Publications

• Spyros Kondylatos, Nikolaos Ioannis Bountos, Dimitrios Michail, Xiao Xiang Zhu, Gustau Camps-Valls, and Ioannis Papoutsis.
  On the Generalization of Representation Uncertainty in Earth Observation
  Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
  paper

• Nikolaos Anastasiou, Spyros Kondylatos, and Ioannis Papoutsis.
  Wildfire Spread Forecasting with Deep Learning
  arXiv preprint, 2025.
  paper

• Spyros Kondylatos, Nikolaos Ioannis Bountos, Ioannis Prapas, Angelos Zavras, Gustau Camps-Valls, and Ioannis Papoutsis.
  Probabilistic Machine Learning for Noisy Labels in Earth Observation
  arXiv preprint, 2025.
  paper

• Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, and Tristan Williams.
  Artificial intelligence for modeling and understanding extreme weather and climate events
  Nature Communications 16, 1919, 2025.
  paper

• Spyros Kondylatos, Ioannis Prapas, Gustau Camps-Valls, and Ioannis Papoutsis.
  Mesogeos: A Multi-Purpose Dataset for Data-Driven Wildfire Modeling in the Mediterranean
  Advances in Neural Information Processing Systems 36 (NeurIPS), 2023.
  paper

• Ioannis Prapas, Nikolaos Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, and Ioannis Papoutsis.
  Televit: Teleconnection-driven transformers improve subseasonal to seasonal wildfire forecasting
  Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023.
  paper

• Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos, Ilektra Karasante, Eleanna Panagiotou, Lazaro Alonso, Charalampos Davalas, Dimitris Michail, Nuno Carvalhais, and Ioannis Papoutsis.
  Deep Learning for Global Wildfire Forecasting
  Tackling Climate Change with Machine Learning Workshop, NeurIPS, 2022.
  paper

• Spyros Kondylatos, Ioannis Prapas, Michele Ronco, Ioannis Papoutsis, Gustau Camps-Valls, Maria Piles, Miguel-Ángel Fernández-Torres, and Nuno Carvalhais.
  Wildfire Danger Prediction and Understanding With Deep Learning
  Geophysical Research Letters, 49(17), 2022.
  paper

• Ioannis Prapas, Spyros Kondylatos, Michele Ronco, Ioannis Papoutsis, Gustau Camps-Valls, Maria Piles, Miguel-Ángel Fernández-Torres, and Nuno Carvalhais.
  Deep Learning Methods for Daily Wildfire Danger Forecasting
  Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, NeurIPS, 2021.
  paper