ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.00292
  4. Cited By
Learning Generative Models with Sinkhorn Divergences
v1v2v3 (latest)

Learning Generative Models with Sinkhorn Divergences

International Conference on Artificial Intelligence and Statistics (AISTATS), 2017
1 June 2017
Aude Genevay
Gabriel Peyré
Marco Cuturi
    OT
ArXiv (abs)PDFHTML

Papers citing "Learning Generative Models with Sinkhorn Divergences"

50 / 399 papers shown
Freeze, Diffuse, Decode: Geometry-Aware Adaptation of Pretrained Transformer Embeddings for Antimicrobial Peptide Design
Freeze, Diffuse, Decode: Geometry-Aware Adaptation of Pretrained Transformer Embeddings for Antimicrobial Peptide Design
Pankhil Gawade
Adam Izdebski
Myriam Lizotte
Kevin R. Moon
Jake S. Rhodes
Guy Wolf
Ewa Szczurek
AI4CE
147
0
0
28 Nov 2025
SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
Henry Onyeka
Emmanuel Samson
Liang Hong
Tariqul Islam
Imtiaz Ahmed
Kamrul Hasan
41
0
0
28 Nov 2025
Structured Matching via Cost-Regularized Unbalanced Optimal Transport
Structured Matching via Cost-Regularized Unbalanced Optimal Transport
Emanuele Pardini
Katerina Papagiannouli
OT
278
0
0
24 Nov 2025
ReBaPL: Repulsive Bayesian Prompt Learning
ReBaPL: Repulsive Bayesian Prompt Learning
Yassir Bendou
Omar Ezzahir
Eduardo Fernandes Montesuma
Gabriel Mahuas
Victoria Shevchenko
Mike Gartrell
OffRL
251
0
0
21 Nov 2025
Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
Ferdinand Genans
Antoine Godichon-Baggioni
François-Xavier Vialard
Olivier Wintenberger
136
0
0
31 Oct 2025
Mechanistic Interpretability of RNNs emulating Hidden Markov Models
Mechanistic Interpretability of RNNs emulating Hidden Markov Models
Elia Torre
Michele Viscione
Lucas Pompe
Benjamin F Grewe
Valerio Mante
AI4CE
142
0
0
29 Oct 2025
Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schrödinger Bridge Estimation
Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schrödinger Bridge Estimation
Ibuki Maeda
Rentian Yao
Atsushi Nitanda
OT
301
0
0
26 Oct 2025
Contraction and entropy production in continuous-time Sinkhorn dynamics
Contraction and entropy production in continuous-time Sinkhorn dynamics
Anand Srinivasan
Jean-Jacques Slotine
99
0
0
14 Oct 2025
Slicing Wasserstein Over Wasserstein Via Functional Optimal Transport
Slicing Wasserstein Over Wasserstein Via Functional Optimal Transport
Moritz Piening
Robert Beinert
110
0
0
26 Sep 2025
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
Khai Nguyen
Hai Nguyen
N. Ho
OT3DPC3DV
163
1
0
24 Sep 2025
Optimal Transport Based Hyperspectral Unmixing for Highly Mixed Observations
Optimal Transport Based Hyperspectral Unmixing for Highly Mixed ObservationsWorkshop on Hyperspectral Image and Signal Processing (WHISPERS), 2024
D. Doutsas
B. Figliuzzi
OT
188
0
0
24 Sep 2025
E-ROBOT: a dimension-free method for robust statistics and machine learning via Schrödinger bridge
E-ROBOT: a dimension-free method for robust statistics and machine learning via Schrödinger bridge
Davide La Vecchia
Hang Liu
115
0
0
15 Sep 2025
APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
Sasan Sharifipour
Constantino Álvarez Casado
Mohammad Sabokrou
Miguel Bordallo López
3DPC
100
1
0
09 Sep 2025
Weighted Conditional Flow Matching
Weighted Conditional Flow Matching
Sergio Calvo-Ordoñez
Matthieu Meunier
Alvaro Cartea
C. Reisinger
Yarin Gal
Jose Miguel Hernandez-Lobato
202
1
0
29 Jul 2025
Information Must Flow: Recursive Bootstrapping for Information Bottleneck in Optimal Transport
Information Must Flow: Recursive Bootstrapping for Information Bottleneck in Optimal Transport
Xin Li
205
2
0
08 Jul 2025
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Samuel Howard
Peter Potaptchik
George Deligiannidis
OT
438
1
0
20 Jun 2025
Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection
Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection
Ruiying Lu
Jinhan Liu
Chuan Du
D. Guo
OODAAML
172
0
0
03 Jun 2025
The quest for the GRAph Level autoEncoder (GRALE)
The quest for the GRAph Level autoEncoder (GRALE)
Paul Krzakala
Gabriel Melo
Charlotte Laclau
Florence dÁlché-Buc
Rémi Flamary
330
0
0
28 May 2025
Differentiable Generalized Sliced Wasserstein Plans
Differentiable Generalized Sliced Wasserstein Plans
Laetitia Chapel
Romain Tavenard
Samuel Vaiter
OT
365
6
0
28 May 2025
Distances for Markov chains from sample streams
Distances for Markov chains from sample streams
Sergio Calo
Anders Jonsson
Gergely Neu
Ludovic Schwartz
Javier Segovia-Aguas
194
1
0
23 May 2025
Faster Computation of Entropic Optimal Transport via Stable Low Frequency Modes
Faster Computation of Entropic Optimal Transport via Stable Low Frequency Modes
Reda Chhaibi
Serge Gratton
Samuel Vaiter
OT
145
0
0
23 May 2025
Generative Distribution Embeddings
Nic Fishman
Gokul Gowri
Peng Yin
Jonathan Gootenberg
Omar Abudayyeh
SyDa
1.2K
0
0
23 May 2025
Joint stochastic localization and applications
Joint stochastic localization and applications
Tom Alberts
Yiming Xu
Qiang Ye
216
0
0
19 May 2025
Flow Matching Ergodic Coverage
Flow Matching Ergodic Coverage
Max Muchen Sun
Allison Pinosky
Todd Murphey
237
1
0
24 Apr 2025
Resonances in reflective Hamiltonian Monte Carlo
Resonances in reflective Hamiltonian Monte CarloPhysical Review E (Phys. Rev. E), 2025
Namu Kroupa
Gábor Csányi
Will Handley
306
0
0
16 Apr 2025
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap
Alice Driessen
Benedek Harsanyi
Marianna Rapsomaniki
Jannis Born
AI4CE
239
1
0
11 Apr 2025
A Truncated Newton Method for Optimal Transport
A Truncated Newton Method for Optimal TransportInternational Conference on Learning Representations (ICLR), 2025
Mete Kemertas
Amir-massoud Farahmand
Allan D. Jepson
OT
247
1
0
02 Apr 2025
Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization
Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization
Yue Yang
Yi Zhou
Zhaosong Lu
322
0
0
29 Mar 2025
Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
Christophe Vauthier
Anna Korba
Quentin Mérigot
201
0
0
10 Feb 2025
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal
  Transport
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport
Michael Wilson
Tom Needham
A. Srivastava
OT
232
1
0
15 Nov 2024
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
Mohammad R. Rezaei
Rahul G. Krishnan
Milos R. Popovic
M. Lankarany
DiffM
559
0
0
22 Sep 2024
A Sinkhorn Regularized Adversarial Network for Image Guided DEM
  Super-resolution using Frequency Selective Hybrid Graph Transformer
A Sinkhorn Regularized Adversarial Network for Image Guided DEM Super-resolution using Frequency Selective Hybrid Graph TransformerInternational Conference on Pattern Recognition (ICPR), 2024
Subhajit Paul
Ashutosh Gupta
221
0
0
21 Sep 2024
Multimodal Prototyping for cancer survival prediction
Multimodal Prototyping for cancer survival prediction
Andrew H. Song
Richard J. Chen
Guillaume Jaume
Anurag J. Vaidya
Alexander S. Baras
Faisal Mahmood
338
39
0
28 Jun 2024
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights
Zeqin Yang
Weilin Chen
Ruichu Cai
Yuguang Yan
Zhifeng Hao
Zhipeng Yu
Zhichao Zou
Jixing Xu
Zhen Peng
Jiecheng Guo
366
3
0
27 Jun 2024
Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D
  Generative Modeling
Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling
Abril Corona-Figueroa
Hubert P. H. Shum
Chris G. Willcocks
189
2
0
26 Jun 2024
Differentiable Cost-Parameterized Monge Map Estimators
Differentiable Cost-Parameterized Monge Map Estimators
Samuel Howard
George Deligiannidis
Patrick Rebeschini
James Thornton
OT
281
1
0
12 Jun 2024
Progressive Entropic Optimal Transport Solvers
Progressive Entropic Optimal Transport SolversNeural Information Processing Systems (NeurIPS), 2024
Parnian Kassraie
Aram-Alexandre Pooladian
Stephen Zhang
James Thornton
Jonathan Niles-Weed
Marco Cuturi
OT
316
7
0
07 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation
SAVA: Scalable Learning-Agnostic Data Valuation
Samuel Kessler
Tam Le
Vu Nguyen
TDI
477
1
0
03 Jun 2024
On the Convergence of the Sinkhorn-Knopp Algorithm with Sparse Cost
  Matrices
On the Convergence of the Sinkhorn-Knopp Algorithm with Sparse Cost Matrices
Jose Rafael Espinosa Mena
240
1
0
30 May 2024
FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling
  Paradigm
FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm
Xiaobao Wu
Thong Nguyen
Delvin Ce Zhang
William Yang Wang
Anh Tuan Luu
286
4
0
28 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Yeongmin Kim
Kwanghyeon Lee
Minsang Park
Byeonghu Na
Il-Chul Moon
DiffM
497
6
0
27 May 2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Jie Wang
M. Boedihardjo
Yao Xie
405
3
0
24 May 2024
Fisher Flow Matching for Generative Modeling over Discrete Data
Fisher Flow Matching for Generative Modeling over Discrete DataNeural Information Processing Systems (NeurIPS), 2024
Oscar Davis
Samuel Kessler
Mircea Petrache
.Ismail .Ilkan Ceylan
Michael M. Bronstein
A. Bose
467
34
0
23 May 2024
Semi-Discrete Optimal Transport: Nearly Minimax Estimation With
  Stochastic Gradient Descent and Adaptive Entropic Regularization
Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization
Ferdinand Genans
Antoine Godichon-Baggioni
Franccois-Xavier Vialard
Olivier Wintenberger
216
0
0
23 May 2024
Stochastic Learning of Computational Resource Usage as Graph Structured Multimarginal Schrödinger Bridge
Stochastic Learning of Computational Resource Usage as Graph Structured Multimarginal Schrödinger Bridge
Georgiy A. Bondar
Robert Gifford
Linh Thi Xuan Phan
Abhishek Halder
227
1
0
21 May 2024
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
Revisiting Deep Audio-Text Retrieval Through the Lens of TransportationInternational Conference on Learning Representations (ICLR), 2024
Manh Luong
Khai Nguyen
Nhat Ho
Reza Haf
D.Q. Phung
Lizhen Qu
OTAuLLM
239
16
0
16 May 2024
Deep MMD Gradient Flow without adversarial training
Deep MMD Gradient Flow without adversarial training
Alexandre Galashov
Valentin De Bortoli
Arthur Gretton
DiffM
233
10
0
10 May 2024
A New Robust Partial $p$-Wasserstein-Based Metric for Comparing
  Distributions
A New Robust Partial ppp-Wasserstein-Based Metric for Comparing DistributionsInternational Conference on Machine Learning (ICML), 2024
S. Raghvendra
Pouyan Shirzadian
Kaiyi Zhang
346
7
0
06 May 2024
Get more for less: Principled Data Selection for Warming Up Fine-Tuning
  in LLMs
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMsInternational Conference on Learning Representations (ICLR), 2024
Feiyang Kang
H. Just
Yifan Sun
Himanshu Jahagirdar
Yuanzhi Zhang
Rongxing Du
Anit Kumar Sahu
Ruoxi Jia
178
30
0
05 May 2024
Wasserstein Wormhole: Scalable Optimal Transport Distance with
  Transformers
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers
Doron Haviv
Russell Z. Kunes
Thomas Dougherty
Cassandra Burdziak
T. Nawy
Anna Gilbert
Dana Peér
OT
438
11
0
15 Apr 2024
12345678
Next