Reflected Diffusion Models

10 April 2023

Papers citing "Reflected Diffusion Models"

45 / 45 papers shown

Title
Diffusion-based Planning with Learned Viability Filters Nicholas Ioannidis Daniele Reda S. Cohan M. van de Panne 69 0 0 26 Feb 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness Zekun Wang Mingyang Yi Shuchen Xue Z. Li Ming Liu Bing Qin Zhi-Ming Ma DiffM 37 0 0 24 Feb 2025
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories Jean-Baptiste Bouvier Kanghyun Ryu Kartik Nagpal Qiayuan Liao K. Sreenath Negar Mehr 88 2 0 20 Feb 2025
Generative modeling assisted simulation of measurement-altered quantum criticality Yuchen Zhu Molei Tao Yuebo Jin Xie Chen 61 1 0 02 Dec 2024
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning Risheek Garrepalli Shweta Mahajan Munawar Hayat Fatih Porikli DiffM 26 0 0 15 Oct 2024
Equality Constrained Diffusion for Direct Trajectory Optimization Vince Kurtz Joel W. Burdick 43 1 0 02 Oct 2024
Physics-aligned Schrödinger bridge Zeyu Li Hongkun Dou Shen Fang Wang Han Yue Deng Lijun Yang AI4CE DiffM 28 0 0 26 Sep 2024
Constrained Diffusion Models via Dual Training Shervin Khalafi Dongsheng Ding Alejandro Ribeiro 27 3 0 27 Aug 2024
Towards diffusion models for large-scale sea-ice modelling Tobias S. Finn Charlotte Durand A. Farchi Marc Bocquet J. Brajard 28 2 0 26 Jun 2024
Generative Modelling of Structurally Constrained Graphs Manuel Madeira Clément Vignac D. Thanou Pascal Frossard DiffM 46 0 0 25 Jun 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
Reflected Flow Matching Tianyu Xie Yu Zhu Longlin Yu Tong Yang Ziheng Cheng Shiyue Zhang Xiangyu Zhang Cheng Zhang 25 5 0 26 May 2024
Statistical algorithms for low-frequency diffusion data: A PDE approach Matteo Giordano Sven Wang 33 2 0 02 May 2024
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations Kaiwen Xue Yuhao Zhou Shen Nie Xu Min Xiaolu Zhang Jun Zhou Chongxuan Li DiffM 34 11 0 24 Apr 2024
Neural Shrödinger Bridge Matching for Pansharpening Zihan Cao Xiao Wu Liang-Jian Deng DiffM 53 2 0 17 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 32 48 0 11 Apr 2024
Quantum State Generation with Structure-Preserving Diffusion Model Yuchen Zhu Tianrong Chen Evangelos A. Theodorou Xie Chen Molei Tao DiffM 27 6 0 09 Apr 2024
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints Lingkai Kong Yuanqi Du Wenhao Mu Kirill Neklyudov Valentin De Bortol ... D. Wu Aaron Ferber Yi-An Ma Carla P. Gomes Chao Zhang 21 10 0 28 Feb 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial Wenpin Tang Hanyang Zhao DiffM 36 23 0 12 Feb 2024
Constrained Synthesis with Projected Diffusion Models Jacob K Christopher Stephen Baek Ferdinando Fioretto DiffM 41 10 0 05 Feb 2024
Contractive Diffusion Probabilistic Models Wenpin Tang Hanyang Zhao DiffM 32 12 0 23 Jan 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling Wei Deng Yu Chen Nicole Tianjiao Yang Hengrong Du Qi Feng Ricky T. Q. Chen 21 7 0 06 Jan 2024
Diffusion Models With Learned Adaptive Noise S. Sahoo Aaron Gokaslan Christopher De Sa Volodymyr Kuleshov DiffM 26 8 0 20 Dec 2023
The Missing U for Efficient Diffusion Models Sergio Calvo-Ordoñez Chun-Wun Cheng Jiahao Huang Lipei Zhang Guang Yang Carola-Bibiane Schonlieb Angelica I Aviles-Rivero DiffM 25 4 0 31 Oct 2023
Scaling Riemannian Diffusion Models Aaron Lou Minkai Xu Stefano Ermon 15 8 0 30 Oct 2023
DiffEnc: Variational Diffusion with a Learned Encoder Beatrix M. G. Nielsen Anders Christensen Andrea Dittadi Ole Winther DiffM 11 9 0 30 Oct 2023
Generative Fractional Diffusion Models Gabriel Nobis Maximilian Springenberg Marco Aversa Michael Detzel Rembert Daems ... Tolga Birdal Manfred Opper Christoph Knochenhauer Luis Oala Wojciech Samek DiffM 24 5 0 26 Oct 2023
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution Aaron Lou Chenlin Meng Stefano Ermon DiffM 22 63 0 25 Oct 2023
Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu T. Chen Evangelos A. Theodorou Molei Tao DiffM 11 21 0 02 Oct 2023
Beta Diffusion Mingyuan Zhou Tianqi Chen Zhendong Wang Huangjie Zheng DiffM 16 10 0 14 Sep 2023
Score-Based Generative Models for PET Image Reconstruction I. Singh Alexander Denker Riccardo Barbano vZeljko Kereta Bangti Jin K. Thielemans Peter Maass Simon Arridge DiffM MedIm 16 16 0 27 Aug 2023
Bayesian Flow Networks Alex Graves R. Srivastava Timothy James Atkinson Faustino J. Gomez BDL 33 41 0 14 Aug 2023
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance Saeid Naderiparizi Xiaoxuan Liang Berend Zwartsenberg Frank D. Wood DiffM 13 4 0 31 Jul 2023
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency Bowen Song Soo Min Kwon Zecheng Zhang Xinyu Hu Qing Qu Liyue Shen MedIm 25 98 0 16 Jul 2023
Metropolis Sampling for Constrained Diffusion Models N. Fishman Leo Klarner Emile Mathieu M. Hutchinson Valentin De Bortoli DiffM 24 13 0 11 Jul 2023
Geometric Neural Diffusion Processes Emile Mathieu Vincent Dutordoir M. Hutchinson Valentin De Bortoli Yee Whye Teh Richard E. Turner DiffM 32 8 0 11 Jul 2023
Unbalanced Diffusion Schrödinger Bridge Matteo Pariset Ya-Ping Hsieh Charlotte Bunne Andreas Krause Valentin De Bortoli DiffM OT 21 3 0 15 Jun 2023
Structured Voronoi Sampling Afra Amini Li Du Ryan Cotterell DiffM 16 1 0 05 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 21 53 0 03 Jun 2023
Diffusion Models for Constrained Domains N. Fishman Leo Klarner Valentin De Bortoli Emile Mathieu M. Hutchinson DiffM 14 35 0 11 Apr 2023
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 171 772 0 27 May 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 217 164 0 06 Feb 2022
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 172 719 0 02 Mar 2021
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014