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Simulation-free Schrödinger bridges via score and flow matching

International Conference on Artificial Intelligence and Statistics (AISTATS), 2023

7 July 2023

Nikolay Malkin

Guy Wolf

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Papers citing "Simulation-free Schrödinger bridges via score and flow matching"

39 / 39 papers shown

Title
Entangled Schrödinger Bridge Matching Sophia Tang Yinuo Zhang Pranam Chatterjee 75 0 0 10 Nov 2025
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching Zhuo Cao Xuan Zhao Lena Krieger Hanno Scharr Ira Assent OOD 201 0 0 16 Oct 2025
Neon: Negative Extrapolation From Self-Training Improves Image Generation Sina Alemohammad Zinan Lin Richard G. Baraniuk SyDa 207 1 0 04 Oct 2025
Learning Explicit Single-Cell Dynamics Using ODE Representations Jan-Philipp von Bassewitz Adeel Pervez Marco Fumero Matthew Robinson Theofanis Karaletsos Francesco Locatello PINN AI4CE 136 0 0 03 Oct 2025
When and how can inexact generative models still sample from the data manifold? Nisha Chandramoorthy Adriaan de Clercq 56 0 0 11 Aug 2025
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres Samuel Howard Peter Potaptchik George Deligiannidis OT 316 1 0 20 Jun 2025
Branched Schrödinger Bridge Matching Sophia Tang Yinuo Zhang Alexander Tong Pranam Chatterjee 137 1 0 10 Jun 2025
Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges Tao Zhong Jonah Buchanan Christine Allen-Blanchette 166 1 0 03 Jun 2025
Adaptive Destruction Processes for Diffusion Samplers Timofei Gritsaev Nikita Morozov Kirill Tamogashev D. Tiapkin S. Samsonov A. Naumov Dmitry Vetrov Nikolay Malkin 199 3 0 02 Jun 2025
CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots Keisuke Kawano Takuro Kutsuna Naoki Hayashi Yasushi Esaki Hidenori Tanaka OT 198 1 0 23 May 2025
Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schrödinger Bridge's End Renato Berlinghieri Yunyi Shen Jialong Jiang Tamara Broderick 134 2 0 21 May 2025
Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling Dongyi Wang Yuanwei Jiang Zhenyi Zhang Xiang Gu Peijie Zhou Jian Sun 282 11 0 19 May 2025
DiverseFlow: Sample-Efficient Diverse Mode Coverage in FlowsComputer Vision and Pattern Recognition (CVPR), 2025 Mashrur M. Morshed Vishnu Boddeti 225 5 0 10 Apr 2025
h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-TransformComputer Vision and Pattern Recognition (CVPR), 2025 Toan Nguyen Kien Do D. Kieu Thin Nguyen DiffM 156 5 0 04 Mar 2025
InfoBridge: Mutual Information estimation via Bridge Matching Sergei Kholkin Ivan Butakov Evgeny Burnaev Nikita Gushchin Alexander Korotin DiffM FedML 379 1 0 03 Feb 2025
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical ImagesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Chen Liu Ke Xu Liangbo L. Shen Guillaume Huguet Zilong Wang ... Danilo Bzdok Jay Stewart Jay C. Wang L. V. Priore Smita Krishnaswamy 330 13 0 08 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based ModelsNeural Information Processing Systems (NeurIPS), 2024 Daniela de Albuquerque John Pearson DiffM 352 1 0 03 Jan 2025
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data ManifoldsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Xingzhi Sun Danqi Liao Kincaid MacDonald Yanlei Zhang Chen Liu Guillaume Huguet Guy Wolf Ian M. Adelstein Tim G. J. Rudner Smita Krishnaswamy 365 14 0 16 Oct 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein ManifoldInternational Conference on Learning Representations (ICLR), 2024 Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 402 20 0 26 Aug 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 209 40 0 23 May 2024
Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion Dohoon Lee Jaehyun Park Hyunwoo J. Kim Kyogu Lee 262 0 0 22 Apr 2024
ZigMa: A DiT-style Zigzag Mamba Diffusion Model Vincent Tao Hu S. A. Baumann Ming Gui Olga Grebenkova Pingchuan Ma Johannes S. Fischer Bjorn Ommer 267 84 0 20 Mar 2024
Efficient Trajectory Forecasting and Generation with Conditional Flow Matching Sean Ye Matthew C. Gombolay 207 5 0 16 Mar 2024
Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation Noboru Isobe Masanori Koyama Jinzhe Zhang Kunihiko Miyoshi Kenji Fukumizu 493 10 0 29 Feb 2024
Sequential Flow Straightening for Generative Modeling Jongmin Yoon Juho Lee 195 0 0 09 Feb 2024
Stable Autonomous Flow Matching Christopher Iliffe Sprague Arne Elofsson Hossein Azizpour 150 1 0 08 Feb 2024
Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications Gleb Ryzhakov Svetlana Pavlova Egor Sevriugov Ivan Oseledets 247 5 0 05 Feb 2024
Image Restoration Through Generalized Ornstein-Uhlenbeck BridgeInternational Conference on Machine Learning (ICML), 2023 Conghan Yue Zhengwei Peng Junlong Ma Shiyan Du Pengxu Wei Dongyu Zhang DiffM 199 36 0 16 Dec 2023
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis Zehua Chen Guande He Kaiwen Zheng Xu Tan Jun Zhu DiffM 242 34 0 06 Dec 2023
Unbalancedness in Neural Monge Maps Improves Unpaired Domain TranslationInternational Conference on Learning Representations (ICLR), 2023 L. Eyring Dominik Klein Théo Uscidda Giovanni Palla Niki Kilbertus Zeynep Akata Fabian J. Theis OT 208 22 0 25 Nov 2023
A Computational Framework for Solving Wasserstein Lagrangian FlowsInternational Conference on Machine Learning (ICML), 2023 Kirill Neklyudov Rob Brekelmans Alexander Tong Lazar Atanackovic Qiang Liu Alireza Makhzani OT 351 34 0 16 Oct 2023
Generative Modeling with Phase Stochastic BridgesInternational Conference on Learning Representations (ICLR), 2023 Tianrong Chen Jiatao Gu Laurent Dinh Evangelos A. Theodorou J. Susskind Shuangfei Zhai DiffM 205 23 0 11 Oct 2023
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site DesignInternational Conference on Machine Learning (ICML), 2023 Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola 406 37 0 09 Oct 2023
SE(3)-Stochastic Flow Matching for Protein Backbone GenerationInternational Conference on Learning Representations (ICLR), 2023 A. Bose Tara Akhound-Sadegh Guillaume Huguet Kilian Fatras Jarrid Rector-Brooks Cheng-Hao Liu A. Nica Maksym Korablyov Michael M. Bronstein Alexander Tong DiffM 399 132 0 03 Oct 2023
Light Schrödinger BridgeInternational Conference on Learning Representations (ICLR), 2023 Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 352 13 0 02 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General CostsNeural Information Processing Systems (NeurIPS), 2023 Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 550 3 0 02 Oct 2023
Denoising Diffusion Bridge ModelsInternational Conference on Learning Representations (ICLR), 2023 Linqi Zhou Aaron Lou Samar Khanna Stefano Ermon DiffM 310 121 0 29 Sep 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 370 533 0 01 Feb 2023
Beyond Predictions in Neural ODEs: Identification and Interventions H. Aliee Fabian J. Theis Niki Kilbertus CML 260 27 0 23 Jun 2021