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Diffusion-based Molecule Generation with Informative Prior Bridges

Diffusion-based Molecule Generation with Informative Prior Bridges

2 September 2022
Lemeng Wu
Chengyue Gong
Xingchao Liu
Mao Ye
Qiang Liu
    DiffM
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Papers citing "Diffusion-based Molecule Generation with Informative Prior Bridges"

19 / 19 papers shown
Title
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Michal Balcerak
Tamaz Amiranashvili
Suprosanna Shit
Antonio Terpin
Sebastian Kaltenbach
Petros Koumoutsakos
Bjoern H. Menze
DiffM
28
1
0
14 Apr 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
Yiming Huang
Tolga Birdal
DiffM
78
0
0
06 Feb 2025
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
Shikun Feng
Yuyan Ni
Yan Lu
Zhi-Ming Ma
Wei-Ying Ma
Yanyan Lan
38
5
0
14 Oct 2024
Geometric Representation Condition Improves Equivariant Molecule Generation
Geometric Representation Condition Improves Equivariant Molecule Generation
Zian Li
Cai Zhou
Xiyuan Wang
Xingang Peng
Muhan Zhang
45
1
0
04 Oct 2024
Fragment-Masked Diffusion for Molecular Optimization
Fragment-Masked Diffusion for Molecular Optimization
Kun Li
Xiantao Cai
Jia Wu
Shirui Pan
Huiting Xu
Bo Du
Wenbin Hu
38
0
0
17 Aug 2024
CLAMP: A Contrastive Language And Molecule Pre-training Network
CLAMP: A Contrastive Language And Molecule Pre-training Network
Neel Redkar
19
0
0
12 Nov 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion
  Processes
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
Jaehyeong Jo
Sung Ju Hwang
DiffM
37
9
0
11 Oct 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
29
16
0
21 May 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and
  Generative Modeling
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling
Stefano Peluchetti
OT
DiffM
16
48
0
03 Apr 2023
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
Sauradip Nag
Xiatian Zhu
Jiankang Deng
Yi-Zhe Song
Tao Xiang
DiffM
VGen
41
21
0
27 Mar 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
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion
  Probabilistic Models
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
Shengmeng Li
Luping Liu
Zenghao Chai
Runnan Li
Xuejiao Tan
DiffM
35
11
0
30 Jan 2023
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
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
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
43
845
0
07 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,304
0
02 Sep 2022
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs
  Theory
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
T. Chen
Guan-Horng Liu
Evangelos A. Theodorou
DiffM
OT
174
164
0
21 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
126
302
0
07 Oct 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
180
721
0
02 Mar 2021
1