Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
All Papers
0 / 0 papers shown
Title
Home
Papers
2310.01105
Cited By
v1
v2
v3
v4 (latest)
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Neural Information Processing Systems (NeurIPS), 2023
2 October 2023
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
Anastasis Kratsios
Evgeny Burnaev
Alexander Korotin
OT
Re-assign community
ArXiv (abs)
PDF
HTML
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
320
1
0
20 Jun 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
International Conference on Learning Representations (ICLR), 2024
Milena Gazdieva
Jaemoo Choi
Alexander Kolesov
Jaewoong Choi
Petr Mokrov
Alexander Korotin
OT
359
5
0
04 Oct 2024
Neural Optimal Transport with Lagrangian Costs
Aram-Alexandre Pooladian
Carles Domingo-Enrich
Ricky T. Q. Chen
Brandon Amos
OT
316
19
0
01 Jun 2024
Estimating Barycenters of Distributions with Neural Optimal Transport
International Conference on Machine Learning (ICML), 2024
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
Evgeny Burnaev
Alexander Korotin
OT
272
10
0
06 Feb 2024
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
Neural Information Processing Systems (NeurIPS), 2023
Nikita Gushchin
Alexander Kolesov
Petr Mokrov
Polina Karpikova
A. Spiridonov
Evgeny Burnaev
Alexander Korotin
OT
DiffM
347
18
0
16 Jun 2023
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters
Neural Information Processing Systems (NeurIPS), 2023
Maxence Noble
Valentin De Bortoli
Arnaud Doucet
Alain Durmus
DiffM
OT
233
11
0
26 May 2023
Energy-guided Entropic Neural Optimal Transport
International Conference on Learning Representations (ICLR), 2023
Petr Mokrov
Alexander Korotin
Alexander Kolesov
Nikita Gushchin
Evgeny Burnaev
OT
492
27
0
12 Apr 2023
Diffusion Schrödinger Bridge Matching
Neural Information Processing Systems (NeurIPS), 2023
Yuyang Shi
Valentin De Bortoli
Andrew Campbell
Arnaud Doucet
DiffM
OT
374
111
0
29 Mar 2023
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
240
16
0
21 Mar 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
International 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
406
541
0
01 Feb 2023
Extremal Domain Translation with Neural Optimal Transport
Neural Information Processing Systems (NeurIPS), 2023
Milena Gazdieva
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
295
15
0
30 Jan 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
International Conference on Machine Learning (ICML), 2023
Axel Sauer
Tero Karras
S. Laine
Andreas Geiger
Timo Aila
248
259
0
23 Jan 2023
Entropic Neural Optimal Transport via Diffusion Processes
Neural 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 transport
International Conference on Learning Representations (ICLR), 2022
Brandon Amos
OT
276
31
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
218
29
0
15 Jun 2022
Neural Optimal Transport with General Cost Functionals
International 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
955
8,148
0
13 Apr 2022
Wasserstein Iterative Networks for Barycenter Estimation
Neural Information Processing Systems (NeurIPS), 2022
Alexander Korotin
Vage Egiazarian
Lingxiao Li
Evgeny Burnaev
287
32
0
28 Jan 2022
Neural Optimal Transport
International Conference on Learning Representations (ICLR), 2022
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
470
123
0
28 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
DiffM
1.3K
20,430
0
20 Dec 2021
Variational Wasserstein Barycenters with c-Cyclical Monotonicity
AAAI Conference on Artificial Intelligence (AAAI), 2021
Jinjin Chi
Zhiyao Yang
Jihong Ouyang
Ximing Li
200
6
0
22 Oct 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
International Conference on Learning Representations (ICLR), 2021
T. Chen
Guan-Horng Liu
Evangelos A. Theodorou
DiffM
OT
590
218
0
21 Oct 2021
Score-based Generative Neural Networks for Large-Scale Optimal Transport
Neural Information Processing Systems (NeurIPS), 2021
Max Daniels
Tyler Maunu
Paul Hand
OT
DiffM
480
88
0
07 Oct 2021
Generative Modeling with Optimal Transport Maps
Litu Rout
Alexander Korotin
Evgeny Burnaev
OT
DiffM
380
80
0
06 Oct 2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
Conference 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 Distributions
International 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
266
32
0
07 Jun 2021
Solving Schrödinger Bridges via Maximum Likelihood
Entropy (Entropy), 2021
Francisco Vargas
Pierre Thodoroff
Neil D. Lawrence
A. Lamacraft
OT
581
172
0
03 Jun 2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Neural Information Processing Systems (NeurIPS), 2021
Alexander Korotin
Lingxiao Li
Aude Genevay
Justin Solomon
Alexander N. Filippov
Evgeny Burnaev
OT
327
98
0
03 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Neural Information Processing Systems (NeurIPS), 2021
Valentin De Bortoli
James Thornton
J. Heng
Arnaud Doucet
DiffM
OT
415
586
0
01 Jun 2021
A novel notion of barycenter for probability distributions based on optimal weak mass transport
Neural 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 Survey
IEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021
Hao Guan
Mingxia Liu
OOD
307
755
0
18 Feb 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
Neural 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 Optimization
International Conference on Learning Representations (ICLR), 2021
Alexander Korotin
Lingxiao Li
Justin Solomon
Evgeny Burnaev
193
57
0
02 Feb 2021
How to Train Your Energy-Based Models
Yang Song
Diederik P. Kingma
DiffM
284
298
0
09 Jan 2021
Wasserstein barycenters are NP-hard to compute
SIAM 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 Likelihood
International 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 Models
International Conference on Machine Learning (ICML), 2020
Yilun Du
Shuang Li
J. Tenenbaum
Igor Mordatch
494
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
118
46
0
14 Oct 2020
Continuous Regularized Wasserstein Barycenters
Neural 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 Networks
International Conference on Machine Learning (ICML), 2020
JiaoJiao Fan
Amirhossein Taghvaei
Yongxin Chen
282
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
2
2
-Wasserstein Distance between Gaussian Measures
Anton Mallasto
Augusto Gerolin
H. Q. Minh
184
61
0
05 Jun 2020
Barycenters of Natural Images -- Constrained Wasserstein Barycenters for Image Morphing
Computer Vision and Pattern Recognition (CVPR), 2019
Dror Simon
Aviad Aberdam
171
22
0
24 Dec 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions
Neural 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-GAN
International 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
121
0
30 Oct 2019
Wasserstein-2 Generative Networks
International Conference on Learning Representations (ICLR), 2019
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
Evgeny Burnaev
GAN
406
122
0
28 Sep 2019
1
2
Next
