Invited talks

@misc{Camps24aida,
	title        = {Hybrid and Causal ML in the Earth sciences},
	author       = {Gustau Camps-Valls},
	year         = 2024,
	month        = Jan,
	booktitle    = {Artificial Intelligence Doctoral Academy (AIDA) - Lecture Series},
	address      = {Online},
	pdf          = {http://isp.uv.es/slides/Hybrid&Causal_16_01_2024_45min_v2_shorter.pdf},
	video        = {https://www.i-aida.org/events/hybrid-causal-machine-learning-in-the-earth-sciences/}
}
@misc{Camps23cam,
	title        = {Living in the ML-Physics Interplay for the Earth sciences},
	author       = {Gustau Camps-Valls},
	year         = 2023,
	month        = nov,
	booktitle    = {Cambridge University - Dep. Engineering},
	address      = {Cambridge, UK},
	pdf          = {http://isp.uv.es/slides/PAML_28_11_2023_45min.pdf},
	video        = {https://www.youtube.com/watch?v=xcLL3GNi668&feature=youtu.be}
}
@misc{Camps23dm,
	title        = {Hybrid and Causal ML in the Earth sciences},
	author       = {Gustau Camps-Valls},
	year         = 2023,
	month        = nov,
	booktitle    = {Google Deepmind},
	address      = {London, UK},
	pdf          = {http://isp.uv.es/slides/Hybrid&Causal_30_11_2023_45min_v2.pdf}
}
@inproceedings{camps23iahr,
	title        = {AI for the Earth sciences},
	author       = {Gustau Camps-Valls},
	year         = 2023,
	booktitle    = {IAHR World Congress 2023},
	address      = {Vienna, Austria},
	volume       = {},
	pdf          = {http://isp.uv.es/slides/iahr23_AI4Earth_25min_v3.pdf},
	editor       = {},
	organization = {}
}
@inproceedings{garcia23,
	title        = {Evaluation of Dimensionality Reduction Approaches for Optical Water Type Classification using EnMAP},
	author       = {Jorge García-Jimenez andJulia Amorós-López and Ana Belén Ruescas and Gustau Camps-Valls},
	year         = 2023,
	booktitle    = {Machine Learning And Data Analysis In Oceanography. 2023 edition of the Liège Colloquium},
	address      = {University of Liège, Place du XX-Août, 7 - 4000 Liège - Belgium},
	volume       = {},
	doi          = {},
	url          = {},
	editor       = {},
	organization = {},
	project      = {}
}
@inproceedings{camps23acai,
	title        = {Machine learning for modeling and understanding the Earth system},
	author       = {Gustau Camps-Valls},
	year         = 2023,
	booktitle    = {Summer school, ESSAI/ACAI 2023},
	address      = {Ljubljana, Slovenia},
	volume       = {},
	pdf          = {http://isp.uv.es/slides/gustau_ml4earth_26_07_2023_3h.pdf},
	editor       = {},
	organization = {}
}
@inproceedings{camps23ibpria,
	title        = {AI for Sustainable Earth Sciences},
	author       = {Gustau Camps-Valls},
	year         = 2023,
	booktitle    = {IbPRIA 2023},
	address      = {Alacant},
	volume       = {},
	pdf          = {http://isp.uv.es/slides/IBPRIA23_AI4Sustainability_45min.pdf},
	editor       = {},
	organization = {}
}
@inproceedings{Camps23jurse,
	title        = {{Advancing AI for Urban Sustainability}},
	author       = {Gustau Camps-Valls},
	year         = 2023,
	month        = {May},
	booktitle    = {Joint Urban Remote Sensing Event},
	address      = {Heraklion Crete, Greece},
	url          = {http://jurse2023.org/keynotes.html},
	project      = {USMILE,XAIDA,FBBVA,DEEPCUBE,USMILE}
}
@inproceedings{Camps23esa,
	title        = {{Causal Inference for Disaster Management}},
	author       = {Gustau Camps-Valls},
	year         = 2023,
	month        = {May},
	booktitle    = {Workshop on AI for Disaster Management - ESA philab},
	address      = {Frascati, Italy},
	project      = {USMILE,XAIDA,FBBVA,DEEPCUBE},
	pdf          = {http://isp.uv.es/slides/causal4disasters.pdf}
}
@inproceedings{Camps23causalstats,
	title        = {Graphs in State-Space Models for Granger Causality in Climate Science},
	author       = {Gustau Camps-Valls},
	year         = 2023,
	booktitle    = {CausalStats23: When Causal Inference meets Statistical Analysis},
	address      = {Paris},
	volume       = {},
	doi          = {},
	url          = {},
	editor       = {},
	pdf          = {http://isp.uv.es/slides/graphEM_causeme_2023.pdf},
	organization = {},
	project      = {USMILE,SCALE,CAUSEME}
}
@inproceedings{Camps23agenda,
	title        = {{A collective AI agenda for Earth Observation}},
	author       = {Gustau Camps-Valls},
	year         = 2023,
	month        = {Feb},
	booktitle    = {Catalonia AI4EO Day},
	address      = {Barcelona},
	project      = {USMILE},
	pdf          = {https://www.ieec.cat/content/media/announcements/en/1035}
}
@inproceedings{Camps23dte,
	title        = {{The role of AI in Digital Twins}},
	author       = {Gustau Camps-Valls},
	year         = 2023,
	month        = {Feb},
	booktitle    = {Winter 2022/2023 Workshop at Lorentz Center},
	address      = {Leiden, NL},
	project      = {USMILE},
	pdf          = {http://isp.uv.es/slides/LorentzCenter_Leiden_2023_AI4DTE_v1.pdf}
}
@inproceedings{Camps22neurips,
	title        = {{Physics-aware Machine Learning for Earth Observation}},
	author       = {Gustau Camps-Valls},
	year         = 2022,
	month        = {Dec 2022},
	booktitle    = {NeurIPS 2022 - Workshop on Tackling Climate Change with Machine Learning},
	address      = {New Orleans},
	project      = {USMILE},
	pdf          = {http://isp.uv.es/slides/2022_PhysicsML_CausalML_40min.pdf}
}
@inproceedings{Camps22poly,
	title        = {{Advancing AI for modeling and understanding the Earth system}},
	author       = {Gustau Camps-Valls},
	year         = 2022,
	month        = {May 2022},
	booktitle    = {Advancing AI for modeling and understanding the Earth system},
	address      = {E4C - Institut Polytechnique de Paris},
	project      = {USMILE},
	video        = {https://www.youtube.com/watch?v=0YUFVhjrBn0},
	pdf          = {http://isp.uv.es/slides/E4C_2022_PhysicsML_XAI_Causality_2h_2parts.pdf}
}
@inproceedings{Camps22imiracli,
	title        = {{Advancing AI for modeling and understanding the Earth system}},
	author       = {Gustau Camps-Valls},
	year         = 2022,
	month        = {September 2022},
	booktitle    = {ETN iMIRACLI - Summer school},
	address      = {Stockholm, Sweden},
	project      = {USMILE},
	pdf          = {http://isp.uv.es/slides/gustau_ml4earth_20_09_2022.pdf}
}
@inproceedings{Camps22ituun,
	title        = {{A collective agenda for AI on the Earth sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2022,
	month        = {February 2022},
	booktitle    = {A collective agenda for AI on the Earth sciences - AI and Climate Science},
	address      = {Online talk - ITU-UN AI4Good seminar series},
	project      = {SEDAL,USMILE},
	video        = {https://www.youtube.com/watch?v=ts5XSYgcsiE},
	pdf          = {http://isp.uv.es/slides/UN-ITU-AI4GOOD_2022_AI_AGENDA_PhysicsML_XAI_CAUSALITY_45min.pdf}
}
@inproceedings{Camps21ml4rs,
	title        = {{Physics-aware machine learning and causality for the Earth sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2021,
	month        = {November 2021},
	booktitle    = {ML and Remote Sensing Discussion Group},
	address      = {Online talk},
	project      = {SEDAL,USMILE}
}
@inproceedings{Camps21kitp,
	title        = {{Gaussianizing the Earth}},
	author       = {Gustau Camps-Valls},
	year         = 2021,
	month        = {November 2021},
	booktitle    = {KITP Conference: Machine Learning for Climate},
	address      = {Online talk},
	project      = {SEDAL,USMILE},
	pdf          = {http://isp.uv.es/slides/kitp2021_rbig_gcamps.pdf},
	video        = {https://online.kitp.ucsb.edu/online/climate-c21/campsvalls/}
}
@inproceedings{Camps21un,
	title        = {{Machine Learning for Earth and Climate Sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2021,
	month        = {October 2021},
	booktitle    = {GIMM: Europe - Side Event. The challenge of GEOAI for Good & GEOAI for a Sustainable Europe},
	address      = {Online talk},
	project      = {SEDAL,USMILE},
	pdf          = {http://isp.uv.es/slides/UN_GIMM21_ML4EARTH_15min.pdf}
}
@inproceedings{Camps21phiweek,
	title        = {{Interpretability and Causality in Earth Sciences (aka "fitting is not enough")}},
	author       = {Gustau Camps-Valls},
	year         = 2021,
	month        = {September 2021},
	booktitle    = {ESA Phi-Week Workshop},
	address      = {Online talk},
	project      = {SEDAL,USMILE},
	pdf          = {http://isp.uv.es/slides/ESA_PHIWEEK_2021_XAI_Causality_15min.pdf}
}
@inproceedings{Camps21ccai,
	title        = {{Physics-aware Machine Learning for the Earth sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2021,
	month        = {September 2021},
	booktitle    = {Climate Change AI - Machine Learning for Earth and Climate Sciences},
	address      = {Online talk, https://www.climatechange.ai/},
	project      = {SEDAL,USMILE},
	pdf          = {https://www.youtube.com/watch?v=-dpA75KU8Pg}
}
@inproceedings{Camps21maclean,
	title        = {{Advances in Machine Learning for Modelling and Understanding in Earth Sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2021,
	month        = {September 2021},
	booktitle    = {MACLEAN workshop},
	address      = {Online talk},
	project      = {USMILE},
	pdf          = {http://isp.uv.es/slides/MACLEAN21_PhysicsMLinterplay_XAI_Causality_1h.pdf}
}
@inproceedings{Camps21dl_grssitaly,
	title        = {{Advances in Machine Learning for Modelling and Understanding in Earth Sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2021,
	month        = {Jan 21 2021},
	booktitle    = {IEEE GRSS - Italian chapter},
	address      = {Online talk, Italy},
	url          = {https://www.youtube.com/watch?v=8262BYuWVUU},
	project      = {USMILE}
}
@inproceedings{Camps21_uthz,
	title        = {{Living in the Physics and Machine Learning Interplay for the Earth Sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2021,
	month        = {May 2021},
	booktitle    = {UTHZ Seminar series},
	address      = {Online talk, Zurich},
	url          = {},
	project      = {USMILE}
}
@inproceedings{Camps21_oceanix,
	title        = {{Physics-aware Interpretable Machine learning in the Earth sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2021,
	month        = {May 19th 2021},
	booktitle    = {OCEANIX Seminar series},
	address      = {Online talk, France},
	url          = {https://www.youtube.com/watch?v=PLuT0Yznvhg},
	project      = {USMILE}
}
@inproceedings{Camps21_mppl,
	title        = {{Physics Aware Machine Learning for the Earth Sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2021,
	month        = {May 28th 2021},
	booktitle    = {MPML Seminar series - ELLIS seminar},
	address      = {Online talk, Lisboa},
	url          = {https://mpml.tecnico.ulisboa.pt/seminars?recent},
	project      = {USMILE}
}
@inproceedings{CampsValls21DeepCube,
	title        = {{DeepCube: Explainable AI Pipelines for Big Copernicus data}},
	author       = {Ioannis Papoutsis and Alkyoni Baglatzi and Souzana Touloumtzi and Markus Reichstein and Nuno Carvalhais and Fabian Gans and Gustau Camps-Valls and Maria Piles and Theofilos Kakantousis and Jim Dowling and Manolis Koubarakis and Dimitris Bilidas and Despina-Athanasia Pantazi and George Stamoulis and Christophe Demange and Leo-Gad Journel and Marco Bianchi and Chiara Gervasi and Alessio Rucci and Ioannis Tsampoulatidis and Eleni Kamateri and Tarek Habib and Alejandro Díaz Bolívar and Zisoula Ntasiou and Anastasios Paschalis},
	year         = 2021,
	month        = {May},
	booktitle    = {BiDS Big Data from Space},
	address      = {Online Everywhere, https://www.bigdatafromspace2021.org/},
	url          = {http://cgi.di.uoa.gr/~koubarak/publications/2021/BIDS21_paper54.pdf}
}
@inproceedings{CampsValls20phiweek,
	title        = {{Living in the Physics and Machine Learning Interplay - An AI agenda with examples for the DTE}},
	author       = {Gustau Camps-Valls},
	year         = 2020,
	month        = {28-30 September 2020.},
	booktitle    = {The ESA Phi-week 2020},
	address      = {ESA-ESRIN, Italy},
	video        = {https://livestream.com/esa/phiweek2020/videos/211492628},
	pdf          = {http://isp.uv.es/slides/PHIWEEK20_PhysicsMLinterplay.pdf},
	project      = {SEDAL}
}
@inproceedings{CampsValls20physicsaware,
	title        = {Living in the Physics -- Machine Learning Interplay for Earth Observation},
	author       = {Camps-Valls, G. and Svendsen, D. H. and Cortes-Andres, J. and Moreno-Martínez, A. and Pérez-Suay, A. and Adsuara, J. and Martin, I. and Piles, M. and Muñoz-Marí, J. and Martino, L.},
	year         = 2020,
	month        = {},
	booktitle    = {AAAI Fall Series 2020 Symposium on Physics-guided AI for Accelerating Scientific Discovery},
	address      = {},
	pages        = {},
	doi          = {},
	note         = {},
	project      = {SEDAL,KERMES}
}
@inproceedings{CampsValls2020igarss_hybridxai,
	title        = {Advancing Deep Learning For Earth Sciences: From Hybrid Modeling To Interpretability},
	author       = {Camps-Valls, G. and Reichstein, M. and Zhu, Z. and Tuia, D.},
	year         = 2020,
	month        = {Jul},
	booktitle    = {{IGARSS} 2020 - 2020 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}},
	address      = {Waikoloa, Hawaii, USA},
	doi          = {},
	video        = {http://isp.uv.es/videos/AdvancesDL-2020-07-09_11-38-45.mkv},
	pdf          = {http://isp.uv.es/slides/AdvancesDL.pdf},
	project      = {SEDAL}
}
@inproceedings{johnson2020mlse,
	title        = {{Gaussianization for Earth - An Information Theoretic Perspective}},
	author       = {Emmanuel J. Johnson},
	year         = 2020,
	month        = {Dec},
	booktitle    = {Machine Learning for Science and Engineering (MLSE) 2020},
	address      = {Online Everywhere, https://www.mlse2020.com/earth},
	pdf          = {http://isp.uv.es/slides/mlse20_PhysicsMLinterplay.pdf},
	video        = {}
}
@inproceedings{campsvalls2020mlse,
	title        = {{How to Surf the Physics and Machine Learning Interplay}},
	author       = {Gustau Camps-Valls},
	year         = 2020,
	month        = {Dec},
	booktitle    = {Machine Learning for Science and Engineering (MLSE) 2020},
	address      = {Online Everywhere, https://www.mlse2020.com/earth},
	video        = {https://www.youtube.com/watch?v=NmMufP_qDz8}
}
@inproceedings{campsvalls2020ingarss,
	title        = {{Living in the Physics-Machine learning interplay for earth observation}},
	author       = {Gustau Camps-Valls},
	year         = 2020,
	month        = {Dec},
	booktitle    = {InGARSS 2020},
	address      = {Online Everywhere, https://www.ingarss2020.org/},
	video        = {https://www.ingarss2020.org/}
}
@inproceedings{CampsValls20phiweek,
	title        = {{Living in the Physics and Machine Learning Interplay - An AI agenda with examples for the DTE}},
	author       = {Gustau Camps-Valls},
	year         = 2020,
	month        = {28-30 September 2020.},
	booktitle    = {The ESA Phi-week 2020},
	address      = {ESA-ESRIN, Italy},
	video        = {https://livestream.com/esa/phiweek2020/videos/211492628},
	pdf          = {http://isp.uv.es/slides/PHIWEEK20_PhysicsMLinterplay.pdf},
	project      = {SEDAL}
}
@inproceedings{campsvalls2020dtu,
	title        = {{Advances in Machine Learning for Earth Sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2020,
	month        = {Dec},
	booktitle    = {Sustainable AI in practice 2020},
	address      = {Online Everywhere, https://www.conferencemanager.dk/sustainableai/conference/},
	pdf          = {http://isp.uv.es/slides/AdvancesML4EO_20min.pdf}
}
@inproceedings{CampsValls20physicsaware,
	title        = {Living in the Physics -- Machine Learning Interplay for Earth Observation},
	author       = {Camps-Valls, G. and Svendsen, D. H. and Cortes-Andres, J. and Moreno-Martínez, A. and Pérez-Suay, A. and Adsuara, J. and Martin, I. and Piles, M. and Muñoz-Marí, J. and Martino, L.},
	year         = 2020,
	month        = {},
	booktitle    = {AAAI Fall Series 2020 Symposium on Physics-guided AI for Accelerating Scientific Discovery},
	address      = {},
	pages        = {},
	doi          = {},
	note         = {},
	project      = {SEDAL,KERMES}
}
@inproceedings{CampsValls2020igarss_hybridxai,
	title        = {Advancing Deep Learning For Earth Sciences: From Hybrid Modeling To Interpretability},
	author       = {Camps-Valls, G. and Reichstein, M. and Zhu, Z. and Tuia, D.},
	year         = 2020,
	month        = {Jul},
	booktitle    = {{IGARSS} 2020 - 2020 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}},
	address      = {Waikoloa, Hawaii, USA},
	doi          = {},
	video        = {http://isp.uv.es/videos/AdvancesDL-2020-07-09_11-38-45.mkv},
	pdf          = {http://isp.uv.es/slides/AdvancesDL.pdf},
	project      = {SEDAL}
}
@inproceedings{Camps20UZH,
	title        = {{Advances in Machine Learning for Earth Observation}},
	author       = {Gustau Camps-Valls},
	year         = 2020,
	month        = {April 7, 2020},
	booktitle    = {Dept Geography -- University of Zurich, Switzerland},
	address      = {Dept Geography -- University of Zurich, Switzerland},
	url          = {https://www.geo.uzh.ch/en/units/rsl/events.html},
	project      = {SEDAL}
}
@inproceedings{Camps20UGent,
	title        = {{Advances in Machine Learning for Earth Sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2020,
	month        = {February 11, 2020},
	booktitle    = {UGent Data Science Seminar -- University of Ghent, Belgium},
	address      = {UGent Data Science Seminar -- University of Ghent, Belgium},
	url          = {https://www.meetup.com/UgentDSS/events/268501329/},
	project      = {SEDAL}
}
@inproceedings{Camps20BSC,
	title        = {{Advances in Machine learning for Modelling and Understanding in Earth Sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2020,
	month        = {1/Jan/2020},
	booktitle    = {Severo Ochoa Research Seminars -- Barcelona Supercomputing Center (BSC), Barcelona},
	address      = {Severo Ochoa Research Seminars -- Barcelona Supercomputing Center (BSC), Barcelona},
	doi          = {https://upcommons.upc.edu/handle/2117/330962},
	url          = {https://www.bsc.es/research-and-development/research-seminars/sors-advances-machine-learning-modelling-and-understanding-earth-sciences},
	project      = {SEDAL}
}
@inproceedings{Camps19Berlin,
	title        = {{Multivariate Gaussianization: Information Bottleneck and Flows}},
	author       = {Gustau Camps-Valls},
	year         = 2019,
	month        = {29 October 2019},
	booktitle    = {Technical University of Berlin, Germany},
	address      = {Technical University of Berlin, Germany},
	project      = {SEDAL}
}
@inproceedings{Moreno19Google,
	title        = {{HISTARFM: High spatial resolution land products from Landsat reflectance time series in GEE}},
	author       = {Álvaro Moreno},
	year         = 2019,
	month        = {18 September 2019},
	booktitle    = {eo for Good 2019, Google, SF},
	address      = {Geo for Good 2019, Google, SF}
}
@inproceedings{Camps19Wageningen,
	title        = {{Physics-aware Machine Learning for Earth Observation}},
	author       = {Gustau Camps-Valls},
	year         = 2019,
	month        = {20 September 2019},
	booktitle    = {https://www.wur.nl/en/Research-Results/Chair-groups/Environmental-Sciences/Laboratory-of-Geo-information-Science-and-Remote-Sensing/Show/Earth-Observations-and-Terrestrial-Carbon-Cycling.htm},
	address      = {Wageningen University and Research, Wageningen, The Netherlands},
	project      = {SEDAL}
}
@inproceedings{Camps19Kolkata,
	title        = {{Towards Physics-aware Machine Learning for Earth Observation}},
	author       = {Gustau Camps-Valls},
	year         = 2019,
	month        = {2 July 2019},
	booktitle    = {Indian Statistical Institute, Kalkota, India},
	address      = {Indian Statistical Institute, Kalkota, India},
	project      = {SEDAL}
}
@inproceedings{Camps19Bangalore,
	title        = {{Physics-aware Machine Learning and Causal Inferece in Earth and Climate Sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2019,
	month        = {2 July 2019},
	booktitle    = {ISI, Bangalore, India},
	address      = {ISI, Bangalore, India},
	project      = {SEDAL}
}
@inproceedings{Camps19Ahmedabad,
	title        = {{Advances in Machine Learning for Earth Observation}},
	author       = {Gustau Camps-Valls},
	year         = 2019,
	month        = {27 June 2019},
	booktitle    = {CEPT, Ahmedabad, India},
	address      = {CEPT, Ahmedabad, India},
	project      = {SEDAL}
}
@inproceedings{Camps19Mumbai,
	title        = {{New Machine Learning for Earth and Climate Sciences}},
	author       = {Gustau Camps-Valls},
	year         = 2019,
	month        = {25 June 2019},
	booktitle    = {ISI, Mumbai, India},
	address      = {ISI, Mumbai, India},
	project      = {SEDAL}
}
@inproceedings{Camps19LPS,
	title        = {{Revisiting global teleconnections of ENSO over soils and vegetation}},
	author       = {Gustau Camps-Valls},
	year         = 2019,
	month        = {15 May 2019},
	booktitle    = {ESA Living Planet Symposium, 2019},
	address      = {ESA Living Planet Symposium, 2019},
	project      = {SEDAL}
}
@inproceedings{Camps19EGU,
	title        = {{Learning nonlinear feature representations from Earth data}},
	author       = {Gustau Camps-Valls},
	year         = 2019,
	month        = {3 Apr 2019},
	booktitle    = {EGU},
	address      = {EGU 2019},
	project      = {SEDAL}
}
@inproceedings{Camps19BIDS,
	title        = {{Advances in Machine Learning for Earth Observation}},
	author       = {Gustau Camps-Valls},
	year         = 2019,
	month        = {20 Feb 2019},
	booktitle    = {},
	address      = {ESA BIDs 2019},
	project      = {SEDAL}
}
@inproceedings{Camps19Cavanilles,
	title        = {{Machine Learning for Earth Observation}},
	author       = {Gustau Camps-Valls},
	year         = 2019,
	month        = {21 March 2019},
	booktitle    = {Cavanilles Institute of Biodiversity and Evolutionary Biology},
	address      = {Cavanilles Institute of Biodiversity and Evolutionary Biology, Valencia},
	project      = {SEDAL}
}
@inproceedings{Piles19Lband,
	title        = {{Copernicus Imaging Microwave Radiometer (CIMR) Land Science and Products}},
	author       = {Maria Piles},
	year         = 2019,
	month        = {6-7 March 2019},
	booktitle    = {Low-Frequency Microwave Continuity Workshop - JPL, USA},
	address      = {Low-Frequency Microwave Continuity Workshop - JPL, USA}
}
@inproceedings{Ruescas18phiweekHyperlabelme,
	title        = {{HyperLabelMe: Benchmarking Image Classifiers}},
	author       = {Ana Ruescas, Jordi Muñoz-Marí, Luis Gómez-Chova, Gonzalo Mateo-García, Emma Izquiedo, Manuel Campos, <b>Gustau Camps-Valls</b>},
	year         = 2018,
	month        = {12-16 November 2018},
	booktitle    = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy},
	address      = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy}
}
@inproceedings{Camps18phiweekPhysics,
	title        = {{Physics-aware And Explainable Machine Learning}},
	author       = {<b>Gustau Camps-Valls</b>, Luis Gómez-Chova, Daniel Svendsen, Diego Bueso, Luca Martino, Adrián Pérez, Maria Piles,  Valero Laparra,  Ana Ruescas},
	year         = 2018,
	month        = {12-16 November 2018},
	booktitle    = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy},
	address      = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy}
}
@inproceedings{Camps18phiweekESDC,
	title        = {{Statistical Distillation of the Earth System Data Cube}},
	author       = {Gustau Camps-Valls, Juan Johnson, Valero Laparra, Diego Bueso, Gunnar Brandt, Norman Fomferra, Hans Permana and Miguel Mahecha},
	year         = 2018,
	month        = {12-16 November 2018},
	booktitle    = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy},
	address      = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy}
}
@inproceedings{CampsValls18oxfordworkshop,
	title        = {Machine Learning for Climate: 15 ways to leave your lover},
	author       = {Gustau Camps-Valls},
	year         = 2018,
	month        = {October, 31st - November 1st},
	address      = {Machine Learning and Climate Workshop 2018 - Oxford, UK},
	url          = {},
	project      = {SEDAL}
}
@inproceedings{CampsValls18bristol,
	title        = {From sparsity to Gaussianization in neural networks},
	author       = {Gustau Camps-Valls},
	year         = 2018,
	month        = {October, 30th},
	address      = {Department of Engineering Mathematics, University of Bristol, UK},
	url          = {},
	project      = {SEDAL},
	pdf          = {http://isp.uv.es/slides/}
}
@inproceedings{CampsValls18imperial,
	title        = {Physics-driven Gaussian Processes for Earth Observation},
	author       = {Gustau Camps-Valls},
	year         = 2018,
	month        = {October, 29th},
	address      = {Data Science Institute, Grantham Institute, Imperial College London, UK},
	url          = {http://www3.imperial.ac.uk/newsandeventspggrp/imperialcollege/engineering/datascienceinstitute/eventssummary/event_19-10-2018-13-7-58},
	project      = {SEDAL},
	pdf          = {http://isp.uv.es/slides/imperial2018_gcamps_3x4.pdf}
}
@inproceedings{CampsValls18kic,
	title        = {Machine learning for Earth Observation},
	author       = {Gustau Camps-Valls},
	year         = 2018,
	month        = {October, 26th},
	address      = {Climathon KIC. Tackling Water Innovation Challenges. Role of Copernicus EO products. Universitat de València},
	url          = {https://climathon.climate-kic.org/en/burjassot},
	project      = {SEDAL}
}
@inproceedings{CampsValls18dg,
	title        = {Neural networks, Gaussianization, and information distillation},
	author       = {Gustau Camps-Valls},
	year         = 2018,
	month        = {September},
	address      = {Digital Globe, Denver, US},
	url          = {},
	project      = {SEDAL},
	pdf          = {http://isp.uv.es/slides/dg_gcamps_2018.pdf}
}
@inproceedings{CampsValls18dlabs,
	title        = {Unsupervised Deep Networks: Sparsity, Gaussianization, and the information bottleneck},
	author       = {Gustau Camps-Valls},
	year         = 2018,
	month        = {September},
	address      = {Descartes Labs, Santa Fe, US},
	url          = {},
	project      = {SEDAL},
	pdf          = {http://isp.uv.es/slides/dlabs_gcamps_2018.pdf}
}
@inproceedings{CampsValls18ci,
	title        = {Unsupervised Deep Feature Learning with Sparse Codes and Gaussianization},
	author       = {Gustau Camps-Valls},
	year         = 2018,
	month        = {September},
	address      = {Climate Informatics 2018, NCAR, Boulder, US},
	url          = {},
	project      = {SEDAL},
	pdf          = {http://isp.uv.es/slides/ci_gcamps_2018.pdf}
}
@inproceedings{CampsValls18csu,
	title        = {Unsupervised Deep Networks: Neural networks, Gaussianization, and information distillation},
	author       = {Gustau Camps-Valls},
	year         = 2018,
	month        = {September},
	address      = {Maths department, Colorado State University, Fort Collins, US},
	url          = {},
	project      = {SEDAL},
	pdf          = {http://isp.uv.es/slides/csu_gcamps_2018.pdf}
}
@inproceedings{CampsValls18ox,
	title        = {Gaussianization, Independence, Fairness},
	author       = {Gustau Camps-Valls},
	year         = 2018,
	month        = {July},
	address      = {Oxford, Dep. Statistics},
	url          = {},
	project      = {SEDAL},
	pdf          = {http://isp.uv.es/slides/oxford2018_gcamps.pdf}
}
@inproceedings{CampsValls17DLcampinas,
	title        = {Machine Learning in Remote Sensing},
	author       = {Gustau Camps-Valls},
	year         = 2017,
	month        = {November},
	address      = {IEEE Distinguished Lecturer - Campinas, Brasil},
	url          = {},
	project      = {SEDAL},
	pdf          = {http://isp.uv.es/slides/DL_gcamps.pdf}
}
@inproceedings{CampsValls17DLrio,
	title        = {Advanced Machine Learning for Biophysical Parameter Retrieval},
	author       = {Gustau Camps-Valls},
	year         = 2017,
	month        = {November},
	address      = {IEEE Distinguished Lecturer - Rio de Janeiro, Brasil},
	url          = {},
	project      = {SEDAL}
}
@inproceedings{CampsValls17wageningen,
	title        = {Open problems in remote sensing},
	author       = {Gustau Camps-Valls},
	year         = 2017,
	month        = {27-30 June},
	address      = {Causality in Complex Systems - Amsterdam Soesterberg, The Netherlands},
	url          = {},
	project      = {SEDAL}
}
@inproceedings{CampsValls17agu_gps,
	title        = {Large Scale {G}aussian Processes for Atmospheric Parameter Retrieval and Cloud Screening},
	author       = {G. Camps-Valls and L. G\'omez-Chova and G. Mateo and V. Laparra and Adrián Pérez-Suay and J. Muñoz-Marí},
	year         = 2017,
	booktitle    = {American Geophysical Union (AGU) Fall meeting 2017},
	address      = {New Orleans, USA, 11-15 December 2017}
}
@inproceedings{CampsValls17agu_emula,
	title        = {Advanced Machine Learning Emulators of Radiative Transfer Models},
	author       = {G. Camps-Valls and J. Verrelst and L. Martino and J. Vicent},
	year         = 2017,
	booktitle    = {American Geophysical Union (AGU) Fall meeting 2017},
	address      = {New Orleans, USA, 11-15 December 2017}
}
@inproceedings{CampsValls17agu_wood,
	title        = {Mapping wood density globally using remote sensing and climatological data},
	author       = {A. Moreno-Martínez and G. Camps-Valls and N. Carvalhais and J. Kattge and N. Robinson and M. Reichstein and B. Allred and S.W. Running},
	year         = 2017,
	booktitle    = {American Geophysical Union (AGU) Fall meeting 2017},
	address      = {New Orleans, USA, 11-15 December 2017}
}
@inproceedings{CampsValls17scia,
	title        = {Physics-Aware Gaussian Processes for Earth Observation},
	author       = {Gustau Camps-Valls},
	year         = 2017,
	month        = {12-14 June},
	address      = {SCIA17 - Troms\o, Norway},
	url          = {https://link.springer.com/chapter/10.1007/978-3-319-59129-2_18},
	project      = {SEDAL},
	pdf          = {http://isp.uv.es/slides/scia2017_gcamps_v2_16x9_light.pdf}
}
@inproceedings{CampsValls17baci,
	title        = {Physics-aware machine learning for biophysical parameter retrieval},
	author       = {Gustau Camps-Valls},
	year         = 2017,
	month        = {19-21 June},
	address      = {BACI meeting - Jena, Germany},
	url          = {http://baci-h2020.eu},
	project      = {SEDAL}
}
@inproceedings{CampsValls17fluxcom,
	title        = {Potential of Machine Learning for FLUXCOM upscaling},
	author       = {Camps-Valls, G.},
	year         = 2017,
	address      = {MPI BGC - FLUXCOM workshop. Jena, Germany, May 2017}
}
@inproceedings{CampsValls17egu,
	title        = {Vegetation Monitoring with Gaussian Processes and Latent Force Models},
	author       = {Camps-Valls, G.},
	year         = 2017,
	address      = {EGU17 - Vienna, Austria, 23-28 April 2017},
	pdf          = {http://isp.uv.es/slides/egu2017_gcamps_v2_4x3}
}
@inproceedings{CampsValls17lfmearsl,
	title        = {Latent Force Models for Model-Data Integration in Vegetation Monitoring},
	author       = {Martino, L. and Luengo, D. and Camps-Valls, G.},
	year         = 2017,
	address      = {10th EARSeL SIG Imaging Spectroscopy Workshop},
	address      = {EARSeL17 - 19-21 April 2017, University of Zurich (Switzerland)}
}
@inproceedings{CampsValls16cms,
	title        = {Monitoring Vegetation From Space with Gaussian Processes and Latent Force Models},
	author       = {Camps-Valls, G.},
	year         = 2016,
	month        = {December},
	address      = {9th International Conference on Computational and Methodological Statistics, CMStatistics, Sevilla, Spain},
	pdf          = {http://isp.uv.es/slides/cmstatistics2016_gcamps_v1.pdf}
}
@inproceedings{CampsValls16tumdlr,
	title        = {Machine learning for Remote Sensing},
	author       = {Camps-Valls, G.},
	year         = 2016,
	address      = {TUM-DLR Summer School, Munich, Germany},
	url          = {}
}
@inproceedings{CampsValls16ist,
	title        = {Semisupervised manifold alignment with kernels},
	author       = {Camps-Valls, G.},
	year         = 2016,
	address      = {Institute of Science and Technology Austria},
	url          = {}
}
@inproceedings{CampsValls16uam,
	title        = {Domain Adaptation with the Kernel Manifold Alignment},
	author       = {Camps-Valls, G.},
	year         = 2016,
	address      = {Computer Science Dep. Universidad Autonoma de Madrid, Spain},
	url          = {http://www.uam.es/ss/Satellite/EscuelaPolitecnica/es/la-escuela-2/agenda/evento/detalle/seminarios-de-investigacion-en-ingenieria-informatica-y-de-telecomunicacion-2016-2017--domain-adapta.htm}
}
@inproceedings{CampsValls15cablab,
	title        = {The role of modern machine learning in Earth observation},
	author       = {Camps-Valls, G.},
	year         = 2015,
	address      = {CABLAB: Exploring the Earth System Data Cube, MPI-Biogeochemistry, Jena, Germany},
	url          = {http://earthsystemdatacube.net/}
}
@inproceedings{CampsValls15cvpr,
	title        = {Monitoring Earth Climate Variables with Statistical Inference},
	author       = {Camps-Valls, G.},
	year         = 2015,
	address      = {CVPR EarthVision Workshop, Boston, USA},
	url          = {http://www.grss-ieee.org/earthvision2015/},
	pdf          = {http://isp.uv.es/slides/cvpr2015_gcamps_v2_web.pdf}
}
@inproceedings{CampsValls15ecml,
	title        = {Learning Structures in Earth Observation Data with Gaussian Processes},
	author       = {Camps-Valls, G.},
	year         = 2015,
	address      = {ECML Time series Workshop, Porto, Portugal},
	url          = {http://ama.liglab.fr/aaltd_ecml2015/},
	pdf          = {http://isp.uv.es/slides/ecml2015_gcamps_v1.pdf}
}
@inproceedings{CampsValls15statlearn,
	title        = {Kernel manifold alignment},
	author       = {Camps-Valls, G.},
	year         = 2015,
	address      = {StatLearn conference, Grenoble, France},
	url          = {http://statlearn.sfds.asso.fr/statlearn15/}
}
@inproceedings{Malo15,
	title        = {Visual Illusions: Sometimes it is better not to see the truth!},
	author       = {J. Malo},
	year         = 2015,
	address      = {IAPR IbPRIA 2015, Santiago de Compostela, Spain}
}
@inproceedings{Malo15b,
	title        = {Geometrical and Statistical Properties of Vision Models obtained via MAximum Differentation},
	author       = {J. Malo and E. Simoncelli.},
	year         = 2015,
	address      = {SPIE Human Vision and Electronic Imaging 15', San Francisco, USA}
}
@inproceedings{CampsValls14esa,
	title        = {Hyperspectral image processing},
	author       = {Camps-Valls, G.},
	year         = 2014,
	address      = {5th ESA Advanced Training Course on Land Remote Sensing. 8-12 September 2014, University of Valencia, Valencia, Spain},
	url          = {http://www.esa.int/spaceinvideos/Videos/2014/12/LAND_TRAINING_COURSE_2014_HYPERSPECTRAL_LIDAR}
}
@inproceedings{CampsValls14siu,
	title        = {Advances in Kernel Methods for Remote Sensing Image Processing},
	author       = {Camps-Valls, G.},
	year         = 2014,
	address      = {Keynote speaker at the SIU conference, Trabzon, Turkey},
	pdf          = {http://isp.uv.es/slides/trabzon2014_gcamps.pdf}
}
@inproceedings{CampsValls14whisperstutorial,
	title        = {Kernel methods for hyperspectral image processing},
	author       = {Camps-Valls, G.},
	year         = 2014,
	address      = {6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. 24-27 June, 2014, Lausanne, Switzerland}
}
@inproceedings{Malo14,
	title        = {Computational Visual Neuroscience: New Perspectives from Statistical Learning},
	author       = {J. Malo},
	year         = 2014,
	address      = {IEEE Intercon 14, Arequipa, Perú}
}
@inproceedings{CampsValls13ima,
	title        = {Back to the 60s: Kernel Methods to Deep Neural Networks in Remote Sensing Data Processing},
	author       = {Camps-Valls, G.},
	year         = 2013,
	address      = {IMA Hot Topics Workshop - Imaging in Geospatial Applications, University of Minnessota, USA},
	url          = {https://www.ima.umn.edu/2013-2014/SW9.23-26.13/}
}
@inproceedings{CampsValls13jena,
	title        = {Recent machine learning developments for remote sensing data processing},
	author       = {Camps-Valls, G.},
	year         = 2013,
	address      = {MPI for Biogeochemistry, Jena, Germany},
	url          = {https://www.bgc-jena.mpg.de/}
}
@inproceedings{CampsValls13nobim,
	title        = {Advances in Kernel Image Processing},
	author       = {Camps-Valls, G.},
	year         = 2013,
	address      = {Keynote speaker at the Conference on Image Processing and Pattern Recognition, NOBIM. Oslo, Norway},
	url          = {http://www.nobim.no/}
}
@inproceedings{Laparra13,
	title        = {Phase in images: a summary of statistical facts},
	author       = {V. Laparra and J. Malo},
	year         = 2013,
	address      = {Redwood Center for Theoretical Neuroscience, Berkeley Univ., USA}
}
@inproceedings{Malo13,
	title        = {Fitting multi-layer models using MAximum Differentation (MAD)},
	author       = {J. Malo and W. Kong and E. Simoncelli},
	year         = 2013,
	address      = {MIT Comp. Sci. Artif. Intell., Boston, USA}
}
@inproceedings{CampsValls11cvc,
	title        = {Iterative Gaussianization Framework for Image Processing},
	author       = {Camps-Valls, G.},
	year         = 2012,
	address      = {Computer Vision Center, Barcelona},
	url          = {http://www.cvc.uab.es/?m=201101}
}
@inproceedings{CampsValls12bourn,
	title        = {Extended Kernel Methods},
	author       = {Camps-Valls, G.},
	year         = 2012,
	address      = {Computing and Informatics Seminars, Univ. Bournemouth, UK},
	url          = {https://www1.bournemouth.ac.uk/}
}
@inproceedings{CampsValls12cvc,
	title        = {Kernel Signal-To-Noise Ratio for Machine Learning},
	author       = {Camps-Valls, G.},
	year         = 2012,
	address      = {Computer Vision Center, Barcelona},
	url          = {http://www.cvc.uab.es/?p=406}
}
@inproceedings{CampsValls12epfl,
	title        = {Statistical Learning in Earth Monitoring},
	author       = {Camps-Valls, G.},
	year         = 2012,
	address      = {Environmental Engineering Series, EPFL, Lausanne, Switzerland},
	url          = {http://memento.epfl.ch/event/statistical-learning-in-earth-monitoring/}
}
@inproceedings{CampsValls12nice,
	title        = {Multivariate Gaussianization for data processing},
	author       = {Camps-Valls, G.},
	year         = 2012,
	address      = {MAHI workshop. Univ. Nice Sophia-Antipolis, F. Laboratoire Joseph-Louis Lagrange, Nice, France},
	url          = {https://www-n.oca.eu/aferrari/MAHI/prog12.html}
}
@inproceedings{CampsValls11spie,
	title        = {SVM for remote sensing image classification: tricks of the trade},
	author       = {Camps-Valls, G.},
	year         = 2011,
	address      = {Keynote speaker at the SPIE Conf. on signal and image processing. Prague, Czech Rep.},
	url          = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1269849}
}
@inproceedings{CampsValls09grenoble,
	title        = {Iterative Gaussianization Framework},
	author       = {Camps-Valls, G.},
	year         = 2009,
	address      = {GIPSA lab: Grenoble Inst. Tech (France)},
	url          = {http://www.gipsa-lab.grenoble-inp.fr/animation/seminaires.php?id_sem=194}
}
@inproceedings{CampsValls09tubingen,
	title        = {Natural Image Relations in Denoising},
	author       = {Camps-Valls, G.},
	year         = 2009,
	address      = {MPI for Biological Cybernetics, Tübingen, Germany},
	url          = {http://www.jmlr.org/papers/volume11/laparra10a/laparra10a.pdf}
}
@inproceedings{CampsValls09tubingen2,
	title        = {Natural Image Relations in Kernel-based Image Denoising},
	author       = {Camps-Valls, G.},
	year         = 2009,
	address      = {Max Planck Institute for Biological Cybernetics, Tübingen, Germany},
	url          = {http://www.jmlr.org/papers/volume11/laparra10a/laparra10a.pdf}
}
@inproceedings{CampsValls08unil,
	title        = {Kernel Classifiers in Remote Sensing},
	author       = {Camps-Valls, G.},
	year         = 2008,
	address      = {University of Lausanne, Switzerland, 2008},
	url          = {http://www.unil.ch/central/en/home.html}
}
@inproceedings{Malo08,
	title        = {Color and Luminance Discrimination by Non-Linear PCA},
	author       = {V. Laparra and J. Malo},
	year         = 2008,
	address      = {Computational Vision and Neuroscience symposium}
}
@inproceedings{Malo08b,
	title        = {Masking-like Non-Linearities from Non-linear PCA},
	author       = {V. Laparra and J. Malo},
	year         = 2008,
	address      = {GRC Conference: Sensory Coding and The Natural Environment}
}
@inproceedings{CampsValls07itn,
	title        = {Kernel-based Data Fusion},
	author       = {Camps-Valls, G.},
	year         = 2007,
	address      = {ITN network: HYPER-I-NET School on Hyperspectral Imaging. Cáceres, Spain},
	url          = {http://hyperinet.multimediacampus.it/images/Camps.pdf}
}
@inproceedings{CampsValls06sbc,
	title        = {Kernel methods in Bioinformatics},
	author       = {Camps-Valls, G.},
	year         = 2006,
	address      = {Stockholm Bioinformatics Center (SBC). Stockholm, Sweden},
	url          = {https://www.sbc.su.se/seminars/sem2006.html}
}
@inproceedings{CampsValls05mpi,
	title        = {Kernel Methods in Remote Sensing: Introduction, Applications and Research Opportunities},
	author       = {Camps-Valls, G.},
	year         = 2005,
	address      = {Max Planck Institute (Tübingen, Germany)}
}
@inproceedings{Malo04,
	title        = {Perturbation Analysis of the Changes in V1 Receptive Fields due to Context},
	author       = {J. Malo and J. Gutiérrez and J. Rovira},
	year         = 2004,
	address      = {Gordon Research Conference: Sensory Coding and the Natural Environment. Oxford, UK}
}