3 citations · 8 across the 10 of their papers we have counts for
4 papers · 1 filter
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
Fernando Moreno-Pino, Álvaro Arroyo, Harrison Waldon +2
Time-series data in real-world settings typically exhibit long-range dependencies and are observed at non-uniform intervals. In these settings, traditional sequence-based recurrent…
Rough Transformers for Continuous and Efficient Time-Series Modelling
Fernando Moreno-Pino, Álvaro Arroyo, Harrison Waldon +2
Time-series data in real-world medical settings typically exhibit long-range dependencies and are observed at non-uniform intervals. In such contexts, traditional sequence-based re…
Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering
Óscar Jiménez Rama, Fernando Moreno-Pino, David Ramírez +1
The best encoding is the one that is interpretable in nature. In this work, we introduce a novel model that incorporates an interpretable bottleneck-termed the Filter Bank (FB)-at…
Deep Autoregressive Models with Spectral Attention
Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez
Time series forecasting is an important problem across many domains, playing a crucial role in multiple real-world applications. In this paper, we propose a forecasting architectur…