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Riemannian Adaptive Optimization Methods

Riemannian Adaptive Optimization Methods

1 October 2018
Gary Bécigneul
O. Ganea
    ODL
ArXivPDFHTML

Papers citing "Riemannian Adaptive Optimization Methods"

7 / 57 papers shown
Title
Mixed-curvature Variational Autoencoders
Mixed-curvature Variational Autoencoders
Ondrej Skopek
O. Ganea
Gary Bécigneul
CML
DRL
BDL
30
101
0
19 Nov 2019
Hyperbolic Graph Neural Networks
Hyperbolic Graph Neural Networks
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CE
GNN
45
372
0
28 Oct 2019
Multi-relational Poincaré Graph Embeddings
Multi-relational Poincaré Graph Embeddings
Ivana Balazevic
Carl Allen
Timothy M. Hospedales
27
265
0
23 May 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple
  Parametrization of the Orthogonal and Unitary Group
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
Mario Lezcano Casado
David Martínez-Rubio
29
194
0
24 Jan 2019
Poincaré GloVe: Hyperbolic Word Embeddings
Poincaré GloVe: Hyperbolic Word Embeddings
A. Tifrea
Gary Bécigneul
O. Ganea
29
280
0
15 Oct 2018
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for
  Recommender Systems
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Lucas Vinh Tran
Yi Tay
Shuai Zhang
Gao Cong
Xiaoli Li
27
122
0
05 Sep 2018
geomstats: a Python Package for Riemannian Geometry in Machine Learning
geomstats: a Python Package for Riemannian Geometry in Machine Learning
Nina Miolane
Johan Mathe
Claire Donnat
Mikael Jorda
Xavier Pennec
AI4CE
37
123
0
21 May 2018
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