Freddie Kalaitzis

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Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
Julien CornebiseHon. Associate Professor, University College LondonVerified email at ucl.ac.uk
Michel DeudonEcole PolytechniqueVerified email at polytechnique.edu
Samira Ebrahimi KahouAssociate Professor, École de technologie supérieure/Mila/Canada CIFAR AI ChairVerified email at etsmtl.ca
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Vincent MichalskiPh.D. candidate at Université de MontréalVerified email at umontreal.ca
Md Rifat ArefinMila - Quebec AI InstituteVerified email at umontreal.ca
Christian Schroeder de WittUniversity of OxfordVerified email at robots.ox.ac.uk
Anna JungbluthEuropean Space AgencyVerified email at esa.int
Matthew ChantryEuropean Centre for Medium-Range Weather ForecastsVerified email at ecmwf.int
Daniele De MartiniDepartmental Lecturer in Mobile Robotics, Oxford Robotics InstituteVerified email at robots.ox.ac.uk
Duncan Watson-ParrisUniversity of California San DiegoVerified email at ucsd.edu
Raul Ramos-PollanProfessor of Computer Science, Universidad de AntioquiaVerified email at udea.edu.co
Israel GoytomMilaVerified email at mila.quebec
Valentina ZantedeschiServiceNow, Laval UniversityVerified email at servicenow.com
Kris SankaranAssistant Professor of Statistics, University of Wisconsin - MadisonVerified email at wisc.edu
Atılım Güneş BaydinUniversity of OxfordVerified email at robots.ox.ac.uk
Piotr BilinskiUniversity of OxfordVerified email at robots.ox.ac.uk
Catherine TongUniversity of OxfordVerified email at cs.ox.ac.uk

Freddie Kalaitzis

Other namesAlfredo Kalaitzis, Alfredo A. Kalaitzis

Senior Research Fellow, University of Oxford

Verified email at cs.ox.ac.uk - Homepage

Super-Resolution Earth Observation Remote Sensing Computational Statistics AI for Social Good


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A simple approach to ranking differentially expressed gene expression time courses through Gaussian process regression A Kalaitzis, ND Lawrence BMC bioinformatics 12 (1), 180, 2011	117	2011
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery M Deudon, A Kalaitzis, I Goytom, MR Arefin, Z Lin, K Sankaran, ... arXiv preprint arXiv:2002.06460, 2020	111	2020
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks MR Arefin, V Michalski, PL St-Charles, A Kalaitzis, S Kim, SE Kahou, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	56	2020
The Bigraphical Lasso A Kalaitzis, J Lafferty, ND Lawrence, S Zhou Proceedings of The 30th International Conference on Machine Learning 28 (3 …, 2013	52	2013
A large-scale crowd-sourced analysis of abuse against women journalists and politicians on Twitter L Delisle, A Kalaitzis, K Majewski, A de Berker, M Marin, J Cornebise NeurIPS 2018 AI for Social Good workshop, 2018	37*	2018
Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models A Kalaitzis, ND Lawrence Proceedings of the 29th International Conference on Machine Learning, 209–216, 2012	37*	2012
Open high-resolution satellite imagery: The worldstrat dataset–with application to super-resolution J Cornebise, I Oršolić, F Kalaitzis Advances in Neural Information Processing Systems 35, 25979-25991, 2022	32	2022
Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency losses and its effect on building delineation MT Razzak, G Mateo-García, G Lecuyer, L Gómez-Chova, Y Gal, ... ISPRS Journal of Photogrammetry and Remote Sensing 195, 1-13, 2023	26	2023
RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery CS de Witt, C Tong, V Zantedeschi, D De Martini, F Kalaitzis, M Chantry, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14902 …, 2021	25*	2021
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery I Laradji, P Rodriguez, F Kalaitzis, D Vazquez, R Young, E Davey, ... arXiv preprint arXiv:2011.07369, 2020	21	2020
On Transfer Learning for Building Damage Assessment from Satellite Imagery in Emergency Contexts I Bouchard, MÈ Rancourt, D Aloise, F Kalaitzis Remote Sensing 14 (11), 2532, 2022	15	2022
Prediction of GNSS Phase Scintillations: A Machine Learning Approach K Lamb, G Malhotra, A Vlontzos, E Wagstaff, AG Baydin, A Bhiwandiwalla, ... arXiv preprint arXiv:1910.01570, 2019	12	2019
Flexible sampling of discrete data correlations without the marginal distributions A Kalaitzis, R Silva Advances in Neural Information Processing Systems 26, 2517-2525, 2013	12	2013
gptk: Gaussian processes tool-kit AA Kalaitzis, P Gao, A Honkela, ND Lawrence	11	2010
Predicting gaming related properties from twitter profiles A Kalaitzis, MI Gorinova, Y Lewenberg, Y Bachrach, M Fagan, D Carignan, ... 2016 IEEE Second International Conference on Big Data Computing Service and …, 2016	8*	2016
Image inpainting with Gaussian processes A Kalaitzis Master of Science Thesis, School of Informatics, University of Edinburgh, 2009	8	2009
Orbit to ground framework to decode and predict biosignature patterns from terrestrial analogues K Warren-Rhodes, N Cabrol, M Phillips, C Tebes, F Kalaitzis, NW Hinman, ... Nature Astronomy, 2023	7	2023
Bayesian inference via projections R Silva, A Kalaitzis Statistics and Computing 25, 739-753, 2015	6	2015
Single Image Super-Resolution with Uncertainty Estimation for Lunar Satellite Images JI Delgado-Centeno, P Harder, B Moseley, VT Bickel, S Ganju, F Kalaitzis, ...	5	2021
Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion D Garcia, G Mateo-Garcia, H Bernhardt, R Hagensieker, IGL Francos, ... arXiv preprint arXiv:2011.07584, 2020	4	2020

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