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. 2304.08673
  4. Cited By
Semi-supervised Learning of Pushforwards For Domain Translation &
  Adaptation

Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation

18 April 2023
N. Panda
Natalie Klein
Dominic Yang
P. Gasda
Diane Oyen
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation"

18 / 18 papers shown
Title
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian
  Preserving Flows
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows
G. Morel
Lucas Drumetz
Simon Benaïchouche
Nicolas Courty
F. Rousseau
OT
85
6
0
22 Sep 2022
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training
Florentin Coeurdoux
N. Dobigeon
P. Chainais
TPM
33
6
0
12 Jul 2022
Neural Optimal Transport
Neural Optimal Transport
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
186
96
0
28 Jan 2022
Universal Approximation for Log-concave Distributions using
  Well-conditioned Normalizing Flows
Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows
Holden Lee
Chirag Pabbaraju
A. Sevekari
Andrej Risteski
45
8
0
07 Jul 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
143
88
0
03 Jun 2021
Unbalanced minibatch Optimal Transport; applications to Domain
  Adaptation
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras
Thibault Séjourné
Nicolas Courty
Rémi Flamary
OT
78
151
0
05 Mar 2021
Convex Potential Flows: Universal Probability Distributions with Optimal
  Transport and Convex Optimization
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang
Ricky T. Q. Chen
Christos Tsirigotis
Aaron Courville
OT
177
98
0
10 Dec 2020
Deep Spectral CNN for Laser Induced Breakdown Spectroscopy
Deep Spectral CNN for Laser Induced Breakdown Spectroscopy
Juan Castorena
Diane Oyen
A. Ollila
Carey Legget
N. Lanza
26
36
0
03 Dec 2020
Robust Optimal Transport with Applications in Generative Modeling and
  Domain Adaptation
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation
Yogesh Balaji
Ramalingam Chellappa
Soheil Feizi
OT
155
105
0
12 Oct 2020
Composing Normalizing Flows for Inverse Problems
Composing Normalizing Flows for Inverse Problems
Jay Whang
Erik M. Lindgren
A. Dimakis
TPM
93
51
0
26 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPMAI4CE
207
1,697
0
05 Dec 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
47
200
0
28 Aug 2019
Optimal Unsupervised Domain Translation
Optimal Unsupervised Domain Translation
Emmanuel de Bézenac
Ibrahim Ayed
Patrick Gallinari
OT
35
19
0
04 Jun 2019
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised
  Domain Adaptation
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
B. Damodaran
B. Kellenberger
Rémi Flamary
D. Tuia
Nicolas Courty
OTOOD
80
466
0
27 Mar 2018
Joint Distribution Optimal Transportation for Domain Adaptation
Joint Distribution Optimal Transportation for Domain Adaptation
Nicolas Courty
Rémi Flamary
Amaury Habrard
A. Rakotomamonjy
OTOOD
88
564
0
24 May 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
272
3,702
0
26 May 2016
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
215
4,277
0
04 Jun 2013
1