Riemannian Score-Based Generative Modelling

6 February 2022

Papers citing "Riemannian Score-Based Generative Modelling"

30 / 30 papers shown

Title
Riemannian Denoising Diffusion Probabilistic Models Z. Liu Wei Zhang Christof Schütte Tiejun Li DiffM 68 0 0 07 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 48 0 0 16 Apr 2025
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 67 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 33 0 0 28 Jan 2025
Solvation Free Energies from Neural Thermodynamic Integration Bálint Máté François Fleuret Tristan Bereau 31 1 0 21 Oct 2024
Joint Localization and Planning using Diffusion Lukas Lao Beyer S. Karaman 33 0 0 26 Sep 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy T. Feng Ricardo Baptista Katherine L. Bouman MedIm DiffM 40 3 0 18 Jun 2024
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors A. Levy E. R. Chan Sara Fridovich-Keil Frédéric Poitevin Ellen D. Zhong Gordon Wetzstein DiffM 75 3 0 06 Jun 2024
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models Bálint Máté François Fleuret Tristan Bereau DiffM 38 2 0 04 Jun 2024
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu Tianrong Chen Lingkai Kong Evangelos A. Theodorou Molei Tao DiffM 35 4 0 25 May 2024
Deep Confident Steps to New Pockets: Strategies for Docking Generalization Gabriele Corso Arthur Deng Benjamin Fry Nicholas Polizzi Regina Barzilay Tommi Jaakkola OOD 35 27 0 28 Feb 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 28 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 33 7 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 29 7 0 06 Jan 2024
Sampling and estimation on manifolds using the Langevin diffusion Karthik Bharath Alexander Lewis Akash Sharma M. Tretyakov DiffM 71 5 0 22 Dec 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 29 9 0 11 Oct 2023
DockGame: Cooperative Games for Multimeric Rigid Protein Docking Vignesh Ram Somnath Pier Giuseppe Sessa María Rodríguez Martínez Andreas Krause 31 2 0 09 Oct 2023
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping Tianhao Wu Mingdong Wu Jiyao Zhang Yunchong Gan Hao Dong 36 20 0 12 Sep 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 26 2 0 31 Jul 2023
Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation Zihao W. Wang DiffM 33 4 0 26 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 24 49 0 10 Apr 2023
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 16 66 0 07 Feb 2023
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 26 0 0 30 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 49 104 0 11 Oct 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 136 409 0 04 Oct 2022
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 1,300 0 02 Sep 2022
Riemannian Diffusion Schrödinger Bridge James Thornton M. Hutchinson Emile Mathieu Valentin De Bortoli Yee Whye Teh Arnaud Doucet DiffM 30 7 0 07 Jul 2022
Score-Based Generative Models Detect Manifolds Jakiw Pidstrigach DiffM 24 70 0 02 Jun 2022
Torsional Diffusion for Molecular Conformer Generation Bowen Jing Gabriele Corso Jeffrey Chang Regina Barzilay Tommi Jaakkola DiffM BDL 25 259 0 01 Jun 2022
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 174 162 0 21 Oct 2021