Home / _pages / Kondylatos Spyros* , Nikolaos Ioannis Bountos* , Michail Dimitrios, Zhu Xiao Xiang, Camps-Valls Gustau, Papoutsis Ioannis. “On the Generalization of Representation Uncertainty in Earth Observation.” Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025.Nikolaos Ioannis Bountos* , Maria Sdraka* , Angelos Zavras, Ilektra Karasante, Andreas Karavias, Themistocles Herekakis, Angeliki Thanasou, Dimitrios Michail, Ioannis Papoutsis. “Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping.” Advances in Neural Information Processing Systems 37 (2025): 38105-38121.Nikolaos Ioannis Bountos , Arthur Ouaknine, Ioannis Papoutsis, and David Rolnick. “Fomo: Multi-modal, multi-scale and multi-task remote sensing foundation models for forest monitoring.” Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 39. No. 27. 2025.Wang, Yi, Zhitong Xiong, Chenying Liu, Adam J. Stewart, Thomas Dujardin, Nikolaos Ioannis Bountos , Angelos Zavras, Franziska Gerken, Ioannis Papoutsis, Laura Leal-Taix’e and Xiao Xiang Zhu. “Towards a Unified Copernicus Foundation Model for Earth Vision.” Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025. Spyros Kondylatos, Nikolaos Ioannis Bountos , Ioannis Prapas, Angelos Zavras, Gustau Camps-Valls, Ioannis Papoutsis. “Probabilistic Machine Learning for Noisy Labels in Earth Observation.” arXiv preprint arXiv:2504.03478 (2025). Papadopoulos, Nikolas, Nikolaos Ioannis Bountos , Maria Sdraka, Andreas Karavias and Ioannis Papoutsis. “Hephaestus Minicubes: A Global, Multi-Modal Dataset for Volcanic Unrest Monitoring.” (2025). Michail, D., Davalas, C., Panagiotou, L. I., Prapas, I., Kondylatos, S., Bountos, N. I. , & Papoutsis, I. (2025). FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction. arXiv preprint arXiv:2502.01550. Michail, D., Panagiotou, L. I., Davalas, C., Prapas, I., Kondylatos, S., Bountos, N. I. , & Papoutsis, I. (2024). Seasonal fire prediction using spatio-temporal deep neural networks. arXiv preprint arXiv:2404.06437. Papoutsis, Ioannis, Bountos Nikolaos Ioannis , Zavras Angelos, Michail Dimitrios, Tryfonopoulos Christos. “Benchmarking and scaling of deep learning models for land cover image classification.” ISPRS Journal of Photogrammetry and Remote Sensing 195 (2023): 250-268. Prapas, Ioannis, 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. Nikolaos Ioannis Bountos , Dimitrios Michail, and Ioannis Papoutsis. “Learning from Synthetic InSAR with Vision Transformers: The case of volcanic unrest detection.” IEEE Transactions on Geoscience and Remote Sensing (2022).Bountos, Nikolaos Ioannis , Papoutsis, I., Michail, D., Karavias, A., Elias, P., & Parcharidis, I. (2022). “Hephaestus: A large scale multitask dataset towards InSAR understanding.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 2022.Nikolaos Ioannis Bountos , Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai. “Self-supervised contrastive learning for volcanic unrest detection.” IEEE Geoscience and Remote Sensing Letters 19 (2021): 1-5.