Woo Seok Lee

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation 2014 Kyunghyun Cho
Bart van Merriënboer
Çaǧlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
2
+ PDF Chat Emergence of Scaling in Random Networks 1999 Albert‐László Barabási
Réka Albert
1
+ PDF Chat Scale-Free Brain Functional Networks 2005 Vı́ctor M. Eguı́luz
Dante R. Chialvo
Guillermo Cecchi
Marwan N. Baliki
A. Vania Apkarian
1
+ PDF Chat Deep learning in neural networks: An overview 2014 Jürgen Schmidhuber
1
+ Sparse inverse covariance estimation with the graphical lasso 2007 Jerome H. Friedman
Trevor Hastie
R. Tibshirani
1
+ PDF Chat Universal and Nonuniversal Properties of Cross Correlations in Financial Time Series 1999 Vasiliki Plerou
Parameswaran Gopikrishnan
Bernd Rosenow
Luı́s A. Nunes Amaral
H. Eugene Stanley
1
+ A guide to convolution arithmetic for deep learning 2016 Vincent Dumoulin
Francesco Visin
1
+ PDF Chat Solving the quantum many-body problem with artificial neural networks 2017 Giuseppe Carleo
Matthias Troyer
1
+ PDF Chat Data-driven discovery of partial differential equations 2017 Samuel Rudy
Steven L. Brunton
Joshua L. Proctor
J. Nathan Kutz
1
+ PDF Chat Approximating quantum many-body wave functions using artificial neural networks 2018 Zi Cai
Jinguo Liu
1
+ PDF Chat A Local Counter-Regulatory Motif Modulates the Global Phase of Hormonal Oscillations 2017 Dong‐Ho Park
Taegeun Song
Danh-Tai Hoang
Jin Xu
Junghyo Jo
1
+ PDF Chat A Study and Comparison of Human and Deep Learning Recognition Performance under Visual Distortions 2017 Samuel Dodge
Lina J. Karam
1
+ PDF Chat From correlation to causation: Estimating effective connectivity from zero-lag covariances of brain signals 2018 Jonathan Schiefer
Alexander Niederbühl
Volker Pernice
Carolin Lennartz
Jürgen Hennig
Pierre LeVan
Stefan Rotter
1
+ Hidden physics models: Machine learning of nonlinear partial differential equations 2017 Maziar Raissi
George Em Karniadakis
1
+ Solving high-dimensional partial differential equations using deep learning 2018 Jiequn Han
Arnulf Jentzen
E Weinan
1
+ PDF Chat Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network 2020 A. Sherstinsky
1
+ Deep learning for time series classification: a review 2019 Hassan Ismail Fawaz
Germain Forestier
Jonathan Weber
Lhassane Idoumghar
Pierre-Alain Müller
1
+ PDF Chat Skyrmions in the Moiré of van der Waals 2D Magnets 2018 Qingjun Tong
Fei Liu
Jiang Xiao
Yao Wang
1
+ PDF Chat Application of machine learning to two-dimensional Dzyaloshinskii-Moriya ferromagnets 2019 Vinit Kumar Singh
Jung Hoon Han
1
+ PDF Chat Characteristic times in the standard map 2019 M. Harsoula
Κώστας Καραμάνος
G. Contopoulos
1
+ Gaussian Error Linear Units (GELUs) 2016 Dan Hendrycks
Kevin Gimpel
1
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
1
+ PDF Chat Machine learning dynamical phase transitions in complex networks 2019 Qi Ni
Ming Tang
Ying Liu
Ying‐Cheng Lai
1
+ Machine Learning for Precipitation Nowcasting from Radar Images 2019 Carla Bromberg
Cenk Gazen
Jason Hickey
John Burge
Luke Barrington
Shreya Agrawal
1
+ PDF Chat Synchronization of active rotators interacting with environment 2020 Taegeun Song
Heetae Kim
Seung‐Woo Son
Junghyo Jo
1
+ PDF Chat Machine learning for the diagnosis of early-stage diabetes using temporal glucose profiles 2021 Woo Seok Lee
Junghyo Jo
Taegeun Song
1
+ PDF Chat <i>Ab initio</i> solution of the many-electron Schrödinger equation with deep neural networks 2020 David Pfau
James S. Spencer
Alexander Matthews
W. M. C. Foulkes
1
+ PDF Chat BETA: A Large Benchmark Database Toward SSVEP-BCI Application 2020 Bingchuan Liu
Xiaoshan Huang
Yijun Wang
Xiaogang Chen
Xiaorong Gao
1
+ PDF Chat Skyrmions in twisted van der Waals magnets 2021 Muhammad Akram
Onur Erten
1
+ PDF Chat Deep learning of chaos classification 2020 Woo Seok Lee
Sergej Flach
1
+ PDF Chat A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction 2020 Takanori Fujiwara
Shilpika
Naohisa Sakamoto
Jorji Nonaka
Keiji Yamamoto
Kwan‐Liu Ma
1
+ Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network 2020 Woo Seok Lee
Hyunjae Kim
A. N. Cleland
Kang-Hun Ahn
1
+ PDF Chat From brain to earth and climate systems: Small-world interaction networks or not? 2010 Stephan Bialonski
Marie‐Therese Horstmann
Klaus Lehnertz
1
+ PDF Chat Identification of chimera using machine learning 2020 M. A. Ganaie
Saptarshi Ghosh
Naveen Kumar Mendola
M. Tanveer
Sarika Jalan
1
+ PDF Chat Human Activity Recognition with Convolutional Neural Networks 2019 Antonio Bevilacqua
Kyle MacDonald
Aamina Rangarej
Venessa Widjaya
Brian Caulfield
Tahar Kechadi
1
+ PDF Chat Topological Spin Excitations in Honeycomb Ferromagnet <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>CrI</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> 2018 Lebing Chen
Jae-Ho Chung
Bin Gao
Tong Chen
M. B. Stone
А. И. Колесников
Q. Huang
Pengcheng Dai
1
+ PDF Chat FitzHugh–Nagumo oscillators on complex networks mimic epileptic-seizure-related synchronization phenomena 2020 Moritz Gerster
Rico Berner
Jakub Sawicki
Anna Zakharova
Antonín Škoch
Jaroslav Hlinka
Klaus Lehnertz
Eckehard Schöll
1
+ PDF Chat Magnetization textures in twisted bilayer <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>Cr</mml:mi><mml:msub><mml:mi mathvariant="normal">X</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:math> ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi mathvariant="normal">X</mml:mi></mml:math> =Br, I) 2021 Feiping Xiao
Ke‐Qiu Chen
Qingjun Tong
1
+ PDF Chat Hierarchy of multi-order skyrmion phases in twisted magnetic bilayers 2021 Sujay Ray
Tanmoy Das
1
+ Heterobilayer moiré magnets: Moiré skyrmions and commensurate-incommensurate transitions 2021 Kasra Hejazi
Zhu-Xi Luo
Leon Balents
1
+ PDF Chat Moiré Skyrmions and Chiral Magnetic Phases in Twisted CrX<sub>3</sub> (X = I, Br, and Cl) Bilayers 2021 Muhammad Akram
Harrison LaBollita
Dibyendu Dey
Jesse Kapeghian
Onur Erten
Antía S. Botana
1
+ PDF Chat Deep physical neural networks trained with backpropagation 2022 Logan G. Wright
Tatsuhiro Onodera
Martin M. Stein
Tianyu Wang
Darren T. Schachter
Zoey Hu
Peter L. McMahon
1
+ PDF Chat Twist engineering of the two-dimensional magnetism in double bilayer chromium triiodide homostructures 2021 Hongchao Xie
Xiangpeng Luo
Gaihua Ye
Zhipeng Ye
Haiwen Ge
Suk Hyun Sung
Emily Rennich
Shaohua Yan
Fu Yang
Shangjie Tian
1
+ PDF Chat Whirling interlayer fields as a source of stable topological order in moiré CrI3 2022 Doried Ghader
Bilal Jabakhanji
Alessandro Stroppa
1
+ PDF Chat Magnetic Skyrmion Lattices in a Novel 2D‐Twisted Bilayer Magnet 2022 Fawei Zheng
1
+ PDF Chat Moiré-driven multiferroic order in twisted CrCl<sub>3</sub>, CrBr<sub>3</sub> and CrI<sub>3</sub> bilayers 2023 Adolfo O. Fumega
José L. Lado
1
+ PDF Chat Moiré magnetic exchange interactions in twisted magnets 2023 Baishun Yang
Yang Li
Hongjun Xiang
Hai‐Qing Lin
Bing Huang
1
+ PDF Chat Evidence of non-collinear spin texture in magnetic moiré superlattices 2023 Hongchao Xie
Xiangpeng Luo
Zhipeng Ye
Zeliang Sun
Gaihua Ye
Suk Hyun Sung
Haiwen Ge
Shaohua Yan
Fu Yang
Shangjie Tian
1
+ PDF Chat Estimation of correlation matrices from limited time series data using machine learning 2023 Nikhil Easaw
Woo Seok Lee
Prashant Singh Lohiya
Sarika Jalan
Priodyuti Pradhan
1
+ PDF Chat Electrically tunable moiré magnetism in twisted double bilayers of chromium triiodide 2023 Guanghui Cheng
Mohammad Mushfiqur Rahman
Andres Llacsahuanga Allcca
Avinash Rustagi
Xingtao Liu
Lina Liu
Lei Fu
Yanglin Zhu
Zhiqiang Mao
Kenji Watanabe
1