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Symmetry-Aware Actor-Critic for 3D Molecular Design

Symmetry-Aware Actor-Critic for 3D Molecular Design

25 November 2020
G. Simm
Robert Pinsler
Gábor Csányi
José Miguel Hernández-Lobato
    AI4CE
ArXivPDFHTML

Papers citing "Symmetry-Aware Actor-Critic for 3D Molecular Design"

48 / 48 papers shown
Title
Clifford Group Equivariant Diffusion Models for 3D Molecular Generation
Clifford Group Equivariant Diffusion Models for 3D Molecular Generation
Cong Liu
Sharvaree P. Vadgama
David Ruhe
Erik J Bekkers
Patrick Forré
DiffM
22
0
0
22 Apr 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning
Symmetries-enhanced Multi-Agent Reinforcement Learning
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
73
0
0
02 Jan 2025
Rectified Flow For Structure Based Drug Design
Rectified Flow For Structure Based Drug Design
Daiheng Zhang
Chengyue Gong
Qiang Liu
DiffM
75
0
0
02 Dec 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with
  Geometric, Topological, and Algebraic Structures
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Sophia Sanborn
Johan Mathe
Mathilde Papillon
Domas Buracas
Hansen Lillemark
Christian Shewmake
Abby Bertics
Xavier Pennec
Nina Miolane
56
4
0
12 Jul 2024
Molecular relaxation by reverse diffusion with time step prediction
Molecular relaxation by reverse diffusion with time step prediction
Khaled Kahouli
Stefaan S. P. Hessmann
Klaus-Robert Muller
Shinichi Nakajima
Stefan Gugler
Niklas W. A. Gebauer
DiffM
34
5
0
16 Apr 2024
Overcoming Order in Autoregressive Graph Generation
Overcoming Order in Autoregressive Graph Generation
Edo Cohen-Karlik
Eyal Rozenberg
Daniel Freedman
30
1
0
04 Feb 2024
FREED++: Improving RL Agents for Fragment-Based Molecule Generation by
  Thorough Reproduction
FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction
Alexander Telepov
Artem Tsypin
Kuzma Khrabrov
Sergey Yakukhnov
Pavel Strashnov
...
Egor Rumiantsev
Daniel Ezhov
Manvel Avetisian
Olga Popova
Artur Kadurin
25
4
0
18 Jan 2024
De novo Drug Design using Reinforcement Learning with Multiple GPT
  Agents
De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
Xiuyuan Hu
Guoqing Liu
Yang Zhao
Hao Zhang
13
19
0
21 Dec 2023
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for
  Molecule Generation
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation
Ameya Daigavane
Song Kim
Mario Geiger
Tess E. Smidt
20
8
0
27 Nov 2023
On Accelerating Diffusion-based Molecular Conformation Generation in SE(3)-invariant Space
Zihan Zhou
Ruiying Liu
Tianshu Yu
DiffM
30
0
0
07 Oct 2023
Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in
  Position-Orientation Space
Fast, Expressive SE(n)(n)(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space
Erik J. Bekkers
Sharvaree P. Vadgama
Rob D. Hesselink
P. A. V. D. Linden
David W. Romero
13
24
0
04 Oct 2023
Molecular Conformation Generation via Shifting Scores
Molecular Conformation Generation via Shifting Scores
Zihan Zhou
Ruiying Liu
Chaolong Ying
Ruimao Zhang
Tianshu Yu
DiffM
29
2
0
12 Sep 2023
3D molecule generation by denoising voxel grids
3D molecule generation by denoising voxel grids
Pedro H. O. Pinheiro
Joshua Rackers
J. Kleinhenz
Michael R. Maser
Omar Mahmood
Andrew Watkins
Stephen Ra
Vishnu Sresht
Saeed Saremi
DiffM
34
20
0
13 Jun 2023
Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation
Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation
Han Huang
Leilei Sun
Bowen Du
Weifeng Lv
DiffM
20
16
0
21 May 2023
Generation of 3D Molecules in Pockets via Language Model
Generation of 3D Molecules in Pockets via Language Model
Wei Feng
L. Wang
Zaiyun Lin
Yanhao Zhu
Han Wang
...
Huting Wang
Jielong Zhou
Wei Peng
Bo Huang
Wenbiao Zhou
31
28
0
17 May 2023
3D Equivariant Diffusion for Target-Aware Molecule Generation and
  Affinity Prediction
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
Jiaqi Guan
Wesley Wei Qian
Xingang Peng
Yufeng Su
Jian-wei Peng
Jianzhu Ma
DiffM
23
162
0
06 Mar 2023
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
Wenhao Hu
Yingying Liu
Xuanyu Chen
Wenhao Chai
Hangyue Chen
Hongwei Wang
Gaoang Wang
58
10
0
01 Mar 2023
Near-optimal Policy Identification in Active Reinforcement Learning
Near-optimal Policy Identification in Active Reinforcement Learning
Xiang Li
Viraj Mehta
Johannes Kirschner
I. Char
W. Neiswanger
J. Schneider
Andreas Krause
Ilija Bogunovic
OffRL
35
6
0
19 Dec 2022
SchNetPack 2.0: A neural network toolbox for atomistic machine learning
SchNetPack 2.0: A neural network toolbox for atomistic machine learning
Kristof T. Schütt
Stefaan S. P. Hessmann
Niklas W. A. Gebauer
Jonas Lederer
M. Gastegger
11
59
0
11 Dec 2022
Automating Rigid Origami Design
Automating Rigid Origami Design
Jeremia Geiger
Karolis Martinkus
Oliver Richter
Roger Wattenhofer
14
1
0
20 Nov 2022
Equivariant Networks for Zero-Shot Coordination
Equivariant Networks for Zero-Shot Coordination
Darius Muglich
Christian Schroeder de Witt
Elise van der Pol
Shimon Whiteson
Jakob N. Foerster
45
13
0
21 Oct 2022
Equivariant Shape-Conditioned Generation of 3D Molecules for
  Ligand-Based Drug Design
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design
Keir Adams
Connor W. Coley
34
25
0
06 Oct 2022
Atomistic structure search using local surrogate mode
Atomistic structure search using local surrogate mode
Nikolaj Rønne
Mads-Peter V. Christiansen
A. Slavensky
Ze-Hua Tang
F. Brix
Mikkel Elkjaer Pedersen
M. K. Bisbo
B. Hammer
19
13
0
19 Aug 2022
Cluster Generation via Deep Energy-Based Model
Cluster Generation via Deep Energy-Based Model
A. Y. Artsukevich
S. Lepeshkin
21
0
0
17 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix
Maximum Class Separation as Inductive Bias in One Matrix
Tejaswi Kasarla
Gertjan J. Burghouts
Max van Spengler
Elise van der Pol
Rita Cucchiara
Pascal Mettes
26
22
0
17 Jun 2022
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular
  Graphs
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
Limei Wang
Yi Liu
Yu-Ching Lin
Hao Liu
Shuiwang Ji
GNN
36
89
0
17 Jun 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular
  Linker Design
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
Yinan Huang
Xing Peng
Jianzhu Ma
Muhan Zhang
BDL
28
47
0
15 May 2022
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Xingang Peng
Shitong Luo
Jiaqi Guan
Qi Xie
Jian-wei Peng
Jianzhu Ma
22
176
0
15 May 2022
3D pride without 2D prejudice: Bias-controlled multi-level generative
  models for structure-based ligand design
3D pride without 2D prejudice: Bias-controlled multi-level generative models for structure-based ligand design
Lucian Chan
Rajendra Kumar
M. Verdonk
C. Poelking
DiffM
AI4CE
17
2
0
22 Apr 2022
Equivariant Diffusion for Molecule Generation in 3D
Equivariant Diffusion for Molecule Generation in 3D
Emiel Hoogeboom
Victor Garcia Satorras
Clément Vignac
Max Welling
DiffM
30
570
0
31 Mar 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for
  Molecule Design
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Yuanqi Du
Tianfan Fu
Jimeng Sun
Shengchao Liu
AI4CE
25
86
0
28 Mar 2022
A 3D Generative Model for Structure-Based Drug Design
A 3D Generative Model for Structure-Based Drug Design
Shitong Luo
Jiaqi Guan
Jianzhu Ma
Jian-wei Peng
DiffM
65
178
0
20 Mar 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
18
495
0
06 Mar 2022
Scalable Fragment-Based 3D Molecular Design with Reinforcement Learning
Scalable Fragment-Based 3D Molecular Design with Reinforcement Learning
Daniel Flam-Shepherd
A. Zhigalin
A. Aspuru‐Guzik
AI4CE
12
12
0
01 Feb 2022
Reinforcement Learning for Personalized Drug Discovery and Design for
  Complex Diseases: A Systems Pharmacology Perspective
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective
Ryan K. Tan
Yang Liu
Lei Xie
29
2
0
21 Jan 2022
Surrogate- and invariance-boosted contrastive learning for data-scarce
  applications in science
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science
Charlotte Loh
T. Christensen
Rumen Dangovski
Samuel Kim
Marin Soljacic
24
16
0
15 Oct 2021
An In-depth Summary of Recent Artificial Intelligence Applications in
  Drug Design
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design
Yi Zhang
AI4CE
28
4
0
10 Oct 2021
Multi-Agent MDP Homomorphic Networks
Multi-Agent MDP Homomorphic Networks
Elise van der Pol
H. V. Hoof
F. Oliehoek
Max Welling
AI4CE
44
28
0
09 Oct 2021
Inverse design of 3d molecular structures with conditional generative
  neural networks
Inverse design of 3d molecular structures with conditional generative neural networks
Niklas W. A. Gebauer
M. Gastegger
Stefaan S. P. Hessmann
Klaus-Robert Muller
Kristof T. Schütt
AI4CE
187
166
0
10 Sep 2021
Generating stable molecules using imitation and reinforcement learning
Generating stable molecules using imitation and reinforcement learning
S. A. Meldgaard
Jonas Köhler
H. L. Mortensen
Mads-Peter V. Christiansen
Frank Noé
B. Hammer
173
13
0
11 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Rui Wang
Rose Yu
AI4CE
PINN
37
64
0
02 Jul 2021
Particle Cloud Generation with Message Passing Generative Adversarial
  Networks
Particle Cloud Generation with Message Passing Generative Adversarial Networks
Raghav Kansal
Javier Mauricio Duarte
Haoran Su
B. Orzari
T. Tomei
M. Pierini
M. Touranakou
J. Vlimant
Dimitrios Gunopulos
11
75
0
22 Jun 2021
Augmenting Molecular Deep Generative Models with Topological Data
  Analysis Representations
Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations
Yair Schiff
Vijil Chenthamarakshan
Samuel C. Hoffman
K. Ramamurthy
Payel Das
MedIm
22
9
0
08 Jun 2021
An End-to-End Framework for Molecular Conformation Generation via
  Bilevel Programming
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
Minkai Xu
Wujie Wang
Shitong Luo
Chence Shi
Yoshua Bengio
Rafael Gómez-Bombarelli
Jian Tang
3DV
29
78
0
15 May 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
31
210
0
09 May 2021
Learning to design drug-like molecules in three-dimensional space using
  deep generative models
Learning to design drug-like molecules in three-dimensional space using deep generative models
Yibo Li
Jianfeng Pei
L. Lai
DiffM
27
111
0
17 Apr 2021
Equivariant message passing for the prediction of tensorial properties
  and molecular spectra
Equivariant message passing for the prediction of tensorial properties and molecular spectra
Kristof T. Schütt
Oliver T. Unke
M. Gastegger
14
511
0
05 Feb 2021
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
200
885
0
07 Jun 2018
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