21 citations · 36 across the 7 of their papers we have counts for
4 papers · 1 filter
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…