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@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}, pdf = {http://isp.uv.es/slides/iahr23_AI4Earth_25min_v3.pdf}, Booktitle = {IAHR World Congress 2023}, Editor = {}, Address = {Vienna, Austria}, Organization = {}, Volume = {}, year={2023} } @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}, doi = {}, url={}, Booktitle = {Machine Learning And Data Analysis In Oceanography. 2023 edition of the Liège Colloquium}, Editor = {}, Address = {University of Liège, Place du XX-Août, 7 - 4000 Liège - Belgium}, Organization = {}, project = {}, Volume = {}, year={2023} } @inproceedings{camps23acai, title={Machine learning for modeling and understanding the Earth system}, author={Gustau Camps-Valls}, pdf = {http://isp.uv.es/slides/gustau_ml4earth_26_07_2023_3h.pdf}, Booktitle = {Summer school, ESSAI/ACAI 2023}, Editor = {}, Address = {Ljubljana, Slovenia}, Organization = {}, Volume = {}, year={2023} } @inproceedings{camps23ibpria, title={AI for Sustainable Earth Sciences}, author={Gustau Camps-Valls}, pdf = {http://isp.uv.es/slides/IBPRIA23_AI4Sustainability_45min.pdf}, Booktitle = {IbPRIA 2023}, Editor = {}, Address = {Alacant}, Organization = {}, Volume = {}, year={2023} } @InProceedings{Camps23jurse, Title = {{Advancing AI for Urban Sustainability}}, Author = {Gustau Camps-Valls}, project = {USMILE,XAIDA,FBBVA,DEEPCUBE,USMILE}, Booktitle = {Joint Urban Remote Sensing Event}, Year = {2023}, url = {http://jurse2023.org/keynotes.html}, Address = {Heraklion Crete, Greece}, Month = {May} } @InProceedings{Camps23esa, Title = {{Causal Inference for Disaster Management}}, Author = {Gustau Camps-Valls}, project = {USMILE,XAIDA,FBBVA,DEEPCUBE}, Booktitle = {Workshop on AI for Disaster Management - ESA philab}, Year = {2023}, pdf = {http://isp.uv.es/slides/causal4disasters.pdf}, Address = {Frascati, Italy}, Month = {May} } @inproceedings{Camps23causalstats, title={Graphs in State-Space Models for Granger Causality in Climate Science}, author={Gustau Camps-Valls}, doi = {}, url={}, Booktitle = {CausalStats23: When Causal Inference meets Statistical Analysis}, Editor = {}, Address = {Paris}, pdf = {http://isp.uv.es/slides/graphEM_causeme_2023.pdf}, Organization = {}, project = {USMILE,SCALE,CAUSEME}, Volume = {}, year={2023} } @InProceedings{Camps23agenda, Title = {{A collective AI agenda for Earth Observation}}, Author = {Gustau Camps-Valls}, project = {USMILE}, Booktitle = {Catalonia AI4EO Day}, Year = {2023}, pdf = {https://www.ieec.cat/content/media/announcements/en/1035}, Address = {Barcelona}, Month = {Feb} } @InProceedings{Camps23dte, Title = {{The role of AI in Digital Twins}}, Author = {Gustau Camps-Valls}, project = {USMILE}, Booktitle = {Winter 2022/2023 Workshop at Lorentz Center}, Year = {2023}, pdf = {http://isp.uv.es/slides/LorentzCenter_Leiden_2023_AI4DTE_v1.pdf}, Address = {Leiden, NL}, Month = {Feb} } @InProceedings{Camps22neurips, Title = {{Physics-aware Machine Learning for Earth Observation}}, Author = {Gustau Camps-Valls}, project = {USMILE}, Booktitle = {NeurIPS 2022 - Workshop on Tackling Climate Change with Machine Learning}, Year = {2022}, pdf = {http://isp.uv.es/slides/2022_PhysicsML_CausalML_40min.pdf}, Address = {New Orleans}, Month = {Dec 2022} } @InProceedings{Camps22poly, Title = {{Advancing AI for modeling and understanding the Earth system}}, Author = {Gustau Camps-Valls}, project = {USMILE}, Booktitle = {Advancing AI for modeling and understanding the Earth system}, Year = {2022}, video = {https://www.youtube.com/watch?v=0YUFVhjrBn0}, pdf = {http://isp.uv.es/slides/E4C_2022_PhysicsML_XAI_Causality_2h_2parts.pdf}, Address = {E4C - Institut Polytechnique de Paris}, Month = {May 2022} } @InProceedings{Camps22imiracli, Title = {{Advancing AI for modeling and understanding the Earth system}}, Author = {Gustau Camps-Valls}, project = {USMILE}, Booktitle = {ETN iMIRACLI - Summer school}, Year = {2022}, pdf = {http://isp.uv.es/slides/gustau_ml4earth_20_09_2022.pdf}, Address = {Stockholm, Sweden}, Month = {September 2022} } @InProceedings{Camps22ituun, Title = {{A collective agenda for AI on the Earth sciences}}, Author = {Gustau Camps-Valls}, project = {SEDAL,USMILE}, Booktitle = {A collective agenda for AI on the Earth sciences - AI and Climate Science}, Year = {2022}, 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}, Address = {Online talk - ITU-UN AI4Good seminar series}, Month = {February 2022} } @InProceedings{Camps21ml4rs, Title = {{Physics-aware machine learning and causality for the Earth sciences}}, Author = {Gustau Camps-Valls}, project = {SEDAL,USMILE}, Booktitle = {ML and Remote Sensing Discussion Group}, Year = {2021}, Address = {Online talk}, Month = {November 2021} } @InProceedings{Camps21kitp, Title = {{Gaussianizing the Earth}}, Author = {Gustau Camps-Valls}, project = {SEDAL,USMILE}, Booktitle = {KITP Conference: Machine Learning for Climate}, Year = {2021}, Address = {Online talk}, pdf = {http://isp.uv.es/slides/kitp2021_rbig_gcamps.pdf}, video = {https://online.kitp.ucsb.edu/online/climate-c21/campsvalls/}, Month = {November 2021} } @InProceedings{Camps21un, Title = {{Machine Learning for Earth and Climate Sciences}}, Author = {Gustau Camps-Valls}, project = {SEDAL,USMILE}, Booktitle = {GIMM: Europe - Side Event. The challenge of GEOAI for Good & GEOAI for a Sustainable Europe}, Year = {2021}, pdf = {http://isp.uv.es/slides/UN_GIMM21_ML4EARTH_15min.pdf}, Address = {Online talk}, Month = {October 2021} } @InProceedings{Camps21phiweek, Title = {{Interpretability and Causality in Earth Sciences (aka "fitting is not enough")}}, Author = {Gustau Camps-Valls}, project = {SEDAL,USMILE}, Booktitle = {ESA Phi-Week Workshop}, Year = {2021}, Address = {Online talk}, pdf = {http://isp.uv.es/slides/ESA_PHIWEEK_2021_XAI_Causality_15min.pdf}, Month = {September 2021} } @InProceedings{Camps21ccai, Title = {{Physics-aware Machine Learning for the Earth sciences}}, Author = {Gustau Camps-Valls}, project = {SEDAL,USMILE}, Booktitle = {Climate Change AI - Machine Learning for Earth and Climate Sciences}, Year = {2021}, Address = {Online talk, https://www.climatechange.ai/}, pdf = {https://www.youtube.com/watch?v=-dpA75KU8Pg}, Month = {September 2021} } @InProceedings{Camps21maclean, Title = {{Advances in Machine Learning for Modelling and Understanding in Earth Sciences}}, Author = {Gustau Camps-Valls}, project = {USMILE}, Booktitle = {MACLEAN workshop}, Year = {2021}, Address = {Online talk}, pdf = {http://isp.uv.es/slides/MACLEAN21_PhysicsMLinterplay_XAI_Causality_1h.pdf}, Month = {September 2021} } @InProceedings{Camps21dl_grssitaly, Title = {{Advances in Machine Learning for Modelling and Understanding in Earth Sciences}}, Author = {Gustau Camps-Valls}, project = {USMILE}, Booktitle = {IEEE GRSS - Italian chapter}, Year = {2021}, Address = {Online talk, Italy}, url = {https://www.youtube.com/watch?v=8262BYuWVUU}, Month = {Jan 21 2021} } @InProceedings{Camps21_uthz, Title = {{Living in the Physics and Machine Learning Interplay for the Earth Sciences}}, Author = {Gustau Camps-Valls}, project = {USMILE}, Booktitle = {UTHZ Seminar series}, Year = {2021}, Address = {Online talk, Zurich}, url = {}, Month = {May 2021} } @InProceedings{Camps21_oceanix, Title = {{Physics-aware Interpretable Machine learning in the Earth sciences}}, Author = {Gustau Camps-Valls}, project = {USMILE}, Booktitle = {OCEANIX Seminar series}, Year = {2021}, Address = {Online talk, France}, url = {https://www.youtube.com/watch?v=PLuT0Yznvhg}, Month = {May 19th 2021} } @InProceedings{Camps21_mppl, Title = {{Physics Aware Machine Learning for the Earth Sciences}}, Author = {Gustau Camps-Valls}, project = {USMILE}, Booktitle = {MPML Seminar series - ELLIS seminar}, Year = {2021}, Address = {Online talk, Lisboa}, url = {https://mpml.tecnico.ulisboa.pt/seminars?recent}, Month = {May 28th 2021} } @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}, Booktitle = {BiDS Big Data from Space}, Address = {Online Everywhere, https://www.bigdatafromspace2021.org/}, month = {May}, year={2021}, 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}, Booktitle = {The ESA Phi-week 2020}, Year = {2020}, video = {https://livestream.com/esa/phiweek2020/videos/211492628}, pdf = {http://isp.uv.es/slides/PHIWEEK20_PhysicsMLinterplay.pdf}, Address = {ESA-ESRIN, Italy}, project = {SEDAL}, Month = {28-30 September 2020.} } @inproceedings{CampsValls20physicsaware, title = {Living in the Physics -- Machine Learning Interplay for Earth Observation}, doi = {}, booktitle = {AAAI Fall Series 2020 Symposium on Physics-guided AI for Accelerating Scientific Discovery}, 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.}, month = {}, year = {2020}, note = {}, pages = {}, Address = {}, project = {SEDAL,KERMES}, } @inproceedings{CampsValls2020igarss_hybridxai, title = {Advancing Deep Learning For Earth Sciences: From Hybrid Modeling To Interpretability}, doi = {}, booktitle = {{IGARSS} 2020 - 2020 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, author = {Camps-Valls, G. and Reichstein, M. and Zhu, Z. and Tuia, D.}, month = {Jul}, year = {2020}, video = {http://isp.uv.es/videos/AdvancesDL-2020-07-09_11-38-45.mkv}, pdf = {http://isp.uv.es/slides/AdvancesDL.pdf}, project = {SEDAL}, Address = {Waikoloa, Hawaii, USA} } @InProceedings{johnson2020mlse, title={{Gaussianization for Earth - An Information Theoretic Perspective}}, author={Emmanuel J. Johnson}, 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}, month = {Dec}, year={2020}, video={}, } @InProceedings{campsvalls2020mlse, title={{How to Surf the Physics and Machine Learning Interplay}}, author={Gustau Camps-Valls}, Booktitle = {Machine Learning for Science and Engineering (MLSE) 2020}, Address = {Online Everywhere, https://www.mlse2020.com/earth}, month = {Dec}, year={2020}, 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}, Booktitle = {InGARSS 2020}, Address = {Online Everywhere, https://www.ingarss2020.org/}, month = {Dec}, year={2020}, 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}, Booktitle = {The ESA Phi-week 2020}, Year = {2020}, video = {https://livestream.com/esa/phiweek2020/videos/211492628}, pdf = {http://isp.uv.es/slides/PHIWEEK20_PhysicsMLinterplay.pdf}, Address = {ESA-ESRIN, Italy}, project = {SEDAL}, Month = {28-30 September 2020.} } @InProceedings{campsvalls2020dtu, title={{Advances in Machine Learning for Earth Sciences}}, author={Gustau Camps-Valls}, Booktitle = {Sustainable AI in practice 2020}, pdf = {http://isp.uv.es/slides/AdvancesML4EO_20min.pdf}, Address = {Online Everywhere, https://www.conferencemanager.dk/sustainableai/conference/}, month = {Dec}, year={2020}, } @inproceedings{CampsValls20physicsaware, title = {Living in the Physics -- Machine Learning Interplay for Earth Observation}, doi = {}, booktitle = {AAAI Fall Series 2020 Symposium on Physics-guided AI for Accelerating Scientific Discovery}, 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.}, month = {}, year = {2020}, note = {}, pages = {}, Address = {}, project = {SEDAL,KERMES}, } @inproceedings{CampsValls2020igarss_hybridxai, title = {Advancing Deep Learning For Earth Sciences: From Hybrid Modeling To Interpretability}, doi = {}, booktitle = {{IGARSS} 2020 - 2020 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, author = {Camps-Valls, G. and Reichstein, M. and Zhu, Z. and Tuia, D.}, month = {Jul}, year = {2020}, video = {http://isp.uv.es/videos/AdvancesDL-2020-07-09_11-38-45.mkv}, pdf = {http://isp.uv.es/slides/AdvancesDL.pdf}, project = {SEDAL}, Address = {Waikoloa, Hawaii, USA} } @InProceedings{Camps20UZH, Title = {{Advances in Machine Learning for Earth Observation}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {Dept Geography -- University of Zurich, Switzerland}, Year = {2020}, Address = {Dept Geography -- University of Zurich, Switzerland}, URL = {https://www.geo.uzh.ch/en/units/rsl/events.html}, Month = {April 7, 2020} } @InProceedings{Camps20UGent, Title = {{Advances in Machine Learning for Earth Sciences}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {UGent Data Science Seminar -- University of Ghent, Belgium}, Year = {2020}, Address = {UGent Data Science Seminar -- University of Ghent, Belgium}, URL = {https://www.meetup.com/UgentDSS/events/268501329/}, Month = {February 11, 2020} } @InProceedings{Camps20BSC, Title = {{Advances in Machine learning for Modelling and Understanding in Earth Sciences}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {Severo Ochoa Research Seminars -- Barcelona Supercomputing Center (BSC), Barcelona}, Year = {2020}, Address = {Severo Ochoa Research Seminars -- Barcelona Supercomputing Center (BSC), Barcelona}, URL = {https://www.bsc.es/research-and-development/research-seminars/sors-advances-machine-learning-modelling-and-understanding-earth-sciences}, doi = {https://upcommons.upc.edu/handle/2117/330962}, Month = {1/Jan/2020} } @InProceedings{Camps19Berlin, Title = {{Multivariate Gaussianization: Information Bottleneck and Flows}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {Technical University of Berlin, Germany}, Year = {2019}, Address = {Technical University of Berlin, Germany}, Month = {29 October 2019} } @InProceedings{Moreno19Google, Title = {{HISTARFM: High spatial resolution land products from Landsat reflectance time series in GEE}}, Author = {Álvaro Moreno}, Booktitle = {eo for Good 2019, Google, SF}, Year = {2019}, Address = {Geo for Good 2019, Google, SF}, Month = {18 September 2019} } @InProceedings{Camps19Wageningen, Title = {{Physics-aware Machine Learning for Earth Observation}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, 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}, Year = {2019}, Address = {Wageningen University and Research, Wageningen, The Netherlands}, Month = {20 September 2019} } @InProceedings{Camps19Kolkata, Title = {{Towards Physics-aware Machine Learning for Earth Observation}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {Indian Statistical Institute, Kalkota, India}, Year = {2019}, Address = {Indian Statistical Institute, Kalkota, India}, Month = {2 July 2019} } @InProceedings{Camps19Bangalore, Title = {{Physics-aware Machine Learning and Causal Inferece in Earth and Climate Sciences}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {ISI, Bangalore, India}, Year = {2019}, Address = {ISI, Bangalore, India}, Month = {2 July 2019} } @InProceedings{Camps19Ahmedabad, Title = {{Advances in Machine Learning for Earth Observation}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {CEPT, Ahmedabad, India}, Year = {2019}, Address = {CEPT, Ahmedabad, India}, Month = {27 June 2019} } @InProceedings{Camps19Mumbai, Title = {{New Machine Learning for Earth and Climate Sciences}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {ISI, Mumbai, India}, Year = {2019}, Address = {ISI, Mumbai, India}, Month = {25 June 2019} } @InProceedings{Camps19LPS, Title = {{Revisiting global teleconnections of ENSO over soils and vegetation}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {ESA Living Planet Symposium, 2019}, Year = {2019}, Address = {ESA Living Planet Symposium, 2019}, Month = {15 May 2019} } @InProceedings{Camps19EGU, Title = {{Learning nonlinear feature representations from Earth data}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {EGU}, Year = {2019}, Address = {EGU 2019}, Month = {3 Apr 2019} } @InProceedings{Camps19BIDS, Title = {{Advances in Machine Learning for Earth Observation}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {}, Year = {2019}, Address = {ESA BIDs 2019}, Month = {20 Feb 2019} } @InProceedings{Camps19Cavanilles, Title = {{Machine Learning for Earth Observation}}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Booktitle = {Cavanilles Institute of Biodiversity and Evolutionary Biology}, Year = {2019}, Address = {Cavanilles Institute of Biodiversity and Evolutionary Biology, Valencia}, Month = {21 March 2019} } @InProceedings{Piles19Lband, Title = {{Copernicus Imaging Microwave Radiometer (CIMR) Land Science and Products}}, Author = {Maria Piles}, Booktitle = {Low-Frequency Microwave Continuity Workshop - JPL, USA}, Year = {2019}, Address = {Low-Frequency Microwave Continuity Workshop - JPL, USA}, Month = {6-7 March 2019} } @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>}, Booktitle = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy}, Year = {2018}, Address = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy}, Month = {12-16 November 2018} } @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}, Booktitle = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy}, Year = {2018}, Address = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy}, Month = {12-16 November 2018} } @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}, Booktitle = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy}, Year = {2018}, Address = {The Phi-week - EO Open Science and Future EO - ESA-ESRIN, Italy}, Month = {12-16 November 2018} } @InProceedings{CampsValls18oxfordworkshop, Title = {Machine Learning for Climate: 15 ways to leave your lover}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2018}, Address = {Machine Learning and Climate Workshop 2018 - Oxford, UK}, month = {October, 31st - November 1st}, Url = {} } @InProceedings{CampsValls18bristol, Title = {From sparsity to Gaussianization in neural networks}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2018}, Address = {Department of Engineering Mathematics, University of Bristol, UK}, month = {October, 30th}, pdf = {http://isp.uv.es/slides/}, Url = {} } @InProceedings{CampsValls18imperial, Title = {Physics-driven Gaussian Processes for Earth Observation}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2018}, Address = {Data Science Institute, Grantham Institute, Imperial College London, UK}, month = {October, 29th}, pdf = {http://isp.uv.es/slides/imperial2018_gcamps_3x4.pdf}, Url = {http://www3.imperial.ac.uk/newsandeventspggrp/imperialcollege/engineering/datascienceinstitute/eventssummary/event_19-10-2018-13-7-58} } @InProceedings{CampsValls18kic, Title = {Machine learning for Earth Observation}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2018}, Address = {Climathon KIC. Tackling Water Innovation Challenges. Role of Copernicus EO products. Universitat de València}, month = {October, 26th}, Url = {https://climathon.climate-kic.org/en/burjassot} } @InProceedings{CampsValls18dg, Title = {Neural networks, Gaussianization, and information distillation}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2018}, Address = {Digital Globe, Denver, US}, month = {September}, pdf = {http://isp.uv.es/slides/dg_gcamps_2018.pdf}, Url = {} } @InProceedings{CampsValls18dlabs, Title = {Unsupervised Deep Networks: Sparsity, Gaussianization, and the information bottleneck}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2018}, Address = {Descartes Labs, Santa Fe, US}, month = {September}, pdf = {http://isp.uv.es/slides/dlabs_gcamps_2018.pdf}, Url = {} } @InProceedings{CampsValls18ci, Title = {Unsupervised Deep Feature Learning with Sparse Codes and Gaussianization}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2018}, Address = {Climate Informatics 2018, NCAR, Boulder, US}, month = {September}, pdf = {http://isp.uv.es/slides/ci_gcamps_2018.pdf}, Url = {} } @InProceedings{CampsValls18csu, Title = {Unsupervised Deep Networks: Neural networks, Gaussianization, and information distillation}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2018}, Address = {Maths department, Colorado State University, Fort Collins, US}, month = {September}, pdf = {http://isp.uv.es/slides/csu_gcamps_2018.pdf}, Url = {} } @InProceedings{CampsValls18ox, Title = {Gaussianization, Independence, Fairness}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2018}, Address = {Oxford, Dep. Statistics}, month = {July}, pdf = {http://isp.uv.es/slides/oxford2018_gcamps.pdf}, Url = {} } @InProceedings{CampsValls17DLcampinas, Title = {Machine Learning in Remote Sensing}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2017}, Address = {IEEE Distinguished Lecturer - Campinas, Brasil}, month = {November}, pdf = {http://isp.uv.es/slides/DL_gcamps.pdf}, Url = {} } @InProceedings{CampsValls17DLrio, Title = {Advanced Machine Learning for Biophysical Parameter Retrieval}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2017}, Address = {IEEE Distinguished Lecturer - Rio de Janeiro, Brasil}, month = {November}, Url = {} } @InProceedings{CampsValls17wageningen, Title = {Open problems in remote sensing}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2017}, Address = {Causality in Complex Systems - Amsterdam Soesterberg, The Netherlands}, month = {27-30 June}, Url = {} } @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}, Booktitle = {American Geophysical Union (AGU) Fall meeting 2017}, Year = {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}, Booktitle = {American Geophysical Union (AGU) Fall meeting 2017}, Year = {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}, Booktitle = {American Geophysical Union (AGU) Fall meeting 2017}, Year = {2017}, Address = {New Orleans, USA, 11-15 December 2017}, } @InProceedings{CampsValls17scia, Title = {Physics-Aware Gaussian Processes for Earth Observation}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2017}, Address = {SCIA17 - Troms\o, Norway}, month = {12-14 June}, pdf = {http://isp.uv.es/slides/scia2017_gcamps_v2_16x9_light.pdf}, Url = {https://link.springer.com/chapter/10.1007/978-3-319-59129-2_18} } @InProceedings{CampsValls17baci, Title = {Physics-aware machine learning for biophysical parameter retrieval}, Author = {Gustau Camps-Valls}, project = {SEDAL}, Year = {2017}, Address = {BACI meeting - Jena, Germany}, month = {19-21 June}, Url = {http://baci-h2020.eu} } @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}, pdf = {http://isp.uv.es/slides/egu2017_gcamps_v2_4x3}, Address = {EGU17 - Vienna, Austria, 23-28 April 2017} } @inproceedings{CampsValls17lfmearsl, Title = {Latent Force Models for Model-Data Integration in Vegetation Monitoring}, Author = {Martino, L. and Luengo, D. and Camps-Valls, G.}, address = {10th EARSeL SIG Imaging Spectroscopy Workshop}, Year = {2017}, Address = {EARSeL17 - 19-21 April 2017, University of Zurich (Switzerland)} } @inproceedings{CampsValls16cms, author = {Camps-Valls, G.}, title = {Monitoring Vegetation From Space with Gaussian Processes and Latent Force Models}, address = {9th International Conference on Computational and Methodological Statistics, CMStatistics, Sevilla, Spain}, pdf = {http://isp.uv.es/slides/cmstatistics2016_gcamps_v1.pdf}, year = {2016}, month = {December}, } @inproceedings{CampsValls16tumdlr, author = {Camps-Valls, G.}, title = {Machine learning for Remote Sensing}, address = {TUM-DLR Summer School, Munich, Germany}, url = {}, year = {2016} } @inproceedings{CampsValls16ist, author = {Camps-Valls, G.}, title = {Semisupervised manifold alignment with kernels}, address = {Institute of Science and Technology Austria}, url = {}, year = {2016} } @inproceedings{CampsValls16uam, author = {Camps-Valls, G.}, title = {Domain Adaptation with the Kernel Manifold Alignment}, 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}, year = {2016} } @inproceedings{CampsValls15cablab, author = {Camps-Valls, G.}, title = {The role of modern machine learning in Earth observation}, year = {2015}, address = {CABLAB: Exploring the Earth System Data Cube, MPI-Biogeochemistry, Jena, Germany}, url = {http://earthsystemdatacube.net/} } @inproceedings{CampsValls15cvpr, author = {Camps-Valls, G.}, title = {Monitoring Earth Climate Variables with Statistical Inference}, year = {2015}, pdf = {http://isp.uv.es/slides/cvpr2015_gcamps_v2_web.pdf}, address = {CVPR EarthVision Workshop, Boston, USA}, url = {http://www.grss-ieee.org/earthvision2015/} } @inproceedings{CampsValls15ecml, author = {Camps-Valls, G.}, title = {Learning Structures in Earth Observation Data with Gaussian Processes}, year = {2015}, pdf = {http://isp.uv.es/slides/ecml2015_gcamps_v1.pdf}, address = {ECML Time series Workshop, Porto, Portugal}, url = {http://ama.liglab.fr/aaltd_ecml2015/} } @inproceedings{CampsValls15statlearn, author = {Camps-Valls, G.}, title = {Kernel manifold alignment}, year = {2015}, address = {StatLearn conference, Grenoble, France}, url = {http://statlearn.sfds.asso.fr/statlearn15/} } @inproceedings{Malo15, author = {J. Malo}, title = {Visual Illusions: Sometimes it is better not to see the truth!}, year = {2015}, address = {IAPR IbPRIA 2015, Santiago de Compostela, Spain} } @inproceedings{Malo15b, author = {J. Malo and E. Simoncelli.}, title = {Geometrical and Statistical Properties of Vision Models obtained via MAximum Differentation}, year = {2015}, address = {SPIE Human Vision and Electronic Imaging 15', San Francisco, USA} } @inproceedings{CampsValls14esa, author = {Camps-Valls, G.}, title = {Hyperspectral image processing}, 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, author = {Camps-Valls, G.}, title = {Advances in Kernel Methods for Remote Sensing Image Processing}, year = {2014}, pdf = {http://isp.uv.es/slides/trabzon2014_gcamps.pdf}, address = {Keynote speaker at the SIU conference, Trabzon, Turkey} } @inproceedings{CampsValls14whisperstutorial, author = {Camps-Valls, G.}, title = {Kernel methods for hyperspectral image processing}, year = {2014}, address = {6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. 24-27 June, 2014, Lausanne, Switzerland} } @inproceedings{Malo14, author = {J. Malo}, title = {Computational Visual Neuroscience: New Perspectives from Statistical Learning}, year = {2014}, address = {IEEE Intercon 14, Arequipa, Perú} } @inproceedings{CampsValls13ima, author = {Camps-Valls, G.}, title = {Back to the 60s: Kernel Methods to Deep Neural Networks in Remote Sensing Data Processing}, 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, author = {Camps-Valls, G.}, title = {Recent machine learning developments for remote sensing data processing}, year = {2013}, address = {MPI for Biogeochemistry, Jena, Germany}, url = {https://www.bgc-jena.mpg.de/} } @inproceedings{CampsValls13nobim, author = {Camps-Valls, G.}, title = {Advances in Kernel Image Processing}, year = {2013}, address = {Keynote speaker at the Conference on Image Processing and Pattern Recognition, NOBIM. Oslo, Norway}, url = {http://www.nobim.no/} } @inproceedings{Laparra13, author = {V. Laparra and J. Malo}, title = {Phase in images: a summary of statistical facts}, year = {2013}, address = {Redwood Center for Theoretical Neuroscience, Berkeley Univ., USA} } @inproceedings{Malo13, author = {J. Malo and W. Kong and E. Simoncelli}, title = {Fitting multi-layer models using MAximum Differentation (MAD)}, year = {2013}, address = {MIT Comp. Sci. Artif. Intell., Boston, USA} } @inproceedings{CampsValls11cvc, author = {Camps-Valls, G.}, title = {Iterative Gaussianization Framework for Image Processing}, year = {2012}, address = {Computer Vision Center, Barcelona}, url = {http://www.cvc.uab.es/?m=201101} } @inproceedings{CampsValls12bourn, author = {Camps-Valls, G.}, title = {Extended Kernel Methods}, year = {2012}, address = {Computing and Informatics Seminars, Univ. Bournemouth, UK}, url = {https://www1.bournemouth.ac.uk/} } @inproceedings{CampsValls12cvc, author = {Camps-Valls, G.}, title = {Kernel Signal-To-Noise Ratio for Machine Learning}, year = {2012}, address = {Computer Vision Center, Barcelona}, url = {http://www.cvc.uab.es/?p=406} } @inproceedings{CampsValls12epfl, author = {Camps-Valls, G.}, title = {Statistical Learning in Earth Monitoring}, year = {2012}, address = {Environmental Engineering Series, EPFL, Lausanne, Switzerland}, url = {http://memento.epfl.ch/event/statistical-learning-in-earth-monitoring/} } @inproceedings{CampsValls12nice, author = {Camps-Valls, G.}, title = {Multivariate Gaussianization for data processing}, 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, author = {Camps-Valls, G.}, title = {SVM for remote sensing image classification: tricks of the trade}, 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, author = {Camps-Valls, G.}, title = {Iterative Gaussianization Framework}, 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, author = {Camps-Valls, G.}, title = {Natural Image Relations in Denoising}, year = {2009}, address = {MPI for Biological Cybernetics, Tübingen, Germany}, url = {http://www.jmlr.org/papers/volume11/laparra10a/laparra10a.pdf} } @inproceedings{CampsValls09tubingen2, author = {Camps-Valls, G.}, title = {Natural Image Relations in Kernel-based Image Denoising}, year = {2009}, address = {Max Planck Institute for Biological Cybernetics, Tübingen, Germany}, url = {http://www.jmlr.org/papers/volume11/laparra10a/laparra10a.pdf} } @inproceedings{CampsValls08unil, author = {Camps-Valls, G.}, title = {Kernel Classifiers in Remote Sensing}, year = {2008}, address = {University of Lausanne, Switzerland, 2008}, url = {http://www.unil.ch/central/en/home.html} } @inproceedings{Malo08, author = {V. Laparra and J. Malo}, title = {Color and Luminance Discrimination by Non-Linear PCA}, year = {2008}, address = {Computational Vision and Neuroscience symposium} } @inproceedings{Malo08b, author = {V. Laparra and J. Malo}, title = {Masking-like Non-Linearities from Non-linear PCA}, year = {2008}, address = {GRC Conference: Sensory Coding and The Natural Environment} } @inproceedings{CampsValls07itn, author = {Camps-Valls, G.}, title = {Kernel-based Data Fusion}, year = {2007}, address = {ITN network: HYPER-I-NET School on Hyperspectral Imaging. Cáceres, Spain}, url = {http://hyperinet.multimediacampus.it/images/Camps.pdf} } @inproceedings{CampsValls06sbc, author = {Camps-Valls, G.}, title = {Kernel methods in Bioinformatics}, year = {2006}, address = {Stockholm Bioinformatics Center (SBC). Stockholm, Sweden}, url = {https://www.sbc.su.se/seminars/sem2006.html} } @inproceedings{CampsValls05mpi, author = {Camps-Valls, G.}, title = {Kernel Methods in Remote Sensing: Introduction, Applications and Research Opportunities}, year = {2005}, address = {Max Planck Institute (Tübingen, Germany)} } @inproceedings{Malo04, author = {J. Malo and J. Gutiérrez and J. Rovira}, title = {Perturbation Analysis of the Changes in V1 Receptive Fields due to Context}, year = {2004}, address = {Gordon Research Conference: Sensory Coding and the Natural Environment. Oxford, UK} }
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