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Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.

C. Eichenberger, M. Neun, H. Martin, P. Herruzo, M. Spanring, Y. Lu, S. Choi, V. Konyakhin, N. Lukashina, A. Shpilman, N. Wiedemann, M. Raubal, B. Wang, H. Vu, R. Mohajerpoor, C. Cai, I. Kim, L. Hermes, A. Melnik, R. Velioglu, M. Vieth, M. Schilling, A. Bojesomo, H. Al-Marzouqi, P. Liatsis, J. Santokhi, D. Hillier, Y. Yang, J. Sarwar, A. Jordan, E. Hewage, D. Jonietz, F. Tang, A. Gruca, M. Kopp, D. Kreil, and S. Hochreiter. NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 97-112. PMLR, (2021)

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Benno Pedrotti

Mario Pedroso

Luicy Pedroza Espinoza

Claudia Pedroni

Francisco Pedrosa Gil

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The Landslide4Sense Competition 2022.P. Ghamisi, O. Ghorbanzadeh, Y. Xu, P. Herruzo, D. Kreil, M. Kopp, and S. Hochreiter. CDCEO@IJCAI, volume 3207 of CEUR Workshop Proceedings, page 91. CEUR-WS.org, (2022)Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.M. Kopp, D. Kreil, M. Neun, D. Jonietz, H. Martin, P. Herruzo, A. Gruca, A. Soleymani, F. Wu, Y. Liu and 9 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 325-343. PMLR, (2020)Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.C. Eichenberger, M. Neun, H. Martin, P. Herruzo, M. Spanring, Y. Lu, S. Choi, V. Konyakhin, N. Lukashina, A. Shpilman and 27 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 97-112. PMLR, (2021)CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation.A. Gruca, P. Herruzo, P. Rípodas, A. Kucik, C. Briese, M. Kopp, S. Hochreiter, P. Ghamisi, and D. Kreil. CIKM, page 4878-4879. ACM, (2021)The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019.D. Kreil, M. Kopp, D. Jonietz, M. Neun, A. Gruca, P. Herruzo, H. Martin, A. Soleymani, and S. Hochreiter. NeurIPS (Competition and Demos), volume 123 of Proceedings of Machine Learning Research, page 232-241. PMLR, (2019)High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021.P. Herruzo, A. Gruca, L. Lliso, X. Calbet, P. Rípodas, S. Hochreiter, M. Kopp, and D. Kreil. IEEE BigData, page 5750-5757. IEEE, (2021)Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.A. Gruca, F. Serva, L. Lliso, P. Rípodas, X. Calbet, P. Herruzo, J. Pihrt, R. Raevskiy, P. Simánek, M. Choma and 27 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 292-313. PMLR, (2021)Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecasting.P. Herruzo, and J. Larriba-Pey. NeurIPS (Competition and Demos), volume 123 of Proceedings of Machine Learning Research, page 47-55. PMLR, (2019)Deep learning for spatio-temporal forecasting: benchmarks, methods, and insights from mobility and weather predictionsP. Herruzo. Polytechnic University of Catalonia, Spain, (2024)Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns.P. Herruzo, L. Portell, A. Soto, and B. Remeseiro. ICIAP Workshops, volume 10590 of Lecture Notes in Computer Science, page 109-119. Springer, (2017)

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Disambiguation of "Herruzo, Pedro"

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Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.

Please choose a person to relate this publication to

Benno Pedrotti

Mario Pedroso

Luicy Pedroza Espinoza

Claudia Pedroni

Francisco Pedrosa Gil

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Herruzo, Pedro"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.

Please choose a person to relate this publication to

Benno Pedrotti

Mario Pedroso

Luicy Pedroza Espinoza

Claudia Pedroni

Francisco Pedrosa Gil

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.