conftrace_

time series

435 papers

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TS

Co-occurring keywords

time series analysis (175) representation learning (6206) gaussian process (1200) bayesian inference (1907) variational inference (2069) causal inference (1630) causal discovery (460) dynamical system (398) time series forecasting (364) recurrent neural network (1790)

Papers

System Identification with Time-Aware Neural Sequence Models AAAI 2020
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare AAAI 2020
Discovering Synchronized Subsets of Sequences: A Large Scale Solution CVPR 2020
Benchmarking Deep Learning Interpretability in Time Series Predictions NIPS 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport NIPS 2020
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations EMNLP 2020
``The Squawk Bot'': Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering IJCAI 2020
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach AAAI 2020
DYNOTEARS: Structure Learning from Time-Series Data AISTATS 2020
Neural Controlled Differential Equations for Irregular Time Series NIPS 2020
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract) AAAI 2020
Day-Ahead Forecasting of Losses in the Distribution Network AAAI 2020
Deep reconstruction of strange attractors from time series NIPS 2020
Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder EMNLP 2020
Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory AAAI 2020
Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing AAAI 2020
Modeling Dynamic Behaviors within Population AAAI 2020
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series AAAI 2020
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction IJCAI 2020
Switching Poisson Gamma Dynamical Systems IJCAI 2020
Spectral Subsampling MCMC for Stationary Time Series ICML 2020
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders ICML 2020
Unsupervised Scalable Representation Learning for Multivariate Time Series NIPS 2019
Temporal Anomaly Detection: Calibrating the Surprise AAAI 2019
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings EMNLP 2019