Fernando Moreno-Pino

According to our database, Fernando Moreno-Pino authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Nano World Models: A Minimalist Implementation of Future Video Prediction.

Siqiao Huang, Partha Kaushik, Michael Chen, Hengkai Pan, Kaiwen Geng, Omar Chehab, Fernando Moreno-Pino, Max Simchowitz

CoRR, May, 2026

2024

Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures.

Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea

CoRR, 2024

Rough Transformers for Continuous and Efficient Time-Series Modelling.

Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea

CoRR, 2024

Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching.

Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Deep autoregressive models with spectral attention.

Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez

Pattern Recognit., 2023

Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering.

Óscar Jiménez Rama, Fernando Moreno-Pino, David Ramírez, Pablo M. Olmos

CoRR, 2023

Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data.

María Martínez-García, Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez

CoRR, 2023

2022

Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data.

Fernando Moreno-Pino, María Martínez-García, Pablo M. Olmos, Antonio Artés-Rodríguez

CoRR, 2022

DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions.

Fernando Moreno-Pino, Stefan Zohren

CoRR, 2022

PyHHMM: A Python Library for Heterogeneous Hidden Markov Models.

Fernando Moreno-Pino, Emese Sükei, Pablo M. Olmos, Antonio Artés-Rodríguez

CoRR, 2022

2020

Hidden Markov Models for Activity Detection in Atrial Fibrillation Electrograms.

Gonzalo R. Ríos-Muñoz, Fernando Moreno-Pino, Nina Soto, Pablo M. Olmos, Antonio Artés-Rodríguez, Francisco Fernandez-Aviles, Angel Arenal

Proceedings of the Computing in Cardiology, 2020