Camps-Valls, Gustau

11 publications

CVPR 2025 A Flag Decomposition for Hierarchical Datasets Nathan Mankovich, Ignacio Santamaria, Gustau Camps-Valls, Tolga Birdal

UAI 2025 Learning Causal Response Representations Through Direct Effect Analysis Homer Durand, Gherardo Varando, Gustau Camps-Valls

ICCV 2025 On the Generalization of Representation Uncertainty in Earth Observation Spyros Kondylatos, Nikolaos Ioannis Bountos, Dimitrios Michail, Xiao Xiang Zhu, Gustau Camps-Valls, Ioannis Papoutsis

AISTATS 2025 Out-of-Distribution Robustness for Multivariate Analysis via Causal Regularisation Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau Camps-Valls

CVPR 2024 Fun with Flags: Robust Principal Directions via Flag Manifolds Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal

ICLRW 2024 Semiparametric Inference and Equation Discovery with the Bayesian Machine Scientist Kai-Hendrik Cohrs, Gherardo Varando, Roger Guimerà, Marta Sales Pardo, Gustau Camps-Valls

TMLR 2023 Fair Kernel Regression Through Cross-Covariance Operators Adrian Perez-Suay, Paula Gordaliza, Jean-Michel Loubes, Dino Sejdinovic, Gustau Camps-Valls

MLJ 2023 Inference over Radiative Transfer Models Using Variational and Expectation Maximization Methods Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno-Martínez, Gustau Camps-Valls

NeurIPS 2023 Mesogeos: A Multi-Purpose Dataset for Data-Driven Wildfire Modeling in the Mediterranean Spyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis

ICCVW 2023 TeleViT: Teleconnection-Driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis

ECML-PKDD 2017 Fair Kernel Learning Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls