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1711.10604
Cited By
TensorFlow Distributions
28 November 2017
Joshua V. Dillon
I. Langmore
Dustin Tran
E. Brevdo
Srinivas Vasudevan
David A. Moore
Brian Patton
Alexander A. Alemi
Matt Hoffman
Rif A. Saurous
GP
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Papers citing
"TensorFlow Distributions"
11 / 61 papers shown
Title
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
Du Phan
Neeraj Pradhan
M. Jankowiak
19
349
0
24 Dec 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration
Chen Zhang
Bangti Jin
UQCV
22
12
0
01 Aug 2019
Variational Federated Multi-Task Learning
Luca Corinzia
Ami Beuret
J. M. Buhmann
FedML
27
159
0
14 Jun 2019
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes
R. Krishnan
Mahesh Subedar
Omesh Tickoo
BDL
20
46
0
12 Jun 2019
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
P. Elinas
Edwin V. Bonilla
Louis C. Tiao
BDL
GNN
21
10
0
05 Jun 2019
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data
Pierre-Alexandre Mattei
J. Frellsen
SyDa
25
45
0
06 Dec 2018
Resampled Priors for Variational Autoencoders
Matthias Bauer
A. Mnih
BDL
DRL
11
110
0
26 Oct 2018
Pyro: Deep Universal Probabilistic Programming
Eli Bingham
Jonathan P. Chen
M. Jankowiak
F. Obermeyer
Neeraj Pradhan
Theofanis Karaletsos
Rohit Singh
Paul A. Szerlip
Paul Horsfall
Noah D. Goodman
BDL
GP
11
1,030
0
18 Oct 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
A. G. Baydin
Lukas Heinrich
W. Bhimji
Lei Shao
Saeid Naderiparizi
...
Philip Torr
Victor W. Lee
P. Prabhat
Kyle Cranmer
Frank D. Wood
26
31
0
20 Jul 2018
INFERNO: Inference-Aware Neural Optimisation
P. D. Castro
T. Dorigo
16
47
0
12 Jun 2018
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
242
2,550
0
25 Jan 2016
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