Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

15 March 2023

Papers citing "Stochastic Interpolants: A Unifying Framework for Flows and Diffusions"

27 / 27 papers shown

Title
Flow-GRPO: Training Flow Matching Models via Online RL Jie Liu Gongye Liu Jiajun Liang Y. Li Jiaheng Liu X. Wang Pengfei Wan Di Zhang Wanli Ouyang AI4CE 52 0 0 08 May 2025
Flow Along the K-Amplitude for Generative Modeling Weitao Du Shuning Chang Jiasheng Tang Yu Rong F. Wang Shengchao Liu 44 0 0 27 Apr 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 33 0 0 16 Apr 2025
Improving the evaluation of samplers on multi-modal targets Louis Grenioux Maxence Noble Marylou Gabrié 26 0 0 11 Apr 2025
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows Mashrur M. Morshed Vishnu Boddeti 28 0 0 10 Apr 2025
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data Siddharth Rout Eldad Haber Stéphane Gaudreault AI4TS AI4CE 46 0 0 15 Mar 2025
RiboGen: RNA Sequence and Structure Co-Generation with Equivariant MultiFlow Dana Rubin Allan dos Santos Costa Manvitha Ponnapati J. Jacobson 24 0 0 03 Mar 2025
Text-to-Image Rectified Flow as Plug-and-Play Priors Xiaofeng Yang Cheng Chen Xulei Yang Fayao Liu Guosheng Lin DiffM 57 7 0 21 Feb 2025
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 35 0 0 03 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 34 0 0 03 Jan 2025
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer H. Chen Z. Wang X. Li X. Sun Fangyi Chen Jiang Liu J. Wang Bhiksha Raj Zicheng Liu Emad Barsoum VLM 92 6 0 14 Dec 2024
ReMatching Dynamic Reconstruction Flow Sara Oblak Despoina Paschalidou Sanja Fidler Matan Atzmon 25 0 0 01 Nov 2024
Solvation Free Energies from Neural Thermodynamic Integration Bálint Máté François Fleuret Tristan Bereau 19 1 0 21 Oct 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 13 2 0 13 Oct 2024
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation Jiatao Gu Yuyang Wang Yizhe Zhang Qihang Zhang Dinghuai Zhang Navdeep Jaitly Josh Susskind Shuangfei Zhai DiffM 23 12 0 10 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 60 59 0 09 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting S. H. Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 31 1 0 04 Oct 2024
NETS: A Non-Equilibrium Transport Sampler M. S. Albergo Eric Vanden-Eijnden DiffM 35 7 0 03 Oct 2024
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport Zhenyi Zhang Tiejun Li Peijie Zhou OT 122 5 0 01 Oct 2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection Haoyang He Yuhu Bai Jiangning Zhang Qingdong He Hongxu Chen Zhenye Gan Chengjie Wang Xiangtai Li Guanzhong Tian Lei Xie Mamba 34 32 0 09 Apr 2024
Aligned Diffusion Schrödinger Bridges Vignesh Ram Somnath Matteo Pariset Ya-Ping Hsieh María Rodríguez Martínez Andreas Krause Charlotte Bunne DiffM 83 17 0 22 Feb 2023
Rectified Flow: A Marginal Preserving Approach to Optimal Transport Qiang Liu OT 109 42 0 29 Sep 2022
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 174 128 0 26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 123 245 0 22 Sep 2022
Matching Normalizing Flows and Probability Paths on Manifolds Heli Ben-Hamu Samuel N. Cohen Joey Bose Brandon Amos Aditya Grover Maximilian Nickel Ricky T. Q. Chen Y. Lipman 47 31 0 11 Jul 2022
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 153 117 0 21 Oct 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 99 83 0 10 Dec 2020