v1v2v3v4 (latest)

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs

Neural Information Processing Systems (NeurIPS), 2023

2 October 2023

Papers citing "Energy-Guided Continuous Entropic Barycenter Estimation for General Costs"

50 / 71 papers shown

Title
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres Samuel Howard Peter Potaptchik George Deligiannidis OT 348 1 0 20 Jun 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal TransportInternational Conference on Learning Representations (ICLR), 2024 Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 371 5 0 04 Oct 2024
Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian Carles Domingo-Enrich Ricky T. Q. Chen Brandon Amos OT 320 19 0 01 Jun 2024
Estimating Barycenters of Distributions with Neural Optimal TransportInternational Conference on Machine Learning (ICML), 2024 Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Evgeny Burnaev Alexander Korotin OT 280 10 0 06 Feb 2024
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport BenchmarkNeural Information Processing Systems (NeurIPS), 2023 Nikita Gushchin Alexander Kolesov Petr Mokrov Polina Karpikova A. Spiridonov Evgeny Burnaev Alexander Korotin OT DiffM 351 18 0 16 Jun 2023
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein BarycentersNeural Information Processing Systems (NeurIPS), 2023 Maxence Noble Valentin De Bortoli Arnaud Doucet Alain Durmus DiffM OT 253 11 0 26 May 2023
Energy-guided Entropic Neural Optimal TransportInternational Conference on Learning Representations (ICLR), 2023 Petr Mokrov Alexander Korotin Alexander Kolesov Nikita Gushchin Evgeny Burnaev OT 526 27 0 12 Apr 2023
Diffusion Schrödinger Bridge MatchingNeural Information Processing Systems (NeurIPS), 2023 Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 399 111 0 29 Mar 2023
Doubly Regularized Entropic Wasserstein Barycenters Lénaïc Chizat 264 16 0 21 Mar 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMCInternational Conference on Machine Learning (ICML), 2023 Yilun Du Conor Durkan Robin Strudel J. Tenenbaum Sander Dieleman Rob Fergus Jascha Narain Sohl-Dickstein Arnaud Doucet Will Grathwohl DiffM 380 194 0 22 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 462 548 0 01 Feb 2023
Extremal Domain Translation with Neural Optimal TransportNeural Information Processing Systems (NeurIPS), 2023 Milena Gazdieva Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 299 15 0 30 Jan 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image SynthesisInternational Conference on Machine Learning (ICML), 2023 Axel Sauer Tero Karras S. Laine Andreas Geiger Timo Aila 256 259 0 23 Jan 2023
Entropic Neural Optimal Transport via Diffusion ProcessesNeural Information Processing Systems (NeurIPS), 2022 Nikita Gushchin Alexander Kolesov Alexander Korotin Dmitry Vetrov Evgeny Burnaev OT DiffM 227 49 0 02 Nov 2022
On amortizing convex conjugates for optimal transportInternational Conference on Learning Representations (ICLR), 2022 Brandon Amos OT 284 32 0 21 Oct 2022
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?Neural Information Processing Systems (NeurIPS), 2022 Alexander Korotin Alexander Kolesov Evgeny Burnaev OT 230 29 0 15 Jun 2022
Neural Optimal Transport with General Cost FunctionalsInternational Conference on Learning Representations (ICLR), 2022 Arip Asadulaev Alexander Korotin Vage Egiazarian Petr Mokrov Evgeny Burnaev OT 269 41 0 30 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 983 8,180 0 13 Apr 2022
Wasserstein Iterative Networks for Barycenter EstimationNeural Information Processing Systems (NeurIPS), 2022 Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 295 32 0 28 Jan 2022
Neural Optimal TransportInternational Conference on Learning Representations (ICLR), 2022 Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 478 124 0 28 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021 Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer DiffM 1.4K 20,545 0 20 Dec 2021
Variational Wasserstein Barycenters with c-Cyclical MonotonicityAAAI Conference on Artificial Intelligence (AAAI), 2021 Jinjin Chi Zhiyao Yang Jihong Ouyang Ximing Li 208 6 0 22 Oct 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs TheoryInternational Conference on Learning Representations (ICLR), 2021 T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 590 219 0 21 Oct 2021
Score-based Generative Neural Networks for Large-Scale Optimal TransportNeural Information Processing Systems (NeurIPS), 2021 Max Daniels Tyler Maunu Paul Hand OT DiffM 480 89 0 07 Oct 2021
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 384 81 0 06 Oct 2021
Automatic Text Evaluation through the Lens of Wasserstein BarycentersConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Pierre Colombo Guillaume Staerman Chloé Clavel Pablo Piantanida 337 43 0 27 Aug 2021
Entropic Gromov-Wasserstein between Gaussian DistributionsInternational Conference on Machine Learning (ICML), 2021 Khang Le Dung D. Le Huy Nguyen Dat Do Tung Pham Nhat Ho OT 142 19 0 24 Aug 2021
Neural Monge Map estimation and its applications JiaoJiao Fan Shu Liu Shaojun Ma Haomin Zhou Yongxin Chen OT 306 32 0 07 Jun 2021
Solving Schrödinger Bridges via Maximum LikelihoodEntropy (Entropy), 2021 Francisco Vargas Pierre Thodoroff Neil D. Lawrence A. Lamacraft OT 581 173 0 03 Jun 2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 BenchmarkNeural Information Processing Systems (NeurIPS), 2021 Alexander Korotin Lingxiao Li Aude Genevay Justin Solomon Alexander N. Filippov Evgeny Burnaev OT 339 98 0 03 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative ModelingNeural Information Processing Systems (NeurIPS), 2021 Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 463 587 0 01 Jun 2021
A novel notion of barycenter for probability distributions based on optimal weak mass transportNeural Information Processing Systems (NeurIPS), 2021 Elsa Cazelles Felipe A. Tobar J. Fontbona OT 234 14 0 26 Feb 2021
Domain Adaptation for Medical Image Analysis: A SurveyIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021 Hao Guan Mingxia Liu OOD 319 761 0 18 Feb 2021
On Robust Optimal Transport: Computational Complexity and Barycenter ComputationNeural Information Processing Systems (NeurIPS), 2021 Khang Le Huy Le Nguyen Quang H. Nguyen Tung Pham Hung Bui Nhat Ho OT 155 41 0 13 Feb 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax OptimizationInternational Conference on Learning Representations (ICLR), 2021 Alexander Korotin Lingxiao Li Justin Solomon Evgeny Burnaev 205 57 0 02 Feb 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 292 299 0 09 Jan 2021
Wasserstein barycenters are NP-hard to computeSIAM Journal on Mathematics of Data Science (SIMODS), 2021 Jason M. Altschuler Enric Boix-Adserà OT 578 52 0 04 Jan 2021
Learning Energy-Based Models by Diffusion Recovery LikelihoodInternational Conference on Learning Representations (ICLR), 2020 Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 255 135 0 15 Dec 2020
Improved Contrastive Divergence Training of Energy Based ModelsInternational Conference on Machine Learning (ICML), 2020 Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 534 163 0 02 Dec 2020
Domain Shift in Computer Vision models for MRI data analysis: An Overview E. Kondrateva Marina Pominova E. Popova M. Sharaev A. Bernstein Evgeny Burnaev OOD 122 46 0 14 Oct 2020
Continuous Regularized Wasserstein BarycentersNeural Information Processing Systems (NeurIPS), 2020 Lingxiao Li Aude Genevay Mikhail Yurochkin Justin Solomon 201 51 0 28 Aug 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 306 25 0 14 Jul 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural NetworksInternational Conference on Machine Learning (ICML), 2020 JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 286 61 0 08 Jul 2020
Involutive MCMC: a Unifying Framework Kirill Neklyudov Max Welling Evgenii Egorov Dmitry Vetrov 190 38 0 30 Jun 2020
The statistical effect of entropic regularization in optimal transportation E. del Barrio Jean-Michel Loubes OT 161 23 0 09 Jun 2020
Entropy-Regularized $2$ -Wasserstein Distance between Gaussian Measures Anton Mallasto Augusto Gerolin H. Q. Minh 188 61 0 05 Jun 2020
Barycenters of Natural Images -- Constrained Wasserstein Barycenters for Image MorphingComputer Vision and Pattern Recognition (CVPR), 2019 Dror Simon Aviad Aberdam 179 22 0 24 Dec 2019
Energy-Inspired Models: Learning with Sampler-Induced DistributionsNeural Information Processing Systems (NeurIPS), 2019 Dieterich Lawson George Tucker Bo Dai Rajesh Ranganath 226 32 0 31 Oct 2019
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GANInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 Wenjun Yan Yuanyuan Wang Shengjia Gu Lu Huang Fuhua Yan L. Xia Qian Tao OOD MedIm 135 122 0 30 Oct 2019
Wasserstein-2 Generative NetworksInternational Conference on Learning Representations (ICLR), 2019 Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin Evgeny Burnaev GAN 418 124 0 28 Sep 2019