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GeoDiff: a Geometric Diffusion Model for Molecular Conformation
  Generation

GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

6 March 2022
Minkai Xu
Lantao Yu
Yang Song
Chence Shi
Stefano Ermon
Jian Tang
    BDL
    DiffM
ArXivPDFHTML

Papers citing "GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation"

50 / 330 papers shown
Title
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
Clément Vignac
Nagham Osman
Laura Toni
P. Frossard
DiffM
53
50
0
17 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
33
118
0
16 Feb 2023
Score-based Diffusion Models in Function Space
Score-based Diffusion Models in Function Space
Jae Hyun Lim
Nikola B. Kovachki
Ricardo Baptista
Christopher Beckham
Kamyar Azizzadenesheli
...
Karsten Kreis
Jan Kautz
Christopher Pal
Arash Vahdat
Anima Anandkumar
DiffM
77
37
0
14 Feb 2023
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix
  Embedding
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding
Zhangyang Gao
Yuqi Hu
Cheng Tan
Stan Z. Li
34
13
0
14 Feb 2023
Do Deep Learning Methods Really Perform Better in Molecular Conformation
  Generation?
Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?
G. Zhou
Zhifeng Gao
Zhewei Wei
Hang Zheng
Guolin Ke
OOD
AI4CE
BDL
33
15
0
14 Feb 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning
  Revolution in Action
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action
Zhiye Guo
Jian Liu
Yanli Wang
Mengrui Chen
Duolin Wang
Dong Xu
Jianlin Cheng
MedIm
AI4CE
DiffM
46
22
0
13 Feb 2023
Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic
  Collaborative Filtering
Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering
Bosong Huang
Weihao Yu
Ruzhong Xie
Jing Xiao
Jin Huang
38
0
0
09 Feb 2023
Geometry-Complete Diffusion for 3D Molecule Generation and Optimization
Geometry-Complete Diffusion for 3D Molecule Generation and Optimization
Alex Morehead
Jianlin Cheng
DiffM
14
23
0
08 Feb 2023
Q-Diffusion: Quantizing Diffusion Models
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li
Yijia Liu
Long Lian
Hua Yang
Zhen Dong
Daniel Kang
Shanghang Zhang
Kurt Keutzer
DiffM
MQ
38
152
0
08 Feb 2023
Machine Learning for Synthetic Data Generation: A Review
Machine Learning for Synthetic Data Generation: A Review
Ying-Cheng Lu
Minjie Shen
Huazheng Wang
Xiao Wang
Capucine Van Rechem
Tianfan Fu
Wenqi Wei
SyDa
42
140
0
08 Feb 2023
HumanMAC: Masked Motion Completion for Human Motion Prediction
HumanMAC: Masked Motion Completion for Human Motion Prediction
Ling-Hao Chen
Jiawei Zhang
Ye-rong Li
Yiren Pang
Xiaobo Xia
Tongliang Liu
DiffM
VGen
32
56
0
07 Feb 2023
DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative
  Diffusion Models
DDM2^22: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
Tiange Xiang
Mahmut Yurt
Ali B. Syed
K. Setsompop
Akshay S. Chaudhari
MedIm
DiffM
33
54
0
06 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications
Generative Diffusion Models on Graphs: Methods and Applications
Junfeng Fang
Wenqi Fan
Yunqing Liu
Jiatong Li
Hang Li
Hui Liu
Jiliang Tang
Qing Li
MedIm
DiffM
34
58
0
06 Feb 2023
SE(3) diffusion model with application to protein backbone generation
SE(3) diffusion model with application to protein backbone generation
Jason Yim
Brian L. Trippe
Valentin De Bortoli
Emile Mathieu
Arnaud Doucet
Regina Barzilay
Tommi Jaakkola
DiffM
20
195
0
05 Feb 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning
  Time-Coarsened Dynamics
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Leon Klein
Andrew Y. K. Foong
T. E. Fjelde
Bruno Mlodozeniec
Marc Brockschmidt
Sebastian Nowozin
Frank Noé
Ryota Tomioka
AI4CE
37
42
0
02 Feb 2023
Stable Target Field for Reduced Variance Score Estimation in Diffusion
  Models
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models
Yilun Xu
Shangyuan Tong
Tommi Jaakkola
DiffM
20
26
0
01 Feb 2023
End-to-End Full-Atom Antibody Design
End-to-End Full-Atom Antibody Design
Xiangzhe Kong
Wenbing Huang
Yang Liu
22
49
0
01 Feb 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion
  Trajectory Prediction
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
Zuobai Zhang
Minghao Xu
A. Lozano
Vijil Chenthamarakshan
Payel Das
Jian Tang
DiffM
19
19
0
28 Jan 2023
DiffSDS: A language diffusion model for protein backbone inpainting
  under geometric conditions and constraints
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints
Zhangyang Gao
Cheng Tan
Stan Z. Li
DiffM
29
19
0
22 Jan 2023
Domain-agnostic and Multi-level Evaluation of Generative Models
Domain-agnostic and Multi-level Evaluation of Generative Models
G. Tadesse
Jannis Born
C. Cintas
William Ogallo
Dmitry Zubarev
Matteo Manica
Komminist Weldemariam
ELM
29
1
0
20 Jan 2023
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
Jumin Lee
Woobin Im
Sebin Lee
Sung-eui Yoon
DiffM
27
15
0
02 Jan 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular
  Graph Generation
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
Han Huang
Leilei Sun
Bowen Du
Weifeng Lv
45
40
0
01 Jan 2023
Dynamic Molecular Graph-based Implementation for Biophysical Properties
  Prediction
Dynamic Molecular Graph-based Implementation for Biophysical Properties Prediction
C. Knutson
G. Panapitiya
R. Varikoti
Neeraj Kumar
AI4CE
28
0
0
20 Dec 2022
How to Backdoor Diffusion Models?
How to Backdoor Diffusion Models?
Sheng-Yen Chou
Pin-Yu Chen
Tsung-Yi Ho
DiffM
SILM
19
95
0
11 Dec 2022
Executing your Commands via Motion Diffusion in Latent Space
Executing your Commands via Motion Diffusion in Latent Space
Xin Chen
Biao Jiang
Wen Liu
Zilong Huang
Bin-Bin Fu
Tao Chen
Jingyi Yu
Gang Yu
VGen
DiffM
25
337
0
08 Dec 2022
Integration of Pre-trained Protein Language Models into Geometric Deep
  Learning Networks
Integration of Pre-trained Protein Language Models into Geometric Deep Learning Networks
Fang Wu
Yujun Tao
Dragomir R. Radev
Jinbo Xu
Stan Z. Li
AI4CE
33
32
0
07 Dec 2022
Improving Molecule Properties Through 2-Stage VAE
Improving Molecule Properties Through 2-Stage VAE
Chenghui Zhou
Barnabás Póczós
DRL
28
1
0
06 Dec 2022
Score-based denoising for atomic structure identification
Score-based denoising for atomic structure identification
Tim Hsu
Babak Sadigh
N. Bertin
Cheol Woo Park
James Chapman
Vasily V. Bulatov
Fei Zhou
DiffM
40
6
0
05 Dec 2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
Norman Muller
Yawar Siddiqui
Lorenzo Porzi
Samuel Rota Buló
Peter Kontschieder
Matthias Nießner
46
185
0
02 Dec 2022
Diffusion Generative Models in Infinite Dimensions
Diffusion Generative Models in Infinite Dimensions
Gavin Kerrigan
Justin Ley
Padhraic Smyth
DiffM
48
27
0
01 Dec 2022
Reinforced Genetic Algorithm for Structure-based Drug Design
Reinforced Genetic Algorithm for Structure-based Drug Design
Tianfan Fu
Wenhao Gao
Connor W. Coley
Jimeng Sun
33
51
0
28 Nov 2022
Latent Space Diffusion Models of Cryo-EM Structures
Latent Space Diffusion Models of Cryo-EM Structures
Karsten Kreis
Tim Dockhorn
Zihao Li
Ellen D. Zhong
DiffM
30
15
0
25 Nov 2022
Fast Sampling of Diffusion Models via Operator Learning
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng
Weili Nie
Arash Vahdat
Kamyar Azizzadenesheli
Anima Anandkumar
DiffM
65
131
0
24 Nov 2022
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with
  Discrete and Continuous Denoising
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
M. Shabani
Sepidehsadat Hosseini
Yasutaka Furukawa
DiffM
23
58
0
23 Nov 2022
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
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
26
60
0
21 Nov 2022
DiffusionDet: Diffusion Model for Object Detection
DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen
Pei Sun
Yibing Song
Ping Luo
63
443
0
17 Nov 2022
Few-shot Image Generation with Diffusion Models
Few-shot Image Generation with Diffusion Models
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
40
20
0
07 Nov 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert
  Denoisers
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Yogesh Balaji
Seungjun Nah
Xun Huang
Arash Vahdat
Jiaming Song
...
Timo Aila
S. Laine
Bryan Catanzaro
Tero Karras
Xuan Li
VLM
MoE
29
803
0
02 Nov 2022
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
56
555
0
02 Nov 2022
Diffusion models for missing value imputation in tabular data
Diffusion models for missing value imputation in tabular data
Shuhan Zheng
Nontawat Charoenphakdee
VLM
DiffM
32
67
0
31 Oct 2022
MagicMix: Semantic Mixing with Diffusion Models
MagicMix: Semantic Mixing with Diffusion Models
Jun Hao Liew
Hanshu Yan
Daquan Zhou
Jiashi Feng
DiffM
187
60
0
28 Oct 2022
Structure-based Drug Design with Equivariant Diffusion Models
Structure-based Drug Design with Equivariant Diffusion Models
Arne Schneuing
Yuanqi Du
Charles Harris
Arian R. Jamasb
Ilia Igashov
...
Pietro Lió
Carla P. Gomes
Max Welling
Michael M. Bronstein
B. Correia
DiffM
42
195
0
24 Oct 2022
Protein Sequence and Structure Co-Design with Equivariant Translation
Protein Sequence and Structure Co-Design with Equivariant Translation
Chence Shi
Chuanrui Wang
Jiarui Lu
Bozitao Zhong
Jian Tang
DiffM
30
47
0
17 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to
  CycleDiffusion and Guidance
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu
Fernando de la Torre
DiffM
28
66
0
11 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
49
104
0
11 Oct 2022
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
Ilia Igashov
Hannes Stärk
Clément Vignac
Victor Garcia Satorras
P. Frossard
Max Welling
Michael M. Bronstein
B. Correia
DiffM
41
84
0
11 Oct 2022
On Distillation of Guided Diffusion Models
On Distillation of Guided Diffusion Models
Chenlin Meng
Robin Rombach
Ruiqi Gao
Diederik P. Kingma
Stefano Ermon
Jonathan Ho
Tim Salimans
VLM
DiffM
33
491
0
06 Oct 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso
Hannes Stärk
Bowen Jing
Regina Barzilay
Tommi Jaakkola
DiffM
139
410
0
04 Oct 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design
Equivariant Energy-Guided SDE for Inverse Molecular Design
Fan Bao
Min Zhao
Zhongkai Hao
Pei‐Yun Li
Chongxuan Li
Jun Zhu
DiffM
190
64
0
30 Sep 2022
State-specific protein-ligand complex structure prediction with a
  multi-scale deep generative model
State-specific protein-ligand complex structure prediction with a multi-scale deep generative model
Zhuoran Qiao
Weili Nie
Arash Vahdat
Thomas F. Miller
Anima Anandkumar
DiffM
36
84
0
30 Sep 2022
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