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Pedro Herruzo
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2020 – today
- 2024
- [b1]Pedro Herruzo:
Deep learning for spatio-temporal forecasting: benchmarks, methods, and insights from mobility and weather predictions. Polytechnic University of Catalonia, Spain, 2024 - 2022
- [c9]Pedram Ghamisi, Omid Ghorbanzadeh, Yonghao Xu, Pedro Herruzo, David P. Kreil, Michael Kopp, Sepp Hochreiter:
The Landslide4Sense Competition 2022. CDCEO@IJCAI 2022: 91 - [i4]Christian Eichenberger
, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR abs/2203.17070 (2022) - 2021
- [c8]Pedro Herruzo, Aleksandra Gruca, Llorenç Lliso, Xavier Calbet
High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021. IEEE BigData 2021: 5750-5757 - [c7]Aleksandra Gruca, Pedro Herruzo, Pilar Rípodas
CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. CIKM 2021: 4878-4879 - [c6]Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) 2021: 97-112 - [c5]Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K. Kopp, Sepp Hochreiter, David P. Kreil:
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) 2021: 292-313 - 2020
- [c4]Michael Kopp, David P. Kreil, Moritz Neun, David Jonietz, Henry Martin, Pedro Herruzo, Aleksandra Gruca, Ali Soleymani, Fanyou Wu, Yang Liu, Jingwei Xu, Jianjin Zhang, Jay Santokhi, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Pak Hay Kwok, Qi Qi, Sepp Hochreiter:
Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. NeurIPS (Competition and Demos) 2020: 325-343
2010 – 2019
- 2019
- [c3]Pedro Herruzo, Josep Lluís Larriba-Pey:
Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecasting. NeurIPS (Competition and Demos) 2019: 47-55 - [c2]David P. Kreil, Michael K. Kopp
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. NeurIPS (Competition and Demos) 2019: 232-241 - [i3]Pedro Herruzo, Josep Lluís Larriba-Pey:
Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecasting. CoRR abs/1910.13295 (2019) - 2017
- [c1]Pedro Herruzo, Laura Portell, Alberto Soto, Beatriz Remeseiro
Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns. ICIAP Workshops 2017: 109-119 - [i2]Pedro Herruzo, Laura Portell, Alberto Soto, Beatriz Remeseiro
Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns. CoRR abs/1707.07863 (2017) - 2016
- [i1]Pedro Herruzo, Marc Bolaños, Petia Radeva:
Can a CNN Recognize Catalan Diet? CoRR abs/1607.08811 (2016)
Coauthor Index
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