EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models

11 May 2021

Papers citing "EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models"

22 / 22 papers shown

Title
Learning Gradient Fields for Molecular Conformation Generation Chence Shi Shitong Luo Minkai Xu Jian Tang DiffM AI4CE 70 214 0 09 May 2021
Iterative SE(3)-Transformers F. Fuchs E. Wagstaff Justas Dauparas Ingmar Posner 33 17 0 26 Feb 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 64 256 0 09 Jan 2021
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis Jianwen Xie Zilong Zheng Ruiqi Gao Wenguan Wang Song-Chun Zhu Ying Nian Wu 3DV 62 50 0 25 Dec 2020
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 89 111 0 20 Dec 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 125 689 0 18 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 191 1,145 0 16 Jun 2020
Energy-based models for atomic-resolution protein conformations Yilun Du Joshua Meier Jerry Ma Rob Fergus Alexander Rives 44 57 0 27 Apr 2020
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification Jianwen Xie Yifei Xu Zilong Zheng Song-Chun Zhu Ying Nian Wu 3DPC 111 82 0 02 Apr 2020
ReZero is All You Need: Fast Convergence at Large Depth Thomas C. Bachlechner Bodhisattwa Prasad Majumder H. H. Mao G. Cottrell Julian McAuley AI4CE 66 279 0 10 Mar 2020
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns Jianwen Xie Song-Chun Zhu Ying Nian Wu GAN 58 52 0 26 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 213 3,870 0 12 Jul 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 94 415 0 17 May 2019
CCNet: Criss-Cross Attention for Semantic Segmentation Zilong Huang Xinggang Wang Yunchao Wei Lichao Huang Humphrey Shi Wenyu Liu Chang Huang VOS 180 2,540 0 28 Nov 2018
Learning deep kernels for exponential family densities W. Li Danica J. Sutherland Heiko Strathmann Arthur Gretton BDL 41 74 0 20 Nov 2018
Learning Descriptor Networks for 3D Shape Synthesis and Analysis Jianwen Xie Zilong Zheng Ruiqi Gao Wenguan Wang Song-Chun Zhu Ying Nian Wu GAN 3DV 59 146 0 02 Apr 2018
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 118 7,339 0 27 Oct 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 378 26,365 0 05 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 624 130,942 0 12 Jun 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 83 1,339 0 27 Feb 2017
A Theory of Generative ConvNet Jianwen Xie Yang Lu Song-Chun Zhu Ying Nian Wu DiffM GAN 83 321 0 10 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014