Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Kernel sparse representation for time series classification
Similarity Preserving Representation Learning for Time Series Analysis
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
Learning a symbolic representation for multivariate time series classification
Temporal Difference Variational Auto-Encoder
Deep Multimodal Representation Learning from Temporal Data
A review of unsupervised feature learning and deep learning for time-series modeling
Data-Efficient Temporal Regression with MultiTask Recurrent Neural Networks
Grouped Convolutional Neural Networks for Multivariate Time Series
Model-Coupled Autoencoder for Time Series Visualisation
Anomaly detection from multivariate time-series with sparse representation
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization
Deep Kernelized Autoencoders
Deep Convolutional Factor Analyser for Multivariate Time Series Modeling
Model-based kernel for efficient time series analysis
Deep learning for anomaly detectionin multivariate time series data
A deep learning framework for financial time series using stacked autoencoders and long-short term memory
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
Deep Learning for Time-Series Analysis
A Survey of Secure Data Deduplication Schemes for Cloud Storage Systems
The validity of animal models of depression
Severe Pulmonary Interstitial Emphysema in a Premature Baby
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data
A Generalized Representer Theorem