ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2504.17740
  4. Cited By
Embedding Empirical Distributions for Computing Optimal Transport Maps

Embedding Empirical Distributions for Computing Optimal Transport Maps

24 April 2025
Mingchen Jiang
Peng Xu
Xichen Ye
Xiaohui Chen
Yun Yang
Yifan Chen
    OT
ArXiv (abs)PDFHTML

Papers citing "Embedding Empirical Distributions for Computing Optimal Transport Maps"

28 / 28 papers shown
Title
ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration
Mengting Ai
Tianxin Wei
Yifan Chen
Zhichen Zeng
Ritchie Zhao
G. Varatkar
B. Rouhani
Xianfeng Tang
Hanghang Tong
Jingrui He
MoE
95
3
0
10 Mar 2025
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization
Kelvin Kan
Xingjian Li
Stanley Osher
156
2
0
30 Jan 2025
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
90
7
0
15 Apr 2024
Convergence of flow-based generative models via proximal gradient
  descent in Wasserstein space
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space
Xiuyuan Cheng
Jianfeng Lu
Yixin Tan
Yao Xie
199
19
0
26 Oct 2023
Transformer Fusion with Optimal Transport
Transformer Fusion with Optimal Transport
Moritz Imfeld
Jacopo Graldi
Marco Giordano
Thomas Hofmann
Sotiris Anagnostidis
Sidak Pal Singh
ViTMoMe
93
21
0
09 Oct 2023
FlashAttention-2: Faster Attention with Better Parallelism and Work
  Partitioning
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Tri Dao
LRM
120
1,332
0
17 Jul 2023
A Brief Review of Hypernetworks in Deep Learning
A Brief Review of Hypernetworks in Deep Learning
Vinod Kumar Chauhan
Jiandong Zhou
Ping Lu
Soheila Molaei
David Clifton
129
106
0
12 Jun 2023
Flow Matching for Generative Modeling
Flow Matching for Generative Modeling
Y. Lipman
Ricky T. Q. Chen
Heli Ben-Hamu
Maximilian Nickel
Matt Le
OOD
213
1,390
0
06 Oct 2022
GeONet: a neural operator for learning the Wasserstein geodesic
GeONet: a neural operator for learning the Wasserstein geodesic
Andrew Gracyk
Xiaohui Chen
OT
73
2
0
28 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
225
1,056
0
07 Sep 2022
Supervised Training of Conditional Monge Maps
Supervised Training of Conditional Monge Maps
Charlotte Bunne
Andreas Krause
Marco Cuturi
OT
143
65
0
28 Jun 2022
Meta Optimal Transport
Meta Optimal Transport
Brandon Amos
Samuel N. Cohen
Giulia Luise
I. Redko
OT
103
24
0
10 Jun 2022
FlashAttention: Fast and Memory-Efficient Exact Attention with
  IO-Awareness
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Tri Dao
Daniel Y. Fu
Stefano Ermon
Atri Rudra
Christopher Ré
VLM
269
2,289
0
27 May 2022
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström
  Method
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method
Yifan Chen
Qi Zeng
Heng Ji
Yun Yang
66
51
0
29 Oct 2021
Using Optimal Transport as Alignment Objective for fine-tuning
  Multilingual Contextualized Embeddings
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
Sawsan Alqahtani
Garima Lalwani
Yi Zhang
Salvatore Romeo
Saab Mansour
OT
65
25
0
06 Oct 2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2
  Benchmark
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Alexander Korotin
Lingxiao Li
Aude Genevay
Justin Solomon
Alexander N. Filippov
Evgeny Burnaev
OT
167
89
0
03 Jun 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
252
4,313
0
01 Jan 2021
Distances between probability distributions of different dimensions
Distances between probability distributions of different dimensions
Yuhan Cai
Lek-Heng Lim
UDOOD
85
50
0
01 Nov 2020
Rethinking Attention with Performers
Rethinking Attention with Performers
K. Choromanski
Valerii Likhosherstov
David Dohan
Xingyou Song
Andreea Gane
...
Afroz Mohiuddin
Lukasz Kaiser
David Belanger
Lucy J. Colwell
Adrian Weller
186
1,604
0
30 Sep 2020
Linear Optimal Transport Embedding: Provable Wasserstein classification
  for certain rigid transformations and perturbations
Linear Optimal Transport Embedding: Provable Wasserstein classification for certain rigid transformations and perturbations
Caroline Moosmüller
A. Cloninger
OT
145
45
0
20 Aug 2020
Unsupervised Multilingual Alignment using Wasserstein Barycenter
Unsupervised Multilingual Alignment using Wasserstein Barycenter
Jiale Han
Kshitij Jain
B. Cheng
Pascal Poupart
Xu Wang
58
25
0
28 Jan 2020
Are Transformers universal approximators of sequence-to-sequence
  functions?
Are Transformers universal approximators of sequence-to-sequence functions?
Chulhee Yun
Srinadh Bhojanapalli
A. S. Rawat
Sashank J. Reddi
Sanjiv Kumar
128
359
0
20 Dec 2019
Model Fusion via Optimal Transport
Model Fusion via Optimal Transport
Sidak Pal Singh
Martin Jaggi
MoMeFedML
131
241
0
12 Oct 2019
Optimal transport mapping via input convex neural networks
Optimal transport mapping via input convex neural networks
Ashok Vardhan Makkuva
Amirhossein Taghvaei
Sewoong Oh
Jason D. Lee
OT
76
202
0
28 Aug 2019
Style Transfer by Relaxed Optimal Transport and Self-Similarity
Style Transfer by Relaxed Optimal Transport and Self-Similarity
Nicholas I. Kolkin
Jason Salavon
Gregory Shakhnarovich
92
283
0
29 Apr 2019
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
819
132,725
0
12 Jun 2017
Joint Distribution Optimal Transportation for Domain Adaptation
Joint Distribution Optimal Transportation for Domain Adaptation
Nicolas Courty
Rémi Flamary
Amaury Habrard
A. Rakotomamonjy
OTOOD
88
569
0
24 May 2017
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
291
625
0
22 Sep 2016
1