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Path Integral Sampler: a stochastic control approach for sampling

30 November 2021

Qinsheng Zhang

Yongxin Chen

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Papers citing "Path Integral Sampler: a stochastic control approach for sampling"

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Title
Soft-constrained Schrodinger Bridge: a Stochastic Control Approach Jhanvi Garg Xianyang Zhang Quan Zhou DiffM OT 67 2 0 04 Mar 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion Ye He Kevin Rojas Molei Tao DiffM 116 11 0 27 Feb 2024
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control Masatoshi Uehara Yulai Zhao Kevin Black Ehsan Hajiramezanali Gabriele Scalia N. Diamant Alex Tseng Tommaso Biancalani Sergey Levine 94 52 0 23 Feb 2024
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion Yujia Huang Adishree S. Ghatare Yuanzhe Liu Ziniu Hu Qinsheng Zhang Chandramouli Shama Sastry Francesco Ferroni Sageev Oore Yisong Yue DiffM 113 25 0 22 Feb 2024
Stochastic Localization via Iterative Posterior Sampling Louis Grenioux Maxence Noble Marylou Gabrié Alain Durmus DiffM 90 16 0 16 Feb 2024
Target Score Matching Valentin De Bortoli M. Hutchinson Peter Wirnsberger Arnaud Doucet DiffM 92 21 0 13 Feb 2024
Particle Denoising Diffusion Sampler Angus Phillips Hai-Dang Dau M. Hutchinson Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 135 30 0 09 Feb 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 107 58 0 09 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 237 28 0 07 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 84 3 0 06 Feb 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 145 1 0 05 Jan 2024
Energy based diffusion generator for efficient sampling of Boltzmann distributions Yan Wang Ling Guo Hao Wu Tao Zhou DiffM 97 4 0 04 Jan 2024
Improving Gradient-guided Nested Sampling for Posterior Inference Pablo Lemos Nikolay Malkin Will Handley Yoshua Bengio Y. Hezaveh Laurence Perreault Levasseur BDL 105 11 0 06 Dec 2023
Stochastic Optimal Control Matching Carles Domingo-Enrich Jiequn Han Brandon Amos Joan Bruna Ricky T. Q. Chen DiffM 116 10 0 04 Dec 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 125 49 0 04 Oct 2023
Discrete, compositional, and symbolic representations through attractor dynamics Andrew Nam Eric Elmoznino Nikolay Malkin Chen Sun Yoshua Bengio Guillaume Lajoie 90 1 0 03 Oct 2023
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives Muhammad Kazim JunGee Hong Min-Gyeom Kim Kwang-Ki K. Kim 78 20 0 22 Sep 2023
Diffusion Schrödinger Bridges for Bayesian Computation J. Heng Valentin De Bortoli Arnaud Doucet DiffM 58 3 0 27 Aug 2023
SE(3) Equivariant Augmented Coupling Flows Laurence I. Midgley Vincent Stimper Javier Antorán Emile Mathieu Bernhard Schölkopf José Miguel Hernández-Lobato 185 27 0 20 Aug 2023
Improved sampling via learned diffusions Lorenz Richter Julius Berner DiffM 121 65 0 03 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 135 8 0 03 Jul 2023
On a Class of Gibbs Sampling over Networks Bo Yuan JiaoJiao Fan Jiaming Liang Andre Wibisono Yongxin Chen 96 6 0 23 Jun 2023
Entropy-based Training Methods for Scalable Neural Implicit Sampler Weijian Luo Boya Zhang Zhihua Zhang 91 12 0 08 Jun 2023
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge Beomsu Kim Gihyun Kwon Kwanyoung Kim Jong Chul Ye DiffM OT 87 66 0 24 May 2023
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces Javier E. Santos Z. Fox Nicholas Lubbers Yen Ting Lin DiffM 88 20 0 18 May 2023
Denoising Diffusion Samplers Francisco Vargas Will Grathwohl Arnaud Doucet DiffM 84 91 0 27 Feb 2023
Aligned Diffusion Schrödinger Bridges Vignesh Ram Somnath Matteo Pariset Ya-Ping Hsieh María Rodríguez Martínez Andreas Krause Charlotte Bunne DiffM 230 39 0 22 Feb 2023
I $^2$ SB: Image-to-Image Schrödinger Bridge Guan-Horng Liu Arash Vahdat De-An Huang Evangelos A. Theodorou Weili Nie Anima Anandkumar DiffM 116 154 0 12 Feb 2023
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 123 308 0 01 Feb 2023
A theory of continuous generative flow networks Salem Lahlou T. Deleu Pablo Lemos Dinghuai Zhang Alexandra Volokhova Alex Hernández-García Léna Néhale Ezzine Yoshua Bengio Nikolay Malkin AI4CE 133 93 0 30 Jan 2023
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 154 97 0 02 Nov 2022
Deep Generalized Schrödinger Bridge Guan-Horng Liu T. Chen Oswin So Evangelos A. Theodorou OT AI4CE 93 37 0 20 Sep 2022
Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics Takeshi Koshizuka Issei Sato 94 6 0 11 Apr 2022
Bayesian Learning via Neural Schrödinger-Föllmer Flows Francisco Vargas Andrius Ovsianas David Fernandes Mark Girolami Neil D. Lawrence Nikolas Nusken BDL 150 49 0 20 Nov 2021