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Picture for Alfredo Kalaitzis

Alfredo Kalaitzis

University of Sheffield

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery


Feb 15, 2020
Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E. Kahou, Julien Cornebise, Yoshua Bengio

* 15 pages, 5 figures 

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Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses


Nov 04, 2019
Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atılım Güneş Baydin, Yarin Gal, Andrés Muñoz-Jaramillo


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Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties


Nov 04, 2019
Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atılım Güneş Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo


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Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder


Oct 04, 2019
Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atılım Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt

* Four first authors contributed equally; Paper accepted in Machine Learning for the Physical Sciences workshop of NeurIPS 2019; Camera Ready Version to Follow 

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Prediction of GNSS Phase Scintillations: A Machine Learning Approach


Oct 03, 2019
Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atılım Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt

* First 4 authors contributed equally Paper accepted in Machine Learning for the Physical Sciences workshop of NeurIPS 2019 Camera Ready Version to Follow 

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A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter


Jan 31, 2019
Laure Delisle, Alfredo Kalaitzis, Krzysztof Majewski, Archy de Berker, Milena Marin, Julien Cornebise

* Workshop on AI for Social Good, NeurIPS 2018 

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Flexible sampling of discrete data correlations without the marginal distributions


Nov 14, 2013
Alfredo Kalaitzis, Ricardo Silva

* An overhauled version of the experimental section moved to the main paper. Old experimental section moved to supplementary material 

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Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models


Jun 18, 2012
Alfredo Kalaitzis, Neil Lawrence

* ICML2012 

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