Diffusion Generative Models in Infinite Dimensions

1 December 2022

Papers citing "Diffusion Generative Models in Infinite Dimensions"

30 / 30 papers shown

Title
Probability-Flow ODE in Infinite-Dimensional Function Spaces Kunwoo Na Junghyun Lee Se-Young Yun Sungbin Lim 52 0 0 13 Mar 2025
FuncGenFoil: Airfoil Generation and Editing Model in Function Space Jinouwen Zhang Junjie Ren A. Yang Yan Lu Lu Chen Hairun Xie Jing Wang Miao Zhang W. Ouyang Shixiang Tang 231 0 0 15 Feb 2025
Stochastic Process Learning via Operator Flow Matching Yaozhong Shi Zachary E. Ross D. Asimaki Kamyar Azizzadenesheli 52 1 0 10 Jan 2025
Can neural operators always be continuously discretized? Takashi Furuya Michael Puthawala Maarten V. de Hoop Matti Lassas 66 0 0 04 Dec 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models Giannis Daras Weili Nie Karsten Kreis A. Dimakis Morteza Mardani Nikola B. Kovachki Arash Vahdat DiffM 35 6 0 21 Oct 2024
Deep Optimal Sensor Placement for Black Box Stochastic Simulations Paula Cordero-Encinar Tobias Schröder P. Yatsyshin Andrew Duncan 50 0 0 15 Oct 2024
$$\infty$-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions$ $\infty$ -Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions Minh-Quan Le Alexandros Graikos Srikar Yellapragada Rajarsi R. Gupta Joel H. Saltz Dimitris Samaras 39 9 0 20 Jul 2024
Mean-field Chaos Diffusion Models S. Park Dongjun Kim Ahmed Alaa DiffM 29 0 0 08 Jun 2024
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks Tristan Cinquin Robert Bamler UQCV BDL 58 2 0 06 Jun 2024
Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems Lorenzo Baldassari Ali Siahkoohi Josselin Garnier K. Sølna Maarten V. de Hoop DiffM 39 1 0 24 May 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows Gavin Kerrigan Giosue Migliorini Padhraic Smyth OT 38 10 0 05 Apr 2024
Universal Functional Regression with Neural Operator Flows Yaozhong Shi Angela F. Gao Zachary E. Ross Kamyar Azizzadenesheli 37 3 0 03 Apr 2024
BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis Xiaomin Li Mykhailo Sakevych G. Atkinson V. Metsis MedIm 24 9 0 12 Jan 2024
DFU: scale-robust diffusion model for zero-shot super-resolution image generation Alex Havrilla Kevin Rojas Wenjing Liao Molei Tao 42 1 0 30 Nov 2023
Conditional Optimal Transport on Function Spaces Bamdad Hosseini Alexander W. Hsu Amirhossein Taghvaei OT 45 14 0 09 Nov 2023
Geometric Neural Diffusion Processes Emile Mathieu Vincent Dutordoir M. Hutchinson Valentin De Bortoli Yee Whye Teh Richard Turner DiffM 44 8 0 11 Jul 2023
Conditional score-based diffusion models for Bayesian inference in infinite dimensions Lorenzo Baldassari Ali Siahkoohi Josselin Garnier K. Sølna Maarten V. de Hoop DiffM 30 17 0 28 May 2023
Functional Flow Matching Gavin Kerrigan Giosue Migliorini Padhraic Smyth 39 13 0 26 May 2023
PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling Elizaveta Semenova Prakhar Verma Max Cairney-Leeming Arno Solin Samir Bhatt Seth Flaxman BDL 30 3 0 09 Apr 2023
$$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States$ $\infty$ -Diff: Infinite Resolution Diffusion with Subsampled Mollified States Sam Bond-Taylor Chris G. Willcocks 34 15 0 31 Mar 2023
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation Paul Hagemann Sophie Mildenberger Lars Ruthotto Gabriele Steidl Ni Yang DiffM 55 23 0 08 Mar 2023
Continuous-Time Functional Diffusion Processes Giulio Franzese Dario Rossi Simone Rossi Markus Heinonen Maurizio Filippone Pietro Michiardi 39 24 0 01 Mar 2023
Score-based Diffusion Models in Function Space Jae Hyun Lim Nikola B. Kovachki Ricardo Baptista Christopher Beckham Kamyar Azizzadenesheli ... Karsten Kreis Jan Kautz Christopher Pal Arash Vahdat Anima Anandkumar DiffM 77 38 0 14 Feb 2023
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion Marin Bilos Kashif Rasul Anderson Schneider Yuriy Nevmyvaka Stephan Günnemann DiffM 27 32 0 04 Nov 2022
Neural Diffusion Processes Vincent Dutordoir Alan D. Saul Zoubin Ghahramani F. Simpson DiffM 40 37 0 08 Jun 2022
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning Veit Wild Robert Hu Dino Sejdinovic BDL 51 11 0 12 May 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 225 165 0 06 Feb 2022
From data to functa: Your data point is a function and you can treat it like one Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 181 140 0 28 Jan 2022
Variational Gaussian Processes: A Functional Analysis View Veit Wild George Wynne GP 46 5 0 25 Oct 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 265 2,309 0 18 Oct 2020