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Riemannian Score-Based Generative Modelling
6 February 2022
Valentin De Bortoli
Emile Mathieu
M. Hutchinson
James Thornton
Yee Whye Teh
Arnaud Doucet
DiffM
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Papers citing
"Riemannian Score-Based Generative Modelling"
47 / 47 papers shown
Title
Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
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Felix X.-F. Ye
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21
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0
09 Jun 2025
Efficient Diffusion Models for Symmetric Manifolds
Oren Mangoubi
Neil He
Nisheeth K. Vishnoi
MedIm
97
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0
27 May 2025
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
Louis Bethune
David Vigouroux
Yilun Du
Rufin VanRullen
Thomas Serre
Victor Boutin
DiffM
77
0
0
23 May 2025
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry
Antoine Collas
Ce Ju
Nicolas Salvy
Bertrand Thirion
61
0
0
20 May 2025
Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity
Ziqiang Liu
Wei Zhang
Tiejun Li
DiffM
73
0
0
15 May 2025
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
186
3
0
16 Apr 2025
SpectR: Dynamically Composing LM Experts with Spectral Routing
William Fleshman
Benjamin Van Durme
MoMe
MoE
118
2
0
04 Apr 2025
Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance
Liya Guo
Zun Wang
Chang-Shu Liu
Junlong Li
Pipi Hu
Yi Zhu
DiffM
75
0
0
18 Mar 2025
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu
Arto Klami
Aapo Hyvarinen
Anna Korba
Omar Chehab
145
0
0
04 Feb 2025
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching
Marco Bertolini
Tuan Le
Djork-Arné Clevert
DiffM
186
0
0
04 Feb 2025
Group Ligands Docking to Protein Pockets
Jiaqi Guan
Jiahan Li
Xiangxin Zhou
Xingang Peng
Sheng Wang
Yunan Luo
Jian-wei Peng
Jianzhu Ma
104
1
0
28 Jan 2025
Solvation Free Energies from Neural Thermodynamic Integration
Bálint Máté
François Fleuret
Tristan Bereau
74
2
0
21 Oct 2024
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
Wuchao Li
Rui Huang
Haijun Zhao
Chi Liu
Kai Zheng
...
Defu Lian
Yang Song
Wentian Bao
Enyun Yu
Wenwu Ou
DiffM
85
11
0
22 Aug 2024
Semantic-guided Adversarial Diffusion Model for Self-supervised Shadow Removal
Ziqi Zeng
Chen Zhao
Weiling Cai
Chenyu Dong
DiffM
93
4
0
01 Jul 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models
Berthy Feng
Ricardo Baptista
Katherine Bouman
MedIm
DiffM
134
4
0
18 Jun 2024
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors
Axel Levy
E. R. Chan
Sara Fridovich-Keil
Frédéric Poitevin
Ellen D. Zhong
Gordon Wetzstein
DiffM
168
8
0
06 Jun 2024
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
Yuchen Zhu
Tianrong Chen
Lingkai Kong
Evangelos A. Theodorou
Molei Tao
DiffM
112
6
0
25 May 2024
Score matching for sub-Riemannian bridge sampling
E. Grong
Karen Habermann
Stefan Sommer
81
2
0
23 Apr 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs
M. Hanik
Gabriele Steidl
C. V. Tycowicz
GNN
MedIm
135
3
0
25 Jan 2024
End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction
Qingsi Lai
Lin Yao
Zhifeng Gao
Siyuan Liu
Hongshuai Wang
...
Di He
Liwei Wang
Cheng Wang
Guolin Ke
Guolin Ke
89
8
0
08 Jan 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling
Wei Deng
Yu Chen
Nicole Tianjiao Yang
Hengrong Du
Qi Feng
Ricky T. Q. Chen
62
8
0
06 Jan 2024
Sampling and estimation on manifolds using the Langevin diffusion
Karthik Bharath
Alexander Lewis
Akash Sharma
M. Tretyakov
DiffM
156
5
0
22 Dec 2023
Generative Diffusion From An Action Principle
Akhil Premkumar
DiffM
74
4
0
06 Oct 2023
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
Tianhao Wu
Mingdong Wu
Jiyao Zhang
Yunchong Gan
Hao Dong
148
25
0
12 Sep 2023
Diffusion Generative Inverse Design
Marin Vlastelica
Tatiana López-Guevara
Kelsey R. Allen
Peter Battaglia
Arnaud Doucet
Kimberley L. Stachenfeld
DiffM
57
1
0
05 Sep 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
121
2
0
31 Jul 2023
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
Luhuan Wu
Brian L. Trippe
C. A. Naesseth
David M. Blei
John P. Cunningham
DiffM
121
102
0
30 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
183
56
0
07 Jun 2023
Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation
Zihao Wang
DiffM
74
4
0
26 Apr 2023
Conformal Generative Modeling on Triangulated Surfaces
Victor D. Dorobantu
Charlotte Borcherds
Yisong Yue
66
1
0
17 Mar 2023
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
150
23
0
13 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models
Andrey Okhotin
Dmitry Molchanov
V. Arkhipkin
Grigory Bartosh
Viktor Ohanesian
Aibek Alanov
Dmitry Vetrov
DiffM
109
14
0
10 Feb 2023
Flow Matching on General Geometries
Ricky T. Q. Chen
Y. Lipman
AI4CE
156
85
0
07 Feb 2023
Diffusion Generative Models in Infinite Dimensions
Gavin Kerrigan
Justin Ley
Padhraic Smyth
DiffM
116
35
0
01 Dec 2022
Denoising Deep Generative Models
Gabriel Loaiza-Ganem
Brendan Leigh Ross
Luhuan Wu
John P. Cunningham
Jesse C. Cresswell
Anthony L. Caterini
DiffM
104
5
0
30 Nov 2022
From Denoising Diffusions to Denoising Markov Models
Joe Benton
Yuyang Shi
Valentin De Bortoli
George Deligiannidis
Arnaud Doucet
DiffM
119
35
0
07 Nov 2022
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
117
114
0
11 Oct 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso
Hannes Stärk
Bowen Jing
Regina Barzilay
Tommi Jaakkola
DiffM
268
450
0
04 Oct 2022
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion
Julen Urain
Niklas Funk
Jan Peters
Georgia Chalvatzaki
DiffM
168
127
0
08 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Tengjiao Wang
Ming-Hsuan Yang
DiffM
MedIm
488
1,425
0
02 Sep 2022
Convergence of denoising diffusion models under the manifold hypothesis
Valentin De Bortoli
DiffM
100
171
0
10 Aug 2022
Riemannian Diffusion Schrödinger Bridge
James Thornton
M. Hutchinson
Emile Mathieu
Valentin De Bortoli
Yee Whye Teh
Arnaud Doucet
DiffM
94
9
0
07 Jul 2022
Verifying the Union of Manifolds Hypothesis for Image Data
Bradley Brown
Anthony L. Caterini
Brendan Leigh Ross
Jesse C. Cresswell
Gabriel Loaiza-Ganem
137
43
0
06 Jul 2022
Generative Modelling With Inverse Heat Dissipation
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
145
120
0
21 Jun 2022
Score-Based Generative Models Detect Manifolds
Jakiw Pidstrigach
DiffM
107
79
0
02 Jun 2022
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing
Gabriele Corso
Jeffrey Chang
Regina Barzilay
Tommi Jaakkola
DiffM
BDL
117
277
0
01 Jun 2022
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
N. Anand
Tudor Achim
DiffM
255
175
0
26 May 2022
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