v1v2v3 (latest)

Riemannian Score-Based Generative Modelling

6 February 2022

Papers citing "Riemannian Score-Based Generative Modelling"

47 / 47 papers shown

Title
Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces Kevin Rojas Yuchen Zhu Sichen Zhu Felix X.-F. Ye Molei Tao DiffM 21 0 0 09 Jun 2025
Efficient Diffusion Models for Symmetric Manifolds Oren Mangoubi Neil He Nisheeth K. Vishnoi MedIm 97 0 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 95 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
$End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction$ 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