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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
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
Hongkun Dou
Zeyu Li
Xingyu Jiang
Yiming Li
Lijun Yang
Wen Yao
Yue Deng
DiffM
38
0
0
12 May 2025
Riemannian Denoising Diffusion Probabilistic Models
Riemannian Denoising Diffusion Probabilistic Models
Ziqiang Liu
Wei Zhang
Christof Schütte
Tiejun Li
DiffM
76
0
0
07 May 2025
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions
Yiding Chen
Yiyi Zhang
Owen Oertell
Wen Sun
DiffM
52
0
0
06 May 2025
Incorporating Inductive Biases to Energy-based Generative Models
Incorporating Inductive Biases to Energy-based Generative Models
Yukun Li
Li-Ping Liu
55
0
0
02 May 2025
GEOM-Drugs Revisited: Toward More Chemically Accurate Benchmarks for 3D Molecule Generation
GEOM-Drugs Revisited: Toward More Chemically Accurate Benchmarks for 3D Molecule Generation
Filipp Nikitin
Ian Dunn
D. Koes
Olexandr Isayev
130
0
0
30 Apr 2025
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs
Hao Luan
See-Kiong Ng
Chun Kai Ling
52
0
0
29 Apr 2025
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
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron J. Havens
Benjamin Kurt Miller
Bing Yan
Carles Domingo-Enrich
Anuroop Sriram
...
Brandon Amos
Brian Karrer
Xiang Fu
Guan-Horng Liu
Ricky T. Q. Chen
DiffM
50
0
0
16 Apr 2025
D$^2$iT: Dynamic Diffusion Transformer for Accurate Image Generation
D2^22iT: Dynamic Diffusion Transformer for Accurate Image Generation
Weinan Jia
Mengqi Huang
Nan Chen
Lei Zhang
Zhendong Mao
29
0
0
13 Apr 2025
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models
Fanmeng Wang
Wentao Guo
Qi Ou
Hongshuai Wang
Haitao Lin
Hongteng Xu
Zhifeng Gao
AI4CE
30
1
0
11 Apr 2025
CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model
CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model
Jinming Lu
Minghao She
Wendong Mao
Zhongfeng Wang
MQ
38
0
0
08 Apr 2025
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation
Peizhi Niu
Yu-Hsiang Wang
Vishal Rana
Chetan Rupakheti
Abhishek Pandey
O. Milenkovic
35
0
0
08 Apr 2025
Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents
Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents
Jaymari Chua
Chen Wang
Lina Yao
ALM
47
0
0
04 Apr 2025
Bezier Distillation
Bezier Distillation
Ling Feng
SK Yang
44
0
0
20 Mar 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Mario Lino
Tobias Pfaff
Nils Thuerey
DiffM
AI4CE
47
3
0
19 Mar 2025
Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance
Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance
Liya Guo
Zun Wang
Chang-Shu Liu
Jiashi Li
Pipi Hu
Yi Zhu
DiffM
48
0
0
18 Mar 2025
On the Generalization Properties of Diffusion Models
On the Generalization Properties of Diffusion Models
Puheng Li
Zhong Li
Huishuai Zhang
Jiang Bian
74
29
0
13 Mar 2025
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
Shuqi Lu
Xiaohong Ji
Bohang Zhang
Lin Yao
Siyuan Liu
Zhifeng Gao
Linfeng Zhang
Guolin Ke
AI4CE
46
1
0
13 Mar 2025
DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness
DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness
Yiming Zhong
Qi Jiang
Jingyi Yu
Yuexin Ma
58
2
0
11 Mar 2025
Backdoor Attacks on Discrete Graph Diffusion Models
Jiawen Wang
Samin Karim
Yuan Hong
Binghui Wang
DiffM
68
0
0
08 Mar 2025
Straight-Line Diffusion Model for Efficient 3D Molecular Generation
Yuyan Ni
Shikun Feng
Haohan Chi
Bowen Zheng
Huan-ang Gao
Wei-Ying Ma
Zhi-Ming Ma
Yanyan Lan
DiffM
71
2
0
04 Mar 2025
Periodic Materials Generation using Text-Guided Joint Diffusion Model
Kishalay Das
Subhojyoti Khastagir
Pawan Goyal
Seung-Cheol Lee
S. Bhattacharjee
Niloy Ganguly
DiffM
34
0
0
01 Mar 2025
Bayesian Computation in Deep Learning
Bayesian Computation in Deep Learning
Wenlong Chen
Bolian Li
Ruqi Zhang
Yingzhen Li
BDL
75
0
0
25 Feb 2025
On Memorization in Diffusion Models
On Memorization in Diffusion Models
Xiangming Gu
Chao Du
Tianyu Pang
Chongxuan Li
Min-Bin Lin
Ye Wang
DiffM
TDI
166
43
0
21 Feb 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
Zhiyuan Liu
Yanchen Luo
Han Huang
Enzhi Zhang
Sihang Li
Junfeng Fang
Yaorui Shi
Xuben Wang
Kenji Kawaguchi
Tat-Seng Chua
102
3
0
18 Feb 2025
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
Vinh Tong
Trung-Dung Hoang
Anji Liu
Guy Van den Broeck
Mathias Niepert
DiffM
82
0
0
14 Feb 2025
Regularization can make diffusion models more efficient
Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
98
0
0
13 Feb 2025
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
Filip Ekstrom Kelvinius
Zheng Zhao
Fredrik Lindsten
DiffM
52
0
0
10 Feb 2025
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
Daniel Levy
Siba Smarak Panigrahi
Sékou-Oumar Kaba
Qiang Zhu
Kin Long Kelvin Lee
Mikhail Galkin
Santiago Miret
Siamak Ravanbakhsh
216
12
0
05 Feb 2025
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching
Marco Bertolini
Tuan Le
Djork-Arné Clevert
DiffM
86
0
0
04 Feb 2025
A Periodic Bayesian Flow for Material Generation
A Periodic Bayesian Flow for Material Generation
Hanlin Wu
Yuxuan Song
Jingjing Gong
Ziyao Cao
Y. Ouyang
Jianbing Zhang
Hao Zhou
Wei-Ying Ma
Jingjing Liu
DiffM
69
2
0
04 Feb 2025
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
Hanyang Zhao
Haoxian Chen
Ji Zhang
D. Yao
Wenpin Tang
60
0
0
03 Feb 2025
Score-based 3D molecule generation with neural fields
Score-based 3D molecule generation with neural fields
Matthieu Kirchmeyer
Pedro H. O. Pinheiro
Saeed Saremi
DiffM
48
0
0
15 Jan 2025
PQD: Post-training Quantization for Efficient Diffusion Models
Jiaojiao Ye
Zhen Wang
Linnan Jiang
MQ
28
0
0
03 Jan 2025
MADiff: Offline Multi-agent Learning with Diffusion Models
MADiff: Offline Multi-agent Learning with Diffusion Models
Zhengbang Zhu
Minghuan Liu
Liyuan Mao
Bingyi Kang
Minkai Xu
Yong Yu
Stefano Ermon
Weinan Zhang
DiffM
OffRL
88
34
0
03 Jan 2025
EquiFlow: Equivariant Conditional Flow Matching with Optimal Transport
  for 3D Molecular Conformation Prediction
EquiFlow: Equivariant Conditional Flow Matching with Optimal Transport for 3D Molecular Conformation Prediction
Qingwen Tian
Yuxin Xu
Yixuan Yang
Zhen Wang
Ziqi Liu
Pengju Yan
Xiaolin Li
77
0
0
15 Dec 2024
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Zhen Liu
Tim Z. Xiao
Weiyang Liu
Yoshua Bengio
Dinghuai Zhang
123
2
0
10 Dec 2024
LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation
LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation
Xiang Chen
DiffM
76
0
0
05 Dec 2024
RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image
  Generation
RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation
Christoph Reinders
Radu Berdan
Beril Besbinar
Junji Otsuka
Daisuke Iso
81
2
0
20 Nov 2024
GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules
Teng Xiao
Chao Cui
Huaisheng Zhu
V. Honavar
AI4CE
CLIP
30
0
0
16 Nov 2024
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
H. Haresamudram
Chi Ian Tang
Sungho Suh
P. Lukowicz
Thomas Ploetz
76
2
0
11 Nov 2024
ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy
ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy
Chenrui Tie
Yue Chen
Ruihai Wu
Boxuan Dong
Z. Li
Chongkai Gao
Hao Dong
51
3
0
06 Nov 2024
Pathway-Guided Optimization of Deep Generative Molecular Design Models
  for Cancer Therapy
Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy
Alif Bin Abdul Qayyum
S. Mertins
Amanda K. Paulson
Nathan M. Urban
Byung-Jun Yoon
35
0
0
05 Nov 2024
Conditional Synthesis of 3D Molecules with Time Correction Sampler
Conditional Synthesis of 3D Molecules with Time Correction Sampler
Hojung Jung
Youngrok Park
Laura Schmid
Jaehyeong Jo
Dongkyu Lee
Bongsang Kim
Se-Young Yun
Jinwoo Shin
DiffM
39
4
0
01 Nov 2024
Bridging Geometric States via Geometric Diffusion Bridge
Bridging Geometric States via Geometric Diffusion Bridge
Shengjie Luo
Yixian Xu
Di He
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
39
0
0
31 Oct 2024
Diffusion Twigs with Loop Guidance for Conditional Graph Generation
Diffusion Twigs with Loop Guidance for Conditional Graph Generation
Giangiacomo Mercatali
Yogesh Verma
André Freitas
Vikas K. Garg
31
3
0
31 Oct 2024
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
Majdi Hassan
Nikhil Shenoy
Jungyoon Lee
Hannes Stärk
Stephan Thaler
Dominique Beaini
29
6
0
29 Oct 2024
Capacity Control is an Effective Memorization Mitigation Mechanism in
  Text-Conditional Diffusion Models
Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models
Raman Dutt
Pedro Sanchez
Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
34
1
0
29 Oct 2024
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
Kiwoong Yoo
Owen Oertell
Junhyun Lee
Sanghoon Lee
Jaewoo Kang
36
0
0
28 Oct 2024
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer
  Generation
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation
Jiwoong Park
Yang Shen
DiffM
37
0
0
26 Oct 2024
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