffusion-GAN: Training GANs with Diffusion Zhendong Wang Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 49 225 0 05 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 167 1,394 0 02 Jun 2022
Torsional Diffusion for Molecular Conformer Generation Bowen Jing Gabriele Corso Jeffrey Chang Regina Barzilay Tommi Jaakkola DiffM BDL 69 266 0 01 Jun 2022
Improved Vector Quantized Diffusion Models Zhicong Tang Shuyang Gu Jianmin Bao Dong Chen Fang Wen DiffM 208 63 0 31 May 2022
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models N. Anand Tudor Achim DiffM 206 174 0 26 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 312 6,768 0 13 Apr 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 158 1,563 0 07 Apr 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu Lantao Yu Yang Song Chence Shi Stefano Ermon Jian Tang BDL DiffM 120 502 0 06 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 205 30,069 0 01 Mar 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds Luping Liu Yi Ren Zhijie Lin Zhou Zhao DiffM 90 640 0 20 Feb 2022
Step-unrolled Denoising Autoencoders for Text Generation Nikolay Savinov Junyoung Chung Mikolaj Binkowski Erich Elsen Aaron van den Oord DiffM 66 118 0 13 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 240 526 0 06 Dec 2021
SegDiff: Image Segmentation with Diffusion Probabilistic Models Tomer Amit Tal Shaharbany Eliya Nachmani Lior Wolf DiffM 68 299 0 01 Dec 2021
Score-Based Generative Classifiers Roland S. Zimmermann Lukas Schott Yang Song Benjamin A. Dunn David A. Klindt DiffM 51 64 0 01 Oct 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 109 900 0 07 Jul 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 39 667 0 10 Jun 2021
Equivariant Graph Neural Networks for 3D Macromolecular Structure Bowen Jing Stephan Eismann Pratham N. Soni R. Dror 39 100 0 07 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 132 1,196 0 30 May 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 116 648 0 22 Jan 2021
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 97 1,429 0 21 Sep 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 182 1,135 0 16 Jun 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 163 1,662 0 05 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 200 3,803 0 12 Jul 2019
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 397 16,962 0 20 Dec 2013