4 citations · 7 across the 6 of their papers we have counts for
3 papers · 1 filter
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting
Yuansan Liu, Sudanthi Wijewickrema, Dongting Hu +3
Recent innovations in diffusion probabilistic models have paved the way for significant progress in image, text and audio generation, leading to their applications in generative ti…
Bidirectional Adversarial Autoencoders for the design of Plasmonic Metasurfaces
Yuansan Liu, Jeygopi Panisilvam, Peter Dower +2
Deep Learning has been a critical part of designing inverse design methods that are computationally efficient and accurate. An example of this is the design of photonic metasurface…
Time Series Representation Learning with Supervised Contrastive Temporal Transformer
Yuansan Liu, Sudanthi Wijewickrema, Christofer Bester +2
Finding effective representations for time series data is a useful but challenging task. Several works utilize self-supervised or unsupervised learning methods to address this. How…