Freddie Kalaitzis
Freddie Kalaitzis
Applied Research Scientist, Element AI
Verified email at - Homepage
Cited by
Cited by
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
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
The Bigraphical Lasso
A Kalaitzis, J Lafferty, ND Lawrence, S Zhou
Proceedings of The 30th International Conference on Machine Learning 28 (3 …, 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
Flexible sampling of discrete data correlations without the marginal distributions
A Kalaitzis, R Silva
arXiv:1306.2685 [stat.ML], 2013
Image inpainting with Gaussian processes
A Kalaitzis
Master of Science Thesis, School of Informatics, University of Edinburgh, 2009
gptk: Gaussian processes tool-kit
A Kalaitzis, A Honkela, P Gao, ND Lawrence
URL http://CRAN. R-project. org/package= gptk, R package version 1, 2013
Predicting Gaming Related Properties from Twitter Profiles
A Kalaitzis, MI Gorinova, Y Lewenberg, B Yoram, F Michael, D Carignan, ...
IEEE International Conference on Big Data Computing Service and Applications, 2016
Bayesian inference via projections
R Silva, A Kalaitzis
Statistics and Computing 25 (4), 739-753, 2015
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
Predicting gaming related properties from twitter accounts
MI Gorinova, Y Lewenberg, Y Bachrach, A Kalaitzis, M Fagan, D Carignan, ...
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence …, 2016
Online joint classification and anomaly detection via sparse coding
A Kalaitzis, JDB Nelson
2014 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2014
Learning with structured covariance matrices in linear Gaussian models
A Kalaitzis
PhD thesis, Department of Computer Science, 2013
Monte-Carlo methods for Computer Vision
A Kalaitzis
Escuela de Informática, Universidad de Edimburgo, UK, 2009
Multi-Image Super-Resolution for Remote Sensing Using Deep Recurrent Networks
M Rifat Arefin, V Michalski, PL St-Charles, A Kalaitzis, S Kim, SE Kahou, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics\& Losses
A Jungbluth, X Gitiaux, SA Maloney, C Shneider, PJ Wright, A Kalaitzis, ...
arXiv preprint arXiv:1911.01490, 2019
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties
X Gitiaux, SA Maloney, A Jungbluth, C Shneider, PJ Wright, AG Baydin, ...
arXiv preprint arXiv:1911.01486, 2019
Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder
AB Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atılım ...
arXiv preprint arXiv:1910.03085, 2019
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
Discrete Data Correlations
A Kalaitzis, R Silva
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