21 citations · 36 across the 7 of their papers we have counts for
7 papers
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand
Yiwei Fu, Nurali Virani, Honggang Wang
Predicting the demand for electricity with uncertainty helps in planning and operation of the grid to provide reliable supply of power to the consumers. Machine learning (ML)-based…
Masked Multi-Step Multivariate Time Series Forecasting with Future Information
Yiwei Fu, Honggang Wang, Nurali Virani
In this paper, we introduce Masked Multi-Step Multivariate Forecasting (MMMF), a novel and general self-supervised learning framework for time series forecasting with known future…
Multi-Agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP
Yiwei Fu, Dheeraj S. K. Kapilavai, Elliot Way
Factored decentralized Markov decision process (Dec-MDP) is a framework for modeling sequential decision making problems in multi-agent systems. In this paper, we formalize the lea…
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series
Yiwei Fu, Feng Xue
In this paper, we introduce Masked Anomaly Detection (MAD), a general self-supervised learning task for multivariate time series anomaly detection. With the increasing availability…
Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning
Elliot Way, Dheeraj S. K. Kapilavai, Yiwei Fu +1
We introduce Backpropagation Through Time and Space (BPTTS), a method for training a recurrent spatio-temporal neural network, that is used in a homogeneous multi-agent reinforceme…
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems
Yiwei Fu, Samer Saab, Asok Ray +1
This work proposes a novel neural network architecture, called the Dynamically Controlled Recurrent Neural Network (DCRNN), specifically designed to model dynamical systems that ar…