11 citations · 11 across the 3 of their papers we have counts for
4 papers
Sig-Wasserstein GANs for Time Series Generation
Hao Ni, Lukasz Szpruch, Marc Sabate-Vidales +3
Synthetic data is an emerging technology that can significantly accelerate the development and deployment of AI machine learning pipelines. In this work, we develop high-fidelity t…
Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition
Shujian Liao, Terry Lyons, Weixin Yang +2
This paper contributes to the challenge of skeleton-based human action recognition in videos. The key step is to develop a generic network architecture to extract discriminative fe…
A thorough introduction to non-relativistic matrix mechanics in multi-qudit systems with a study on quantum entanglement and quantum quantifiers
Lucas Camponogara Viera, Shu-Hsien Liao
Quantum computing is among the most far-reaching technologies of the 21st century, tackling challenges at the cutting edge of physics. This new paradigm in computer science harness…
Learning stochastic differential equations using RNN with log signature features
Shujian Liao, Terry Lyons, Weixin Yang +1
This paper contributes to the challenge of learning a function on streamed multimodal data through evaluation. The core of the result of our paper is the combination of two quite d…