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Differentiable Divergences Between Time Series

Differentiable Divergences Between Time Series

16 October 2020
Mathieu Blondel
A. Mensch
Jean-Philippe Vert
    AI4TS
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Papers citing "Differentiable Divergences Between Time Series"

11 / 11 papers shown
Title
End-to-End Adversarial Text-to-Speech
End-to-End Adversarial Text-to-Speech
Jeff Donahue
Sander Dieleman
Mikolaj Binkowski
Erich Elsen
Karen Simonyan
36
186
0
05 Jun 2020
Spatio-Temporal Alignments: Optimal transport through space and time
Spatio-Temporal Alignments: Optimal transport through space and time
H. Janati
Marco Cuturi
Alexandre Gramfort
OT
AI4TS
38
29
0
09 Oct 2019
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly
  Supervised Action Alignment and Segmentation
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
C. Chang
De-An Huang
Yanan Sui
Li Fei-Fei
Juan Carlos Niebles
88
156
0
09 Jan 2019
Interpolating between Optimal Transport and MMD using Sinkhorn
  Divergences
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy
Thibault Séjourné
François-Xavier Vialard
S. Amari
A. Trouvé
Gabriel Peyré
OT
38
524
0
18 Oct 2018
Differential Properties of Sinkhorn Approximation for Learning with
  Wasserstein Distance
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
Giulia Luise
Alessandro Rudi
Massimiliano Pontil
C. Ciliberto
OT
43
130
0
30 May 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
120
2,133
0
01 Mar 2018
Differentiable Dynamic Programming for Structured Prediction and
  Attention
Differentiable Dynamic Programming for Structured Prediction and Attention
A. Mensch
Mathieu Blondel
40
129
0
11 Feb 2018
Learning Generative Models with Sinkhorn Divergences
Learning Generative Models with Sinkhorn Divergences
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
114
625
0
01 Jun 2017
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
159
620
0
05 Mar 2017
On Wasserstein Two Sample Testing and Related Families of Nonparametric
  Tests
On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests
Aaditya Ramdas
Nicolas García Trillos
Marco Cuturi
34
482
0
08 Sep 2015
A Conditional Random Field for Discriminatively-trained Finite-state
  String Edit Distance
A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance
Andrew McCallum
Kedar Bellare
Fernando C Pereira
43
149
0
04 Jul 2012
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