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On Accelerating Diffusion-based Molecular Conformation Generation in SE(3)-invariant Space

7 October 2023
Zihan Zhou
Ruiying Liu
Tianshu Yu
    DiffM
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Papers citing "On Accelerating Diffusion-based Molecular Conformation Generation in SE(3)-invariant Space"

14 / 14 papers shown
Title
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
131
576
0
02 Nov 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps
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
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing
Gabriele Corso
Jeffrey Chang
Regina Barzilay
Tommi Jaakkola
DiffM
BDL
69
266
0
01 Jun 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation
  Generation
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu
Lantao Yu
Yang Song
Chence Shi
Stefano Ermon
Jian Tang
BDL
DiffM
118
502
0
06 Mar 2022
Direct Molecular Conformation Generation
Direct Molecular Conformation Generation
Jinhua Zhu
Yingce Xia
Chang-Shu Liu
Lijun Wu
Shufang Xie
...
Tao Qin
Wen-gang Zhou
Houqiang Li
Haiguang Liu
Tie-Yan Liu
52
41
0
03 Feb 2022
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer
  Ensembles
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
O. Ganea
L. Pattanaik
Connor W. Coley
Regina Barzilay
K. Jensen
W. Green
Tommi Jaakkola
AI4CE
75
136
0
08 Jun 2021
Learning Gradient Fields for Molecular Conformation Generation
Learning Gradient Fields for Molecular Conformation Generation
Chence Shi
Shitong Luo
Minkai Xu
Jian Tang
DiffM
AI4CE
68
214
0
09 May 2021
Learning Neural Generative Dynamics for Molecular Conformation
  Generation
Learning Neural Generative Dynamics for Molecular Conformation Generation
Minkai Xu
Shitong Luo
Yoshua Bengio
Jian-wei Peng
Jian Tang
AI4CE
66
117
0
20 Feb 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
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
279
6,293
0
26 Nov 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
107
683
0
18 Jun 2020
GEOM: Energy-annotated molecular conformations for property prediction
  and molecular generation
GEOM: Energy-annotated molecular conformations for property prediction and molecular generation
Simon Axelrod
Rafael Gómez-Bombarelli
3DV
AI4CE
57
214
0
09 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
193
3,803
0
12 Jul 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
193
7,554
0
01 Oct 2018
SchNet: A continuous-filter convolutional neural network for modeling
  quantum interactions
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt
Pieter-Jan Kindermans
Huziel Enoc Sauceda Felix
Stefan Chmiela
A. Tkatchenko
K. Müller
127
1,069
0
26 Jun 2017
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