Shedding Light on Variational Autoencoders

被引：1

作者：

Ruiz Vargas, J. C. ^{[1
]}

Novaes, S. F. ^{[1
]}

Cobe, R. ^{[1
]}

Iope, R. ^{[1
]}

Stanzani, S. ^{[1
]}

Tomei, T. R. ^{[1
]}

机构：

[1] Sao Paulo State Univ Unesp, Ctr Sci Comp NCC, Sao Paulo, SP, Brazil

来源：

2018 XLIV LATIN AMERICAN COMPUTER CONFERENCE (CLEI 2018) | 2018年

基金：

巴西圣保罗研究基金会;

关键词：

Variational Autoencoders; Machine Learning; Tensorflow; Fresnel diffraction;

D O I：

10.1109/CLEI.2018.00043

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Deep neural networks provide the canvas to create models of millions of parameters to fit distributions involving an equally large number of random variables. The contribution of this study is twofold. First, we introduce a diffraction dataset containing computer-based simulations of a Young's interference experiment. Then, we demonstrate the adeptness of variational autoencoders to learn diffraction patterns and extract a latent feature that correlates with the physical wavelength.

引用

页码：294 / 298

页数：5

共 50 条

[41] Energy disaggregation using variational autoencoders
Langevin, Antoine
Carbonneau, Marc-Andre
Cheriet, Mohamed
Gagnon, Ghyslain
ENERGY AND BUILDINGS, 2022, 254
[42] Predictive Coding with Topographic Variational Autoencoders
Keller, T. Anderson
Welling, Max
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021), 2021, : 1086 - 1091
[43] Sequential Variational Autoencoders for Collaborative Filtering
Sachdeva, Noveen
Manco, Giuseppe
Ritacco, Ettore
Pudi, Vikram
PROCEEDINGS OF THE TWELFTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'19), 2019, : 600 - 608
[44] Variational Autoencoders for Polyphonic Music Interpolation
Dieguez, Pablo Lopez
Soo, Von-Wun
2020 25TH INTERNATIONAL CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI 2020), 2020, : 56 - 61
[45] New Methods for Explainable Variational Autoencoders
White, Riley
Baracat-Donovan, Brian
Helmsen, John
McCullough, Thomas
ARTIFICIAL INTELLIGENCE FOR SECURITY AND DEFENCE APPLICATIONS, 2023, 12742
[46] Scalable Graph Convolutional Variational Autoencoders
Unyi, Daniel
Gyires-Toth, Balint
IEEE 15TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI 2021), 2021, : 467 - 472
[47] Variational Autoencoders for Baseball Player Evaluation
Converse, Geoffrey
Arnold, Brooke
Curi, Mariana
Oliveira, Suely
FUZZY SYSTEMS AND DATA MINING V (FSDM 2019), 2019, 320 : 305 - 311
[48] Comment: Variational Autoencoders as Empirical Bayes
Wang, Yixin
Miller, Andrew C.
Blei, David M.
STATISTICAL SCIENCE, 2019, 34 (02) : 229 - 233
[49] Visualizing population structure with variational autoencoders
Battey, C. J.
Coffing, Gabrielle C.
Kern, Andrew D.
G3-GENES GENOMES GENETICS, 2021, 11 (01):
[50] HIERARCHICAL VARIATIONAL AUTOENCODERS FOR VISUAL COUNTERFACTUALS
Vercheval, Nicolas
Pizurica, Aleksandra
2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2021, : 2513 - 2517

← 1 2 3 4 5 →