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03/14/2022
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions
We consider a sequence of related multivariate time series learning task...
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02/25/2022
Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression
We consider learning a trading agent acting on behalf of the treasury of...
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02/11/2022
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs
In electricity markets, retailers or brokers want to maximize profits by...
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02/10/2021
Systematic Generalization for Predictive Control in Multivariate Time Series
Prior work has focused on evaluating the ability of neural networks to r...
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12/16/2020
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation
Most of the existing deep reinforcement learning (RL) approaches for ses...
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07/01/2020
Handling Variable-Dimensional Time Series with Graph Neural Networks
Several applications of Internet of Things(IoT) technology involve captu...
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06/30/2020
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation
Automated equipment health monitoring from streaming multisensor time-se...
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09/13/2019
Meta-Learning for Few-Shot Time Series Classification
Deep neural networks (DNNs) have achieved state-of-the-art results on ti...
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09/10/2019
NISER: Normalized Item and Session Representations with Graph Neural Networks
The goal of session-based recommendation (SR) models is to utilize the i...
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07/16/2019
Meta-Learning for Black-box Optimization
Recently, neural networks trained as optimizers under the "learning to l...
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04/29/2019
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification
Training deep neural networks often requires careful hyper-parameter tun...
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04/01/2019
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks
Deep neural networks have shown promising results for various clinical p...
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03/23/2019
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models
Prognostics or Remaining Useful Life (RUL) Estimation from multi-sensor ...
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07/04/2018
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks
Deep neural networks have shown promising results for various clinical p...
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07/01/2016
