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Xueyuan She

2 accepted papers

2022

Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods

ICLR 2022poster

A dynamical system of spiking neurons with only feedforward connections can classify spatiotemporal patterns without recurrent connections. However, the theoretical construct of a feedforward spiking neural network (SNN) for approximating a temporal sequence remains unclear, making it challenging to…

Cited by 32SourcePDFScholar
2018

HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems

CoRL 2018

The robotic systems continuously interact with complex dynamical systems in the physical world. Reliable predictions of spatiotemporal evolution of these dynamical systems, with limited knowledge of system dynamics, are crucial for autonomous operation. In this paper, we present HybridNet, a framewo

Cited by 0SourcePDFScholar