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Time Series

36 directly classified papers

Papers per year

Papers

Time-series Generative Adversarial Networks NIPS 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting NIPS 2019
Infinite-Horizon Gaussian Processes NIPS 2018
Safe Active Learning for Time-Series Modeling with Gaussian Processes NIPS 2018
Deep Poisson gamma dynamical systems NIPS 2018
Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects EMNLP 2018
Correcting Forecasts with Multifactor Neural Attention ICML 2016
Bayesian Intermittent Demand Forecasting for Large Inventories NIPS 2016
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NIPS 2012
A Model for Temporal Dependencies in Event Streams NIPS 2011
Non-stationary continuous dynamic Bayesian networks NIPS 2009