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AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders
v1v2v3v4v5 (latest)

AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders

24 November 2020
A. Glushkovsky
    DRL
ArXiv (abs)PDFHTML

Papers citing "AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders"

17 / 17 papers shown
Alternatives of Unsupervised Representations of Variables on the Latent
  Space
Alternatives of Unsupervised Representations of Variables on the Latent Space
Alex Glushkovsky
SSLBDLDRL
272
0
0
26 Oct 2024
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
Phai Vu Dinh
Nguyen Quang Uy
D. Hoang
Diep N. Nguyen
Son Pham Bao
E. Dutkiewicz
AAML
338
2
0
22 Mar 2024
Learning Discrete Structured Variational Auto-Encoder using Natural
  Evolution Strategies
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution StrategiesInternational Conference on Learning Representations (ICLR), 2022
Alon Berliner
Guy Rotman
Yossi Adi
Roi Reichart
Tamir Hazan
BDLDRL
229
5
0
03 May 2022
Designing Complex Experiments by Applying Unsupervised Machine Learning
Designing Complex Experiments by Applying Unsupervised Machine Learning
A. Glushkovsky
247
1
0
29 Sep 2021
Physics-Constrained Predictive Molecular Latent Space Discovery with
  Graph Scattering Variational Autoencoder
Physics-Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational Autoencoder
Navid Shervani-Tabar
N. Zabaras
BDLDRL
343
5
0
29 Sep 2020
AI Giving Back to Statistics? Discovery of the Coordinate System of
  Univariate Distributions by Beta Variational Autoencoder
AI Giving Back to Statistics? Discovery of the Coordinate System of Univariate Distributions by Beta Variational Autoencoder
A. Glushkovsky
DRL
171
3
0
06 Apr 2020
Recreation of the Periodic Table with an Unsupervised Machine Learning
  Algorithm
Recreation of the Periodic Table with an Unsupervised Machine Learning AlgorithmScientific Reports (Sci Rep), 2019
Minoru Kusaba
Chang Liu
Y. Koyama
K. Terakura
Ryo Yoshida
142
10
0
23 Dec 2019
Deep learning for molecular design - a review of the state of the art
Deep learning for molecular design - a review of the state of the art
Daniel C. Elton
Zois Boukouvalas
M. Fuge
Peter W. Chung
AI4CE3DV
358
349
0
11 Mar 2019
Learning Disentangled Joint Continuous and Discrete Representations
Learning Disentangled Joint Continuous and Discrete Representations
Emilien Dupont
DRL
596
271
0
31 Mar 2018
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
1.2K
6,187
0
03 Nov 2016
Discrete Variational Autoencoders
Discrete Variational Autoencoders
J. Rolfe
BDLDRL
562
283
0
07 Sep 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
779
4,483
0
12 Jun 2016
A guide to convolution arithmetic for deep learning
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt3DHHAI
417
1,669
0
23 Mar 2016
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
665
2,357
0
18 Nov 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational BayesInternational Conference on Learning Representations (ICLR), 2013
Diederik P. Kingma
Max Welling
BDL
1.7K
17,024
0
20 Dec 2013
Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
1.0K
3,786
0
15 Aug 2013
Deep Learning of Representations: Looking Forward
Deep Learning of Representations: Looking ForwardInternational Conference on Statistical Language and Speech Processing (ICSLSP), 2013
Yoshua Bengio
638
712
0
02 May 2013
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