Can a CNN Recognize Catalan Diet? - Pedro Herruzo; Marc Bolaños; Petia Radeva (CoRR, 2016)

Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns. - Pedro Herruzo; Laura Portell; Alberto Soto; Beatriz Remeseiro (ICIAP Workshops, 2017)

Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecasting. - Pedro Herruzo; Josep Lluís Larriba-Pey (NeurIPS (Competition and Demos), 2019)

The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. - David P. Kreil; Michael K. Kopp 001; David Jonietz; Moritz Neun; Aleksandra Gruca; Pedro Herruzo; Henry Martin; Ali Soleymani; Sepp Hochreiter (NeurIPS (Competition and Demos), 2019)

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. - Michael Kopp 001; David P. Kreil; Moritz Neun; David Jonietz; Henry Martin; Pedro Herruzo; Aleksandra Gruca; Ali Soleymani; Fanyou Wu; Yang Liu 253; Jingwei Xu; Jianjin Zhang; et al. (NeurIPS (Competition and Demos), 2020)

High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021. - Pedro Herruzo; Aleksandra Gruca; Llorenç Lliso; Xavier Calbet; Pilar Rípodas; Sepp Hochreiter; Michael Kopp 001; David P. Kreil (IEEE BigData, 2021)

CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. - Aleksandra Gruca; Pedro Herruzo; Pilar Rípodas; Andrzej Kucik; Christian Briese; Michael K. Kopp 001; Sepp Hochreiter; Pedram Ghamisi; David P. Kreil (CIKM, 2021)

Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. - Christian Eichenberger; Moritz Neun; Henry Martin; Pedro Herruzo; Markus Spanring; Yichao Lu; Sungbin Choi; Vsevolod Konyakhin; Nina Lukashina; Aleksei Shpilman; Nina Wiedemann; Martin Raubal; et al. (NeurIPS (Competition and Demos), 2021)

Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. - Aleksandra Gruca; Federico Serva; Llorenç Lliso; Pilar Rípodas; Xavier Calbet; Pedro Herruzo; Jirí Pihrt; Rudolf Raevskiy; Petr Simánek; Matej Choma; Yang Li; Haiyu Dong; et al. (NeurIPS (Competition and Demos), 2021)

The Landslide4Sense Competition 2022. - Pedram Ghamisi; Omid Ghorbanzadeh; Yonghao Xu; Pedro Herruzo; David P. Kreil; Michael Kopp 001; Sepp Hochreiter (CDCEO@IJCAI, 2022)

Deep learning for spatio-temporal forecasting: benchmarks, methods, and insights from mobility and weather predictions - Pedro Herruzo (2024)