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1906.02691
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An Introduction to Variational Autoencoders
6 June 2019
Diederik P. Kingma
Max Welling
BDL
SSL
DRL
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Papers citing
"An Introduction to Variational Autoencoders"
50 / 838 papers shown
Title
Population synthesis for urban resident modeling using deep generative models
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Ahmet E. Tekden
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Data--driven Image Restoration with Option--driven Learning for Big and Small Astronomical Image Datasets
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GAN
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H. Delingette
N. Ayache
Tommaso Mansi
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03 Nov 2020
The ELBO of Variational Autoencoders Converges to a Sum of Three Entropies
Simon Damm
D. Forster
Dmytro Velychko
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69
5
0
28 Oct 2020
Improving seasonal forecast using probabilistic deep learning
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Wavelet Flow: Fast Training of High Resolution Normalizing Flows
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Konstantinos G. Derpanis
Marcus A. Brubaker
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166
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0
26 Oct 2020
Scalable Gaussian Process Variational Autoencoders
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Matthew Ashman
Vincent Fortuin
Michael Pearce
Stephan Mandt
Gunnar Rätsch
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89
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0
26 Oct 2020
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate
Ruangrawee Kitichotkul
Christopher A. Metzler
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Gordon Wetzstein
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0
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Two-sample Test using Projected Wasserstein Distance
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Rui Gao
Yao Xie
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0
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Principled Interpolation in Normalizing Flows
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Ricardo da S. Torres
Ulf Brefeld
146
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Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model
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C. Wloka
Ali Etemad
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32
0
20 Oct 2020
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O. Pastor-Serrano
D. Lathouwers
Zoltán Perkó
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AI4TS
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Variational Capsule Encoder
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Syed Muhammad Anwar
Ulas Bagci
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Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures
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0
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13 Oct 2020
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
G. Felhi
Joseph Leroux
Djamé Seddah
BDL
56
1
0
13 Oct 2020
PAST-AI: Physical-layer Authentication of Satellite Transmitters via Deep Learning
Gabriele Oligeri
Simone Raponi
Savio Sciancalepore
Roberto Di Pietro
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0
12 Oct 2020
Generating Gameplay-Relevant Art Assets with Transfer Learning
Adrián González-Casillas
Matthew J. Guzdial
Félix Ramos
43
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0
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A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
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Marius Kloft
Thomas G. Dietterich
Klaus-Robert Muller
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0
24 Sep 2020
A Variational Auto-Encoder for Reservoir Monitoring
K. Gundersen
S. Hosseini
A. Oleynik
G. Alendal
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1
0
23 Sep 2020
Review: Deep Learning in Electron Microscopy
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197
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0
17 Sep 2020
That looks interesting! Personalizing Communication and Segmentation with Random Forest Node Embeddings
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Stefano Bromuri
114
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MeLIME: Meaningful Local Explanation for Machine Learning Models
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Frederik Hvilshoj
Rafael Izbicki
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Stabilizing Invertible Neural Networks Using Mixture Models
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Deep Learning for the Analysis of Disruption Precursors based on Plasma Tomography
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C. Sozzi
P. Lomas
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13
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F. Waldner
P. Caccetta
121
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DCTRGAN: Improving the Precision of Generative Models with Reweighting
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E. Eren
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A. Korol
Benjamin Nachman
David Shih
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03 Sep 2020
Dynamical Variational Autoencoders: A Comprehensive Review
Laurent Girin
Simon Leglaive
Xiaoyu Bie
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143
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28 Aug 2020
Generative chemistry: drug discovery with deep learning generative models
Yuemin Bian
X. Xie
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128
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Bayesian neural networks and dimensionality reduction
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Theodore Papamarkou
David B. Dunson
BDL
61
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GANplifying Event Samples
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78
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0
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Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
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H. Haned
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Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Xuan Li
Xun Huang
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Arun Mallya
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0
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Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
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Neural Language Generation: Formulation, Methods, and Evaluation
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Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
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Katsuhiko Ishiguro
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0
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Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations
K. Gundersen
A. Oleynik
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Deep Learning in Protein Structural Modeling and Design
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S. Mahajan
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Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
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0
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Fisher Auto-Encoders
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Jie Ding
Sina Farsiu
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Estimating Stochastic Poisson Intensities Using Deep Latent Models
Ruixin Wang
Prateek Jaiswal
Harsha Honnappa
8
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0
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Self-Reflective Variational Autoencoder
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52
0
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Point Set Voting for Partial Point Cloud Analysis
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Weijia Chen
Yuping Wang
Ram Vasudevan
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72
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0
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SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
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Emiel Hoogeboom
Ole Winther
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84
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Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
Miguel de Prado
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Alessandro Capotondi
Serge Monnerat
Luca Benini and
Nuria Pazos
97
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0
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Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study
Alejandro Ungría Hirte
Moritz Platscher
T. Joyce
J. Heit
E. Tranvinh
C. Federau
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Locally Masked Convolution for Autoregressive Models
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Deepak Pathak
DiffM
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120
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A Data-driven Market Simulator for Small Data Environments
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Blanka Horvath
Terry Lyons
Imanol Perez Arribas
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