Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion
Processes

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Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes

International Conference on Machine Learning (ICML), 2023

11 October 2023

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Papers citing "Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes"

13 / 13 papers shown

Title
Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning Ryan A. Robinett Sophia A. Madejski Kyle Ruark Samantha J. Riesenfeld Lorenzo Orecchia 64 0 0 20 Oct 2025
Riemannian Consistency Model Chaoran Cheng Yusong Wang Yuxin Chen Xiangxin Zhou Nanning Zheng Ge Liu 180 0 0 01 Oct 2025
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling Huangjie Zheng Shansan Gong Ruixiang Zhang Tianrong Chen Jiatao Gu Mingyuan Zhou Navdeep Jaitly Y. Zhang DiffM 251 4 0 01 Oct 2025
Efficient Diffusion Models for Symmetric Manifolds Oren Mangoubi Neil He Nisheeth K. Vishnoi MedIm 193 1 0 27 May 2025
Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity Ziqiang Liu Wei Zhang Tiejun Li DiffM 257 0 0 15 May 2025
Riemannian Denoising Diffusion Probabilistic Models Ziqiang Liu Wei Zhang Christof Schütte Tiejun Li DiffM 260 1 0 07 May 2025
Riemannian Neural Geodesic Interpolant Jiawen Wu Bingguang Chen Yuyi Zhou Qi Meng Rongchan Zhu Zhi-Ming Ma 137 0 0 22 Apr 2025
Continuous Diffusion Model for Language Modeling Jaehyeong Jo Sung Ju Hwang 142 3 0 17 Feb 2025
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices Thibault de Surrel Fabien Lotte Sylvain Chevallier Florian Yger 375 3 0 03 Feb 2025
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu Tianrong Chen Lingkai Kong Evangelos A. Theodorou Molei Tao DiffM 237 12 0 25 May 2024
Metric Flow Matching for Smooth Interpolations on the Data ManifoldNeural Information Processing Systems (NeurIPS), 2024 Kacper Kapusniak Peter Potaptchik Teodora Reu Leo Zhang Alexander Tong Michael M. Bronstein A. Bose Francesco Di Giovanni 225 40 0 23 May 2024
Graph Generation with Diffusion MixtureInternational Conference on Machine Learning (ICML), 2023 Jaehyeong Jo Dongki Kim Sung Ju Hwang DiffM 323 35 0 07 Feb 2023
Sampling using $SU(N)$ gauge equivariant flows D. Boyda G. Kanwar S. Racanière Danilo Jimenez Rezende M. S. Albergo Kyle Cranmer D. Hackett P. Shanahan 301 137 0 12 Aug 2020