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1912.02762
Cited By
Normalizing Flows for Probabilistic Modeling and Inference
5 December 2019
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPM
AI4CE
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Papers citing
"Normalizing Flows for Probabilistic Modeling and Inference"
27 / 277 papers shown
Title
Conditional Set Generation with Transformers
Adam R. Kosiorek
Hyunjik Kim
Danilo Jimenez Rezende
19
40
0
26 Jun 2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning
Luigi Gresele
G. Fissore
Adrián Javaloy
Bernhard Schölkopf
Aapo Hyvarinen
DRL
6
22
0
26 Jun 2020
The Gaussian equivalence of generative models for learning with shallow neural networks
Sebastian Goldt
Bruno Loureiro
Galen Reeves
Florent Krzakala
M. Mézard
Lenka Zdeborová
BDL
33
100
0
25 Jun 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
Rianne van den Berg
A. Gritsenko
Mostafa Dehghani
C. Sønderby
Tim Salimans
17
59
0
22 Jun 2020
STEER: Simple Temporal Regularization For Neural ODEs
Arna Ghosh
Harkirat Singh Behl
Emilien Dupont
Philip H. S. Torr
Vinay P. Namboodiri
BDL
AI4TS
19
74
0
18 Jun 2020
Riemannian Continuous Normalizing Flows
Emile Mathieu
Maximilian Nickel
AI4CE
25
119
0
18 Jun 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks
Jens Behrmann
Paul Vicol
Kuan-Chieh Jackson Wang
Roger C. Grosse
J. Jacobsen
8
92
0
16 Jun 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data
Kristopher T. Jensen
Ta-Chu Kao
Marco Tripodi
Guillaume Hennequin
DRL
13
31
0
12 Jun 2020
Neural Ordinary Differential Equations on Manifolds
Luca Falorsi
Patrick Forré
BDL
AI4CE
6
33
0
11 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski
Daniel Coelho De Castro
Ben Glocker
CML
MedIm
25
229
0
11 Jun 2020
Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation of Facial Gestures in Dyadic Settings
Patrik Jonell
Taras Kucherenko
G. Henter
Jonas Beskow
CVBM
15
60
0
11 Jun 2020
Probabilistic Autoencoder
Vanessa Böhm
U. Seljak
UQCV
BDL
DRL
16
32
0
09 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows
Emiel Hoogeboom
Victor Garcia Satorras
Jakub M. Tomczak
Max Welling
17
28
0
02 Jun 2020
The role of exchangeability in causal inference
O. Saarela
D. Stephens
E. Moodie
27
5
0
02 Jun 2020
Deep Normalization for Speaker Vectors
Yunqi Cai
Lantian Li
Dong Wang
Andrew Abel
21
25
0
07 Apr 2020
Solving Inverse Problems with a Flow-based Noise Model
Jay Whang
Qi Lei
A. Dimakis
56
36
0
18 Mar 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
Chin-Wei Huang
Laurent Dinh
Aaron Courville
DRL
24
87
0
17 Feb 2020
Stochastic Normalizing Flows
Hao Wu
Jonas Köhler
Frank Noé
37
176
0
16 Feb 2020
Targeted free energy estimation via learned mappings
Peter Wirnsberger
A. J. Ballard
George Papamakarios
Stuart Abercrombie
S. Racanière
Alexander Pritzel
Danilo Jimenez Rezende
Charles Blundell
11
86
0
12 Feb 2020
On Contrastive Learning for Likelihood-free Inference
Conor Durkan
Iain Murray
George Papamakarios
BDL
34
117
0
10 Feb 2020
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
Pablo Morales-Álvarez
Pablo Ruiz
S. Coughlin
Rafael Molina
Aggelos K. Katsaggelos
16
14
0
05 Nov 2019
The Neural Moving Average Model for Scalable Variational Inference of State Space Models
Tom Ryder
D. Prangle
Andrew Golightly
Isaac Matthews
BDL
AI4TS
14
6
0
02 Oct 2019
Cubic-Spline Flows
Conor Durkan
Artur Bekasov
Iain Murray
George Papamakarios
TPM
40
57
0
05 Jun 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
Jakob Kruse
Gianluca Detommaso
Ullrich Kothe
Robert Scheichl
11
45
0
25 May 2019
Iterative Gaussianization: from ICA to Random Rotations
Valero Laparra
Gustavo Camps-Valls
Jesús Malo
64
125
0
31 Jan 2016
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
230
2,545
0
25 Jan 2016
MCMC using Hamiltonian dynamics
Radford M. Neal
182
3,262
0
09 Jun 2012
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