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발표 논문 




1) An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling (2018)




2) Time Series is a Special Sequence : Forecasting with Sample Convolution and Interaction (2021)




발표자 - 이예슬




발표자료 링크 - https://1drv.ms/b/s!AtiR1XA-D_8VgZJbSwgxUENMTAFuQg?e=0Haf1m




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발표 논문 




1) Auto-Encoding Variational Bayes (2014)




2) Memorizing Normality to Detect Anomaly : Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (2019)




발표자 - 노승찬




발표자료 링크 - https://1drv.ms/b/s!AtiR1XA-D_8VgZJQwKTiAx2rRT3DQw?e=Fg1goC