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2006.04437
Cited By
The Power Spherical distribution
8 June 2020
Nicola De Cao
Wilker Aziz
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Papers citing
"The Power Spherical distribution"
20 / 20 papers shown
Title
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter
Yitian Shi
Edgar Welte
Maximilian Gilles
Rania Rayyes
61
3
0
06 Nov 2024
Neural Ordinary Differential Equations on Manifolds
Luca Falorsi
Patrick Forré
BDL
AI4CE
22
33
0
11 Jun 2020
Flows for simultaneous manifold learning and density estimation
Johann Brehmer
Kyle Cranmer
DRL
AI4CE
63
157
0
31 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
142
10,591
0
17 Feb 2020
Stochastic Normalizing Flows
Hao Wu
Jonas Köhler
Frank Noé
96
181
0
16 Feb 2020
Normalizing Flows on Tori and Spheres
Danilo Jimenez Rezende
George Papamakarios
S. Racanière
M. S. Albergo
G. Kanwar
P. Shanahan
Kyle Cranmer
TPM
42
153
0
06 Feb 2020
Increasing Expressivity of a Hyperspherical VAE
Tim R. Davidson
Jakub M. Tomczak
E. Gavves
25
6
0
07 Oct 2019
Block Neural Autoregressive Flow
Nicola De Cao
Ivan Titov
Wilker Aziz
DRL
16
121
0
09 Apr 2019
A RAD approach to deep mixture models
Laurent Dinh
Jascha Narain Sohl-Dickstein
Hugo Larochelle
Razvan Pascanu
44
46
0
18 Mar 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders
Emile Mathieu
Charline Le Lan
Chris J. Maddison
Ryota Tomioka
Yee Whye Teh
BDL
DRL
45
175
0
17 Jan 2019
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
Sachin Kumar
Yulia Tsvetkov
31
70
0
10 Dec 2018
Explorations in Homeomorphic Variational Auto-Encoding
Luca Falorsi
P. D. Haan
Tim R. Davidson
Nicola De Cao
Maurice Weiler
Patrick Forré
Taco S. Cohen
BDL
DRL
74
117
0
12 Jul 2018
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
199
5,024
0
19 Jun 2018
Implicit Reparameterization Gradients
Michael Figurnov
S. Mohamed
A. Mnih
BDL
82
231
0
22 May 2018
Hyperspherical Variational Auto-Encoders
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRL
BDL
79
381
0
03 Apr 2018
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu
Yandong Wen
Zhiding Yu
Ming Li
Bhiksha Raj
Le Song
CVBM
198
2,790
0
26 Apr 2017
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms
C. A. Naesseth
Francisco J. R. Ruiz
Scott W. Linderman
David M. Blei
BDL
101
109
0
18 Oct 2016
Directional Statistics in Machine Learning: a Brief Review
S. Sra
HAI
25
43
0
01 May 2016
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
238
4,143
0
21 May 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
622
149,474
0
22 Dec 2014
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