Gustau Camps-Valls

247 papers A* 4A 3B 2C 49Misc 2Journal 174Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality. CoRR Danfeng Hong, Chenyu Li, Xuyang Li, Gustau Camps-Valls, Jocelyn Chanussot
2025	J	`jnl`	A Collaborative Platform for Soil Organic Carbon Inference Based on Spatiotemporal Remote Sensing Data. CoRR Jose Manuel Aroca-Fernandez, José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Victor Elvira, Gustau Camps-Valls, Rodrigo Pascual, César Ignacio García-Osorio
2025	A*	`conf`	A Flag Decomposition for Hierarchical Datasets. CVPR Nathan Mankovich, Ignacio Santamaría, Gustau Camps-Valls, Tolga Birdal
2025	J	`jnl`	A Flag Decomposition for Hierarchical Datasets. CoRR Nathan Mankovich, Ignacio Santamaría, Gustau Camps-Valls, Tolga Birdal
2025	J	`jnl`	Calibration and uncertainty quantification for deep learning-based drought detection. Int. J. Appl. Earth Obs. Geoinformation Mengxue Zhang, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Gustau Camps-Valls
2025	J	`jnl`	Dimensionality Reduction for Remote Sensing Data Analysis: A Systematic Review of Methods and Applications. CoRR Nathan Mankovich, Kai-Hendrik Cohrs, Homer Durand, Vasileios Sitokonstantinou, Tristan Williams, Gustau Camps-Valls
2025	J	`jnl`	Dynamics of Masked Image Modeling in Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Chen Ma, Huayi Li, Junjun Jiang, César Aybar, Jiaqi Yao, Gustau Camps-Valls
2025	J	`jnl`	Emulation of Forward Modeled Top-of-Atmosphere MODIS-Based Spectral Channels Using Machine Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jessenia Gonzalez, Sudhakar Dipu, Odran Sourdeval, Alexandre Siméon, Gustau Camps-Valls, Johannes Quaas
2025	J	`jnl`	Estimating Information Theoretic Measures via Multidimensional Gaussianization. IEEE Trans. Pattern Anal. Mach. Intell. Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
2025	J	`jnl`	Geospatial Foundation Models to Enable Progress on Sustainable Development Goals. CoRR Pedram Ghamisi, Weikang Yu, Xiaokang Zhang, Aldino Rizaldy, Jian Wang, Chufeng Zhou, Richard Gloaguen, Gustau Camps-Valls
2025	J	`jnl`	Invertible Neural Networks for Probabilistic Aerosol Optical Depth Retrieval. IEEE Trans. Geosci. Remote. Sens. Paolo Pelucchi, Jorge Vicent Servera, Philip Stier, Gustau Camps-Valls
2025	J	`jnl`	Large language models for causal hypothesis generation in science. Mach. Learn. Sci. Technol. Kai-Hendrik Cohrs, Emiliano Diaz, Vasileios Sitokonstantinou, Gherardo Varando, Gustau Camps-Valls
2025	A	`conf`	Learning Causal Response Representations through Direct Effect Analysis. UAI Homer Durand, Gherardo Varando, Gustau Camps-Valls
2025	J	`jnl`	Learning Causal Response Representations through Direct Effect Analysis. CoRR Homer Durand, Gherardo Varando, Gustau Camps-Valls
2025	J	`jnl`	Machine Learning-Based Retrieval of Cloud Droplet Number Concentration and Liquid Water Path From Satellite Spectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jessenia Gonzalez, Sudhakar Dipu, Gabriel Jimenez, Gustau Camps-Valls, Johannes Quaas
2025	J	`jnl`	On the Generalization of Representation Uncertainty in Earth Observation. CoRR Spyros Kondylatos, Nikolaos-Ioannis Bountos, Dimitrios Michail, Xiao Xiang Zhu, Gustau Camps-Valls, Ioannis Papoutsis
2025	A	`conf`	Out-of-distribution robustness for multivariate analysis via causal regularisation. AISTATS Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau Camps-Valls
2025	J	`jnl`	Physically consistent and uncertainty-aware learning of spatiotemporal dynamics. CoRR Qingsong Xu, Jonathan L. Bamber, Nils Thuerey, Niklas Boers, Paul Bates, Gustau Camps-Valls, Yilei Shi, Xiao Xiang Zhu
2025	J	`jnl`	Probabilistic Machine Learning for Noisy Labels in Earth Observation. CoRR Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Prapas, Angelos Zavras, Gustau Camps-Valls, Ioannis Papoutsis
2025	J	`jnl`	TeleViT1.0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts. CoRR Ioannis Prapas, Nikolaos Papadopoulos, Nikolaos-Ioannis Bountos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis
2025	J	`jnl`	Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting. CoRR Spyros Kondylatos, Gustau Camps-Valls, Ioannis Papoutsis
2025	J	`jnl`	UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction. CoRR Chenyu Li, Danfeng Hong, Bing Zhang, Yuxuan Li, Gustau Camps-Valls, Xiao Xiang Zhu, Jocelyn Chanussot
2025	J	`jnl`	Video Compression for Spatiotemporal Earth System Data. CoRR Oscar J. Pellicer-Valero, César Aybar, Gustau Camps-Valls
2024	J	`jnl`	AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. CoRR 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, Tristan Williams
2024	C	`conf`	Assessing the Causal Impact of Humanitarian Aid on Food Security. IGARSS Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls
2024	J	`jnl`	Causal Graph Neural Networks for Wildfire Danger Prediction. CoRR Shan Zhao, Ioannis Prapas, Ilektra Karasante, Zhitong Xiong, Ioannis Papoutsis, Gustau Camps-Valls, Xiao Xiang Zhu
2024	J	`jnl`	Causal hybrid modeling with double machine learning - applications in carbon flux modeling. Mach. Learn. Sci. Technol. Kai-Hendrik Cohrs, Gherardo Varando, Nuno Carvalhais, Markus Reichstein, Gustau Camps-Valls
2024	J	`jnl`	Causal machine learning for sustainable agroecosystems. CoRR Vasileios Sitokonstantinou, Emiliano Díaz Salas Porras, Jordi Cerdà-Bautista, Maria Piles, Ioannis Athanasiadis, Hannah Kerner, Giulia Martini, Lily-belle Sweet, Ilias Tsoumas, Jakob Zscheischler, Gustau Camps-Valls
2024	J	`jnl`	Deep Learning With Noisy Labels for Spatiotemporal Drought Detection. IEEE Trans. Geosci. Remote. Sens. Jordi Cortés-Andrés, Miguel-Ángel Fernández-Torres, Gustau Camps-Valls
2024	J	`jnl`	DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes. CoRR Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora, Oscar J. Pellicer-Valero, Claire Robin, Maximilian Söchting, Mélanie Weynants, Miguel D. Mahecha
2024	J	`jnl`	Double machine learning for causal hybrid modeling - applications in the Earth sciences. CoRR Kai-Hendrik Cohrs, Gherardo Varando, Nuno Carvalhais, Markus Reichstein, Gustau Camps-Valls
2024	C	`conf`	Drought Displacement Forecasts Can Be Improved With Twitter Data. IGARSS José María Tárraga, María Piles, Eleni Kamateri, Eva Sevillano Marco, Ioannis Tsampoulatidis, Jordi Muñoz-Marí, Gustau Camps-Valls
2024	J	`jnl`	Earth System Data Cubes: Avenues for advancing Earth system research. CoRR David Montero, Guido Kraemer, Anca Anghelea, César Aybar, Gunnar Brandt, Gustau Camps-Valls, Felix Cremer, Ida Flik, Fabian Gans, Sarah Habershon, Chaonan Ji, Teja Kattenborn, Laura Martínez-Ferrer, Francesco Martinuzzi, Martin Reinhardt, Maximilian Söchting, Khalil Teber, Miguel D. Mahecha
2024	J	`jnl`	Explainable Earth Surface Forecasting under Extreme Events. CoRR Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel D. Mahecha, Gustau Camps-Valls
2024	J	`jnl`	Explainable deep learning for automatic rock classification. Comput. Geosci. Dongyu Zheng, Hanting Zhong, Gustau Camps-Valls, Zhisong Cao, Xiaogang Ma, Benjamin Mills, Xiumian Hu, Mingcai Hou, Chao Ma
2024	A*	`conf`	Fun with Flags: Robust Principal Directions via Flag Manifolds. CVPR Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal
2024	J	`jnl`	Fun with Flags: Robust Principal Directions via Flag Manifolds. CoRR Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal
2024	J	`jnl`	Improving generalisation via anchor multivariate analysis. CoRR Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau Camps-Valls
2024	J	`jnl`	Large Language Models for Constrained-Based Causal Discovery. CoRR Kai-Hendrik Cohrs, Gherardo Varando, Emiliano Diaz, Vasileios Sitokonstantinou, Gustau Camps-Valls
2024	J	`jnl`	Multioutput Feature Selection for Emulation and Sensitivity Analysis. IEEE Trans. Geosci. Remote. Sens. Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Juan Pablo Rivera Caicedo, Gustau Camps-Valls
2024	J	`jnl`	Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities. CoRR Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J. Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu
2024	A*	`conf`	Overview of ACM SIGKDD 2024 AI4Science4AI Special Day. KDD Wei Ding, Gustau Camps-Valls
2024	J	`jnl`	Pairwise causal discovery with support measure machines. Appl. Soft Comput. Gherardo Varando, Salvador Catsis, Emiliano Diaz, Gustau Camps-Valls
2024	J	`jnl`	Recovering Latent Confounders from High-dimensional Proxy Variables. CoRR Nathan Mankovich, Homer Durand, Emiliano Diaz, Gherardo Varando, Gustau Camps-Valls
2024	C	`conf`	WALGREEN: Web Based Platform for Soil Organic Carbon Inference Applications. IGARSS José Manuel Aroca, José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Antonio Canepa-Oneto, Juan Carlos Rad, Gustau Camps-Valls, Víctor Elvira, César García-Osorio
2024	J	`jnl`	Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series. Int. J. Digit. Earth C. Rajadel-Lambistos, Emma Izquierdo-Verdiguier, Álvaro Moreno-Martínez, Marco P. Maneta, Santiago Beguería, John S. Kimball, Nicholas Clinton, Clement Atzberger, Gustau Camps-Valls, Steven W. Running
2023	J	`jnl`	A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Gülsen Taskin, Emrullah Fatih Yetkin, Gustau Camps-Valls
2023	J	`jnl`	Artificial intelligence to advance Earth observation: a perspective. CoRR Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Saso Dzeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider
2023	J	`jnl`	Causality and Explainability for Trustworthy Integrated Pest Management. CoRR Ilias Tsoumas, Vasileios Sitokonstantinou, Georgios Giannarakis, Evagelia Lampiri, Christos Athanassiou, Gustau Camps-Valls, Charalampos Kontoes, Ioannis Athanasiadis
2023	J	`jnl`	Discovering Causal Relations and Equations from Data. CoRR Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius, Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, Jakob Runge
2023	J	`jnl`	Evaluating the Impact of Humanitarian Aid on Food Security. CoRR Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls
2023	C	`conf`	Explainability of End and Mid-Season Cotton Yield Predictors In Conus. IGARSS Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Gustau Camps-Valls
2023	J	`jnl`	Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data. IEEE Geosci. Remote. Sens. Lett. Mehmet Furkan Celik, Mustafa Serkan Isik, Gülsen Taskin, Esra Erten, Gustau Camps-Valls
2023	J	`jnl`	Fair Kernel Regression through Cross-Covariance Operators. Trans. Mach. Learn. Res. Adrian Perez-Suay, Paula Gordaliza, Jean-Michel Loubes, Dino Sejdinovic, Gustau Camps-Valls
2023	J	`jnl`	Graphs in State-Space Models for Granger Causality in Climate Science. CoRR Víctor Elvira, Emilie Chouzenoux, Jordi Cerdà, Gustau Camps-Valls
2023	J	`jnl`	Inference over radiative transfer models using variational and expectation maximization methods. Mach. Learn. Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno-Martínez, Gustau Camps-Valls
2023	J	`jnl`	Interpretable Long Short-Term Memory Networks for Crop Yield Estimation. IEEE Geosci. Remote. Sens. Lett. Anna Mateo-Sanchis, José E. Adsuara, Maria Piles, Jordi Muñoz-Marí, Adrian Perez-Suay, Gustau Camps-Valls
2023	J	`jnl`	Learning latent functions for causal discovery. Mach. Learn. Sci. Technol. Emiliano Diaz, Gherardo Varando, Juan Emmanuel Johnson, Gustau Camps-Valls
2023	J	`jnl`	Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation. IEEE Trans. Geosci. Remote. Sens. Arndt Kaps, Axel Lauer, Gustau Camps-Valls, Pierre Gentine, Luis Gómez-Chova, Veronika Eyring
2023	A*	`conf`	Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. NeurIPS Spyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis
2023	J	`jnl`	Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. CoRR Spyros Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis
2023	J	`jnl`	Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models. IEEE Trans. Geosci. Remote. Sens. Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Gustau Camps-Valls
2023	J	`jnl`	Role of locality, fidelity and symmetry regularization in learning explainable representations. Neurocomputing Michele Ronco, Gustau Camps-Valls
2023	—	`conf`	TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. ICCV (Workshops) Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis
2023	J	`jnl`	TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. CoRR Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis
2023	J	`jnl`	Understanding cirrus clouds using explainable machine learning. CoRR Kai Jeggle, David Neubauer, Gustau Camps-Valls, Ulrike Lohmann
2022	J	`jnl`	Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions. IEEE Trans. Geosci. Remote. Sens. María Piles, Jordi Muñoz-Marí, Alicia Guerrero-Curieses, Gustau Camps-Valls, José Luis Rojo-Álvarez
2022	J	`jnl`	Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Gülsen Taskin, Gustau Camps-Valls
2022	J	`jnl`	Inference over radiative transfer models using variational and expectation maximization methods. CoRR Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno, Gustau Camps-Valls
2022	J	`jnl`	Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions. IEEE Trans. Geosci. Remote. Sens. Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls
2022	A	`ed.`	International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. AISTATS Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera
2022	J	`jnl`	Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness. Pattern Recognit. Zhu Li, Adrián Pérez-Suay, Gustau Camps-Valls, Dino Sejdinovic
2022	J	`jnl`	Learning Relevant Features of Optical Water Types. IEEE Geosci. Remote. Sens. Lett. Katalin Blix, Ana Belen Ruescas, Juan Emmanuel Johnson, Gustau Camps-Valls
2022	J	`jnl`	Retrieval of Physical Parameters With Deep Structured Kernel Regression. IEEE Trans. Geosci. Remote. Sens. Gustau Camps-Valls, Manuel Campos-Taberner, Valero Laparra, Luca Martino, Jordi Muñoz-Marí
2022	J	`jnl`	Systematic Assessment of MODTRAN Emulators for Atmospheric Correction. IEEE Trans. Geosci. Remote. Sens. Jorge Vicent Servera, Juan Pablo Rivera Caicedo, Jochem Verrelst, Jordi Muñoz-Marí, Neus Sabater, Béatrice Berthelot, Gustau Camps-Valls, José F. Moreno
2022	—	`conf`	The Kernelized Taylor Diagram. NAIS Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2022	J	`jnl`	The Kernelized Taylor Diagram. CoRR Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2022	J	`jnl`	Unsupervised Anomaly and Change Detection With Multivariate Gaussianization. IEEE Trans. Geosci. Remote. Sens. José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls
2022	J	`jnl`	Unsupervised Anomaly and Change Detection with Multivariate Gaussianization. CoRR José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls
2021	J	`jnl`	Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing. IEEE Trans. Aerosp. Electron. Syst. Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls
2021	J	`jnl`	Compressed particle methods for expensive models with application in Astronomy and Remote Sensing. CoRR Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls
2021	J	`jnl`	Crop Yield Estimation and Interpretability With Gaussian Processes. IEEE Geosci. Remote. Sens. Lett. Laura Martínez-Ferrer, Maria Piles, Gustau Camps-Valls
2021	J	`jnl`	Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion. CoRR Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Ana Belen Ruescas, Rafael Molina, Gustau Camps-Valls
2021	J	`jnl`	Deep Learning Methods for Daily Wildfire Danger Forecasting. CoRR Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis, Gustau Camps-Valls, Michele Ronco, Miguel-Ángel Fernández-Torres, Maria Piles Guillem, Nuno Carvalhais
2021	J	`jnl`	Deep Learning and Earth Observation to Support the Sustainable Development Goals. CoRR Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, Devis Tuia, Pedram Ghamisi, Mila Koeva, Gustau Camps-Valls
2021	J	`jnl`	Efficient Nonlinear RX Anomaly Detectors. IEEE Geosci. Remote. Sens. Lett. José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls
2021	C	`conf`	Global Cropland Yield Monitoring with Gaussian Processes. IGARSS Maria Piles, Anna Mateo-Sanchis, Jordi Muñoz-Marí, Gustau Camps-Valls, François Waldner, Felix Rembold, Michele Meroni
2021	C	`conf`	Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data. IGARSS Emma Izquierdo-Verdiguier, Álvaro Moreno-Martínez, José E. Adsuara, Jordi Muñoz-Marí, Gustau Camps-Valls, Marco P. Maneta, John S. Kimball, Nicholas Clinton, Steven W. Running
2021	J	`jnl`	Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. CoRR Gülsen Taskin, Gustau Camps-Valls
2021	J	`jnl`	Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions. CoRR Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls
2021	J	`jnl`	Learning main drivers of crop progress and failure in Europe with interpretable machine learning. Int. J. Appl. Earth Obs. Geoinformation Anna Mateo-Sanchis, Maria Piles, Julia Amorós-López, Jordi Muñoz-Marí, José E. Adsuara, Álvaro Moreno-Martínez, Gustau Camps-Valls
2021	—	`ch.`	Perspective on Deep Learning for Earth Sciences. Generalization with Deep Learning Gustau Camps-Valls
2021	C	`conf`	Physics-Aware Machine Learning for Geosciences and Remote Sensing. IGARSS Gustau Camps-Valls, Daniel H. Svendsen, Jordi Cortés-Andrés, Álvaro Moreno-Martínez, Adrián Pérez-Suay, José E. Adsuara, Irene Martín, Maria Piles, Jordi Muñoz-Marí, Luca Martino
2021	J	`jnl`	Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods. CoRR Ana B. Ruescas, Martin Hieronymi, Sampsa S. Koponen, Kari Y. Kallio, Gustau Camps-Valls
2021	J	`jnl`	Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. CoRR Devis Tuia, Michele Volpi, Maxime Trolliet, Gustau Camps-Valls
2021	C	`conf`	Towards a Better Understanding of Effective Temperature Modelling in the SMOS-IC Retrieval Algorithm. IGARSS Roberto Fernandez-Moran, María Piles, Gustau Camps-Valls, Jean-Pierre Wigneron, Xiaojun Li, Mengjia Wang, Lei Fan, Amen Al-Yaari, Luis Gómez-Chova
2021	J	`jnl`	Towards a Collective Agenda on AI for Earth Science Data Analysis. CoRR Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiao Xiang Zhu, Gustau Camps-Valls
2020	J	`jnl`	A Perspective on Gaussian Processes for Earth Observation. CoRR Gustau Camps-Valls, Dino Sejdinovic, Jakob Runge, Markus Reichstein
2020	J	`jnl`	A deep network approach to multitemporal cloud detection. CoRR Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls
2020	C	`conf`	ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY. IGARSS Gustau Camps-Valls, Markus Reichstein, Xiaoxiang Zhu, Devis Tuia
2020	J	`jnl`	Accounting for Input Noise in Gaussian Process Parameter Retrieval. CoRR Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
2020	J	`jnl`	Accounting for Input Noise in Gaussian Process Parameter Retrieval. IEEE Geosci. Remote. Sens. Lett. Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
2020	J	`jnl`	Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval. CoRR Jochem Verrelst, Sara Dethier, Juan Pablo Rivera, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno
2020	J	`jnl`	Active emulation of computer codes with Gaussian processes - Application to remote sensing. Pattern Recognit. Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls
2020	Misc	`conf`	Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems. ICASSP Luca Martino, Daniel Heestermans Svendsen, Jorge Vicent, Gustau Camps-Valls
2020	J	`jnl`	Causal Inference in Geoscience and Remote Sensing from Observational Data. CoRR Adrián Pérez-Suay, Gustau Camps-Valls
2020	J	`jnl`	Causal Inference in Geosciences with Kernel Sensitivity Maps. CoRR Adrián Pérez-Suay, Gustau Camps-Valls
2020	J	`jnl`	Cloud detection machine learning algorithms for PROBA-V. CoRR Luis Gómez-Chova, Gonzalo Mateo-García, Jordi Muñoz-Marí, Gustau Camps-Valls
2020	J	`jnl`	Consistent regression of biophysical parameters with kernel methods. CoRR Emiliano Diaz, Adrián Pérez-Suay, Valero Laparra, Gustau Camps-Valls
2020	J	`jnl`	Convolutional Neural Networks for Multispectral Image Cloud Masking. CoRR Gonzalo Mateo-García, Luis Gómez-Chova, Gustau Camps-Valls
2020	J	`jnl`	Deep Gaussian Processes for geophysical parameter retrieval. CoRR Daniel Heestermans Svendsen, Pablo Morales-Álvarez, Rafael Molina, Gustau Camps-Valls
2020	J	`jnl`	Deep Importance Sampling based on Regression for Model Inversion and Emulation. CoRR Fernando Llorente, Luca Martino, David Delgado, Gustau Camps-Valls
2020	C	`conf`	Discovering Differential Equations from Earth Observation Data. IGARSS José E. Adsuara, Adrián Pérez-Suay, Álvaro Moreno-Martínez, Gustau Camps-Valls, Guido Kraemer, Markus Reichstein, Miguel D. Mahecha
2020	J	`jnl`	Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. CoRR Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
2020	C	`conf`	Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine. IGARSS Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Gustau Camps-Valls, Marco P. Maneta, Jordi Muñoz-Marí, Nathaniel P. Robinson, José E. Adsuara, Manuel Campos, F. Javier García-Haro, Adrián Pérez-Suay, Nicholas Clinton, John S. Kimball, Steven W. Running
2020	J	`jnl`	Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Valero Laparra, Gustau Camps-Valls
2020	J	`jnl`	Efficient Nonlinear RX Anomaly Detectors. CoRR José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls
2020	J	`jnl`	Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes. CoRR Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera Caicedo, Neus Sabater, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno
2020	J	`jnl`	Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations. CoRR Aleksandra Wolanin, Gustau Camps-Valls, Luis Gómez-Chova, Gonzalo Mateo-García, Christiaan van der Tol, Yongguang Zhang, Luis Guanter
2020	J	`jnl`	Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes. CoRR Luca Pipia, Jordi Muñoz-Marí, Eatidal Amin, Santiago Belda, Gustau Camps-Valls, Jochem Verrelst
2020	J	`jnl`	Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes. CoRR Anna Mateo-Sanchis, Jordi Muñoz-Marí, Manuel Campos-Taberner, F. Javier García-Haro, Gustau Camps-Valls
2020	J	`jnl`	Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models. CoRR Jorge Vicent, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls
2020	J	`jnl`	Information Theory Measures via Multidimensional Gaussianization. CoRR Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesus Malo
2020	J	`jnl`	Information Theory in Density Destructors. CoRR Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
2020	C	`conf`	Interpretability of Recurrent Neural Networks in Remote Sensing. IGARSS Adrián Pérez-Suay, José E. Adsuara, María Piles, Laura Martínez-Ferrer, Emiliano Diaz, Álvaro Moreno-Martínez, Gustau Camps-Valls
2020	J	`jnl`	Kernel Anomalous Change Detection for Remote Sensing Imagery. CoRR José Antonio Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls
2020	J	`jnl`	Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences. CoRR Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls
2020	J	`jnl`	Living in the Physics and Machine Learning Interplay for Earth Observation. CoRR Gustau Camps-Valls, Daniel H. Svendsen, Jordi Cortés-Andrés, Álvaro Moreno-Martínez, Adrián Pérez-Suay, José E. Adsuara, Irene Martín, Maria Piles, Jordi Muñoz-Marí, Luca Martino
2020	J	`jnl`	Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources. CoRR Sancho Salcedo-Sanz, Pedram Ghamisi, Maria Piles, Martin Werner, Lucas Cuadra, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí, Amirhosein Mosavi, Gustau Camps-Valls
2020	J	`jnl`	Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources. Inf. Fusion Sancho Salcedo-Sanz, Pedram Ghamisi, María Piles, Martin Werner, Lucas Cuadra, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí, Amirhosein Mosavi, Gustau Camps-Valls
2020	C	`conf`	Manifold Learning with High Dimensional Model Representations. IGARSS Gülsen Taskin, Gustau Camps-Valls
2020	J	`jnl`	Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization. CoRR Devis Tuia, Diego Marcos, Gustau Camps-Valls
2020	J	`jnl`	Nonlinear Cook distance for Anomalous Change Detection. CoRR José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls
2020	J	`jnl`	Nonlinear Distribution Regression for Remote Sensing Applications. CoRR José E. Adsuara, Adrián Pérez-Suay, Jordi Muñoz-Marí, Anna Mateo-Sanchis, Maria Piles, Gustau Camps-Valls
2020	J	`jnl`	Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data. IEEE Trans. Geosci. Remote. Sens. Diego Bueso, Maria Piles, Gustau Camps-Valls
2020	Misc	`conf`	Particle Group Metropolis Methods for Tracking the Leaf Area Index. ICASSP Luca Martino, Víctor Elvira, Gustau Camps-Valls
2020	J	`jnl`	Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks. CoRR Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Jordi Muñoz-Marí, Dieter Just, Gustau Camps-Valls
2020	J	`jnl`	Randomized RX for target detection. CoRR Fatih Nar, Adrián Pérez-Suay, José Antonio Padrón, Gustau Camps-Valls
2020	J	`jnl`	Randomized kernels for large scale Earth observation applications. CoRR Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Valero Laparra, Jordi Muñoz-Marí, Gustau Camps-Valls
2020	J	`jnl`	Retrieval of Case 2 Water Quality Parameters with Machine Learning. CoRR Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls, Martin Hieronymi
2020	J	`jnl`	Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. Int. J. Appl. Earth Obs. Geoinformation Katja Berger, Jochem Verrelst, Jean-Baptiste Féret, Tobias Hank, Matthias Wocher, Wolfram Mauser, Gustau Camps-Valls
2020	J	`jnl`	Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. CoRR Katja Berger, Jochem Verrelst, Jean-Baptiste Féret, Tobias Hank, Matthias Wocher, Wolfram Mauser, Gustau Camps-Valls
2020	J	`jnl`	Sparsity-driven Digital Terrain Model Extraction. CoRR Fatih Nar, Erdal Yilmaz, Gustau Camps-Valls
2020	J	`jnl`	Spatial noise-aware temperature retrieval from infrared sounder data. CoRR David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls
2020	J	`jnl`	Spectral band selection for vegetation properties retrieval using Gaussian processes regression. CoRR Jochem Verrelst, Juan Pablo Rivera, Anatoly A. Gitelson, Jesús Delegido, José F. Moreno, Gustau Camps-Valls
2020	J	`jnl`	Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. CoRR David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls
2020	J	`jnl`	Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality. CoRR Miguel Morata-Dolz, Diego Bueso, Maria Piles, Gustau Camps-Valls
2020	J	`jnl`	Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference. CoRR Anna Mateo-Sanchis, Jordi Muñoz-Marí, Adrián Pérez-Suay, Gustau Camps-Valls
2019	J	`jnl`	Active emulation of computer codes with Gaussian processes - Application to remote sensing. CoRR Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls
2019	J	`jnl`	Causal Inference in Geoscience and Remote Sensing From Observational Data. IEEE Trans. Geosci. Remote. Sens. Adrian Perez-Suay, Gustau Camps-Valls
2019	J	`jnl`	Deep learning and process understanding for data-driven Earth system science. Nat. Markus Reichstein, Gustau Camps-Valls, Bjorn Stevens, Martin Jung, Joachim Denzler, Nuno Carvalhais, Prabhat
2019	J	`jnl`	Foreword to the Special Issue on IGARSS 2018. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. José F. Moreno, José Antonio Sobrino, Gustau Camps-Valls
2019	J	`jnl`	Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models. IEEE Trans. Geosci. Remote. Sens. Jorge Vicent Servera, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls, José F. Moreno
2019	J	`jnl`	Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data. IEEE Trans. Geosci. Remote. Sens. Joaquin Garcia-Sobrino, Valero Laparra, Joan Serra-Sagristà, Xavier Calbet, Gustau Camps-Valls
2019	J	`jnl`	Kernel Anomalous Change Detection for Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. José Antonio Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls
2019	J	`jnl`	Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness. CoRR Zhu Li, Adrian Perez-Suay, Gustau Camps-Valls, Dino Sejdinovic
2019	J	`jnl`	Nonlinear Distribution Regression for Remote Sensing Applications. IEEE Trans. Geosci. Remote. Sens. José E. Adsuara, Adrián Pérez-Suay, Jordi Muñoz-Marí, Anna Mateo-Sanchis, Maria Piles, Gustau Camps-Valls
2019	—	`conf`	The Causality for Climate Competition. NeurIPS (Competition and Demos) Jakob Runge, Xavier-Andoni Tibau, Matthias Bruhns, Jordi Muñoz-Marí, Gustau Camps-Valls
2018	J	`jnl`	A Critical Comparison of Remote Sensing Leaf Area Index Estimates over Rice-Cultivated Areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUMETSAT Polar System. Remote. Sens. Manuel Campos-Taberner, Francisco Javier García-Haro, Lorenzo Busetto, Luigi Ranghetti, Beatriz Martínez, María Amparo Gilabert, Gustau Camps-Valls, Fernando Camacho, Mirco Boschetti
2018	C	`conf`	A Deep Network Approach to Multitemporal Cloud Detection. IGARSS Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls
2018	J	`jnl`	Assessing the relationship between microwave vegetation optical depth and gross primary production. Int. J. Appl. Earth Obs. Geoinformation Irene E. Teubner, Matthias Forkel, Martin Jung, Yi Y. Liu, Diego G. Miralles, Robert M. Parinussa, Robin van der Schalie, Mariette Vreugdenhil, Christopher R. Schwalm, Gianluca Tramontana, Gustau Camps-Valls, Wouter A. Dorigo
2018	C	`conf`	Consistent Regression of Biophysical Parameters with Kernel Methods. IGARSS Emiliano Diaz, Adrian Perez-Suay, Valero Laparra, Gustau Camps-Valls
2018	C	`conf`	Deep Gaussian Processes for Geophysical Parameter Retrieval. IGARSS Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Rafael Molina, Gustau Camps-Valls
2018	C	`conf`	Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. IGARSS Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
2018	—	`conf`	Distributed Particle Metropolis-Hastings Schemes. SSP Luca Martino, Victor Elvira, Gustau Camps-Valls
2018	J	`jnl`	Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera Caicedo, Neus Sabater, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno
2018	C	`conf`	Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes. IGARSS Anna Mateo-Sanchis, Jordi Muñoz-Marí, Manuel Campos-Taberner, F. Javier García-Haro, Gustau Camps-Valls
2018	C	`conf`	Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites. IGARSS Francisco Javier García-Haro, Manuel Campos-Taberner, Beatriz Martínez, Sergio Sanchez-Ruiz, María Amparo Gilabert, Gustau Camps-Valls, Jordi Muñoz-Marí, Valero Laparra, Fernando Camacho, Jorge Sánchez-Zapero, Beatriz Fuster
2018	J	`jnl`	Global Estimation of Biophysical Variables from Google Earth Engine Platform. Remote. Sens. Manuel Campos-Taberner, Álvaro Moreno-Martínez, Francisco Javier García-Haro, Gustau Camps-Valls, Nathaniel P. Robinson, Jens Kattge, Steven W. Running
2018	J	`jnl`	Group Importance Sampling for particle filtering and MCMC. Digit. Signal Process. Luca Martino, Víctor Elvira, Gustau Camps-Valls
2018	C	`conf`	Interpolation and Gap Filling of Landsat Reflectance Time Series. IGARSS Álvaro Moreno-Martínez, Marco P. Maneta, Gustau Camps-Valls, Luca Martino, Nathaniel P. Robinson, Brady W. Allred, Steven W. Running
2018	J	`jnl`	Joint Gaussian Processes for Biophysical Parameter Retrieval. IEEE Trans. Geosci. Remote. Sens. Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls
2018	J	`jnl`	Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data. Remote. Sens. Ana B. Ruescas, Martin Hieronymi, Gonzalo Mateo-Garcia, Sampsa S. Koponen, Kari Y. Kallio, Gustau Camps-Valls
2018	C	`conf`	Multioutput Automatic Emulator for Radiative Transfer Models. IGARSS Daniel Heestermans Svendsen, Luca Martino, Jorge Vicent, Gustau Camps-Valls
2018	J	`jnl`	Multitemporal Cloud Masking in the Google Earth Engine. Remote. Sens. Gonzalo Mateo-Garcia, Luis Gómez-Chova, Julia Amorós-López, Jordi Muñoz-Marí, Gustau Camps-Valls
2018	C	`conf`	Nonlinear Complex PCA for Spatio-Temporal Analysis of Global Soil Moisture. IGARSS Diego Bueso, Maria Piles, Gustau Camps-Valls
2018	C	`conf`	Nonlinear Cook Distance for Anomalous Change Detection. IGARSS José Antonio Padrón-Hidalgo, Adrian Perez-Suay, Fatih Nar, Gustau Camps-Valls
2018	J	`jnl`	Pattern Recognition Scheme for Large-Scale Cloud Detection Over Landmarks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Adrian Perez-Suay, Julia Amorós-López, Luis Gómez-Chova, Jordi Muñoz-Marí, Dieter Just, Gustau Camps-Valls
2018	J	`jnl`	Physics-aware Gaussian processes in remote sensing. Appl. Soft Comput. Gustau Camps-Valls, Luca Martino, Daniel H. Svendsen, Manuel Campos-Taberner, Jordi Muñoz-Marí, Valero Laparra, David Luengo, Francisco Javier García-Haro
2018	C	`conf`	Randomized RX for Target Detection. IGARSS Fatih Nar, Adrian Perez-Suay, José Antonio Padrón, Gustau Camps-Valls
2018	J	`jnl`	Remote Sensing Image Classification With Large-Scale Gaussian Processes. IEEE Trans. Geosci. Remote. Sens. Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls
2018	C	`conf`	Retrieval of Case 2 Water Quality Parameters with Machine Learning. IGARSS Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls, Martin Hieronymi
2018	J	`jnl`	Sensitivity maps of the Hilbert-Schmidt independence criterion. Appl. Soft Comput. Adrián Pérez-Suay, Gustau Camps-Valls
2018	J	`jnl`	Signal-to-noise ratio in reproducing kernel Hilbert spaces. Pattern Recognit. Lett. Luis Gómez-Chova, Raúl Santos-Rodríguez, Gustau Camps-Valls
2018	C	`conf`	Sparsity-Driven Digital Terrain Model Extraction. IGARSS Fatih Nar, Erdal Yilmaz, Gustau Camps-Valls
2018	C	`conf`	Statistical Learning For End-To-End Simulations. IGARSS Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera Caicedo, Neus Sabater, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno
2018	J	`jnl`	The FLUXCOM ensemble of global land-atmosphere energy fluxes. CoRR Martin Jung, Sujan Koirala, Ulrich Weber, Kazuhito Ichii, Fabian Gans, Gustau Camps-Valls, Dario Papale, Christopher R. Schwalm, Gianluca Tramontana, Markus Reichstein
2018	J	`jnl`	The Recycling Gibbs sampler for efficient learning. Digit. Signal Process. Luca Martino, Víctor Elvira, Gustau Camps-Valls
2018	C	`conf`	Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. IGARSS David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls
2018	J	`jnl`	Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference. IEEE Geosci. Remote. Sens. Lett. Anna Mateo-Sanchis, Jordi Muñoz-Marí, Adrian Perez-Suay, Gustau Camps-Valls
2017	—	`conf`	Automatic Emulation by Adaptive Relevance Vector Machines. SCIA (1) Luca Martino, Jorge Vicent, Gustau Camps-Valls
2017	C	`conf`	Automatic emulator and optimized look-up table generation for radiative transfer models. IGARSS Luca Martino, Jorge Vicent, Gustau Camps-Valls
2017	C	`conf`	Causal inference in geosciences with kernel sensitivity maps. IGARSS Adrian Perez-Suay, Gustau Camps-Valls
2017	C	`conf`	Cloud detection machine learning algorithms for PROBA-V. IGARSS Luis Gómez-Chova, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Gustau Camps-Valls
2017	J	`jnl`	Compensatory water effects link yearly global land CO Nat. Martin Jung, Markus Reichstein, Christopher R. Schwalm, Christopher Huntingford, Stephen Sitch, Anders Ahlström, Almut Arneth, Gustau Camps-Valls, Philippe Ciais, Pierre Friedlingstein, Fabian Gans, Kazuhito Ichii, Atul K. Jain, Etsushi Kato, Dario Papale, Ben Poulter, Botond Raduly, Christian Rödenbeck, Gianluca Tramontana, Nicolas Viovy, Ying-Ping Wang, Ulrich Weber, Sönke Zaehle, Ning Zeng
2017	J	`jnl`	Computer Science Meets Ecology (Dagstuhl Seminar 17091). Dagstuhl Reports Gustau Camps-Valls, Thomas Hickler, Birgitta König-Ries
2017	C	`conf`	Convolutional neural networks for multispectral image cloud masking. IGARSS Gonzalo Mateo-Garcia, Luis Gómez-Chova, Gustau Camps-Valls
2017	C	`conf`	Efficient remote sensing image classification with Gaussian processes and Fourier features. IGARSS Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls
2017	J	`jnl`	Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index. Remote. Sens. Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls, Gonçal Grau-Muedra, Francesco Nutini, Lorenzo Busetto, Dimitrios Katsantonis, Dimitris G. Stavrakoudis, Chara Minakou, Luca Gatti, Massimo Barbieri, Francesco Holecz, Daniela Stroppiana, Mirco Boschetti
2017	—	`conf`	Fair Kernel Learning. ECML/PKDD (1) Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls
2017	J	`jnl`	Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Katalin Blix, Gustau Camps-Valls, Robert Jenssen
2017	J	`jnl`	Group Importance Sampling for Particle Filtering and MCMC. CoRR Luca Martino, Victor Elvira, Gustau Camps-Valls
2017	—	`conf`	Group metropolis sampling. EUSIPCO Luca Martino, Victor Elvira, Gustau Camps-Valls
2017	J	`jnl`	Joint Gaussian Processes for Biophysical Parameter Retrieval. CoRR Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls
2017	C	`conf`	Joint Gaussian processes for inverse modeling. IGARSS Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Gustau Camps-Valls
2017	J	`jnl`	Nonlinear Time-Series Adaptation for Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. Adeline Bailly, Laetitia Chapel, Romain Tavenard, Gustau Camps-Valls
2017	C	`conf`	Nonlinear statistical retrieval of surface emissivity from IASI data. IGARSS Valero Laparra, Jordi Muñoz-Marí, Luis Gómez-Chova, Xavier Calbet, Gustau Camps-Valls
2017	J	`jnl`	Optimized Kernel Entropy Components. IEEE Trans. Neural Networks Learn. Syst. Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls
2017	B	`conf`	Passive millimeter wave image classification with large scale Gaussian processes. ICIP Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls, Aggelos K. Katsaggelos
2017	—	`conf`	Physics-Aware Gaussian Processes for Earth Observation. SCIA (2) Gustau Camps-Valls, Daniel H. Svendsen, Luca Martino, Jordi Muñoz-Marí, Valero Laparra, Manuel Campos-Taberner, David Luengo
2017	C	`conf`	Predicting year of plantation with hyperspectral and lidar data. IGARSS Adrià Descals, Luis Alonso, Gustau Camps-Valls
2017	—	`conf`	Probabilistic cross-validation estimators for Gaussian process regression. EUSIPCO Luca Martino, Valero Laparra, Gustau Camps-Valls
2017	—	`conf`	Recycling Gibbs sampling. EUSIPCO Luca Martino, Victor Elvira, Gustau Camps-Valls
2017	J	`jnl`	Remote Sensing Image Classification with Large Scale Gaussian Processes. CoRR Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls
2017	C	`conf`	Retrieval of coloured dissolved organic matter with machine learning methods. IGARSS Ana B. Ruescas, Martin Hieronymi, Sampsa S. Koponen, Kari Y. Kallio, Gustau Camps-Valls
2017	J	`jnl`	SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra. Remote. Sens. Jochem Verrelst, Juan Pablo Rivera Caicedo, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno
2017	C	`conf`	Spatial noise-aware temperature retrieval from infrared sounder data. IGARSS David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls
2017	J	`jnl`	Statistical Atmospheric Parameter Retrieval Largely Benefits From Spatial-Spectral Image Compression. IEEE Trans. Geosci. Remote. Sens. Joaquin Garcia-Sobrino, Joan Serra-Sagristà, Valero Laparra, Xavier Calbet, Gustau Camps-Valls
2016	J	`jnl`	Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval. IEEE Geosci. Remote. Sens. Lett. Jochem Verrelst, Sara Dethier, Juan Pablo Rivera, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno
2016	J	`jnl`	Dimensionality Reduction via Regression in Hyperspectral Imagery. CoRR Valero Laparra, Jesús Malo, Gustau Camps-Valls
2016	J	`jnl`	Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis. Remote. Sens. Jochem Verrelst, Neus Sabater, Juan Pablo Rivera, Jordi Muñoz-Marí, Jorge Vicent, Gustau Camps-Valls, José F. Moreno
2016	—	`conf`	Latent force models for earth observation time series prediction. MLSP David Luengo, Manuel Campos-Taberner, Gustau Camps-Valls
2016	J	`jnl`	Optimized Kernel Entropy Components. CoRR Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls
2016	J	`jnl`	Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Manuel Campos-Taberner, Adriana Romero-Soriano, Carlo Gatta, Gustau Camps-Valls, Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu, Michal Shimoni, Gabriele Moser, Devis Tuia
2016	J	`jnl`	Spectral band selection for vegetation properties retrieval using Gaussian processes regression. Int. J. Appl. Earth Obs. Geoinformation Jochem Verrelst, Juan Pablo Rivera, Anatoly A. Gitelson, Jesús Delegido, José F. Moreno, Gustau Camps-Valls
2016	J	`jnl`	The Recycling Gibbs Sampler for Efficient Learning. CoRR Luca Martino, Victor Elvira, Gustau Camps-Valls
2016	J	`jnl`	Unsupervised Deep Feature Extraction for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Adriana Romero, Carlo Gatta, Gustau Camps-Valls
2015	J	`jnl`	An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning. Remote. Sens. Juan Pablo Rivera, Jochem Verrelst, José Gómez-Dans, Jordi Muñoz-Marí, José F. Moreno, Gustau Camps-Valls
2015	C	`conf`	Biophysical parameter retrieval with warped Gaussian processes. IGARSS Jordi Muñoz-Marí, Jochem Verrelst, Miguel Lázaro-Gredilla, Gustau Camps-Valls
2015	C	`conf`	Development of an earth observation processing chain for crop bio-physical parameters at local scale. IGARSS Manuel Campos-Taberner, F. Javier García-Haro, Álvaro Moreno, María Amparo Gilabert, Beatriz Martínez, Sergio Sanchez-Ruiz, Gustau Camps-Valls
2015	J	`jnl`	Dimensionality Reduction via Regression in Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. Valero Laparra, Jesus Malo, Gustau Camps-Valls
2015	J	`jnl`	Kernel Manifold Alignment. CoRR Devis Tuia, Gustau Camps-Valls
2015	C	`conf`	Large-scale random features for kernel regression. IGARSS Valero Laparra, Diego Marcos Gonzalez, Devis Tuia, Gustau Camps-Valls
2015	—	`conf`	Learning Structures in Earth Observation Data with Gaussian Processes. AALTD@PKDD/ECML (Revised Selected Papers) Fernando Mateo, Jordi Muñoz-Marí, Valero Laparra, Jochem Verrelst, Gustau Camps-Valls
2015	J	`jnl`	Mapping Leaf Area Index With a Smartphone and Gaussian Processes. IEEE Geosci. Remote. Sens. Lett. Manuel Campos-Taberner, F. Javier García-Haro, Álvaro Moreno, M. Amparo Gilabert Navarro, Sergio Sanchez-Ruiz, Beatriz Martínez, Gustau Camps-Valls
2015	J	`jnl`	Multimodal Classification of Remote Sensing Images: A Review and Future Directions. Proc. IEEE Luis Gómez-Chova, Devis Tuia, Gabriele Moser, Gustau Camps-Valls
2015	C	`conf`	Operational cloud screening service for Sentinel-2 image time series. IGARSS Luis Gómez-Chova, Julia Amorós-López, Antonio Ruiz-Verdú, Jordi Muñoz-Marí, Gustau Camps-Valls
2015	C	`conf`	Ranking drivers of global carbon and energy fluxes over land. IGARSS Gustau Camps-Valls, Martin Jung, Kazuhito Ichii, Dario Papale, Gianluca Tramontana, Paul Bodesheim, Christopher R. Schwalm, Jakob Zscheischler, Miguel D. Mahecha, Markus Reichstein
2015	C	`conf`	Replacing radiative transfer models by surrogate approximations through machine learning. IGARSS Jochem Verrelst, Juan Pablo Rivera, José Gómez-Dans, Gustau Camps-Valls, José F. Moreno
2015	C	`conf`	Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction. IGARSS Katalin Blix, Gustau Camps-Valls, Robert Jenssen
2015	C	`conf`	Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination. IGARSS Manuel Campos-Taberner, Adriana Romero, Carlo Gatta, Gustau Camps-Valls
2015	J	`jnl`	Unsupervised Deep Feature Extraction for Remote Sensing Image Classification. CoRR Adriana Romero, Carlo Gatta, Gustau Camps-Valls
2015	C	`conf`	Weakly supervised alignment of multisensor images. IGARSS Diego Marcos Gonzalez, Gustau Camps-Valls, Devis Tuia
2014	J	`jnl`	Principal Polynomial Analysis. Int. J. Neural Syst. Valero Laparra, Sandra Jiménez, Devis Tuia, Gustau Camps-Valls, Jesús Malo
2014	B	`conf`	Unsupervised Alignment of Image Manifolds with Centrality Measures. ICPR Devis Tuia, Michele Volpi, Gustau Camps-Valls
2003	C	`conf`	Feature selection of hyperspectral data through local correlation and SFFS for crop classification. IGARSS Luis Gómez-Chova, Javier Calpe, Gustau Camps-Valls, José David Martín-Guerrero, Emilio Soria-Olivas, Joan Vila-Francés, Luis Alonso-Chorda, José Moreno
2003	C	`conf`	Semi-supervised classification method for hyperspectral remote sensing images. IGARSS Luis Gómez-Chova, Javier Calpe, Gustau Camps-Valls, José David Martín-Guerrero, Emilio Soria-Olivas, Joan Vila-Francés, Luis Alonso-Chorda, José Moreno