Christos Louizos
TitleCited byYear
Bayesian compression for deep learning
C Louizos, K Ullrich, M Welling
Advances in Neural Information Processing Systems, 3288-3298, 2017
1522017
The variational fair autoencoder
C Louizos, K Swersky, Y Li, M Welling, R Zemel
Proceedings of the 4th International Conference on Learning Representations …, 2015
1512015
Multiplicative normalizing flows for variational bayesian neural networks
C Louizos, M Welling
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1132017
Learning Sparse Neural Networks through Regularization
C Louizos, M Welling, DP Kingma
Proceedings of the 6th International Conference on Learning Representations …, 2017
902017
Structured and efficient variational deep learning with matrix gaussian posteriors
C Louizos, M Welling
International Conference on Machine Learning, 1708-1716, 2016
712016
Causal effect inference with deep latent-variable models
C Louizos, U Shalit, JM Mooij, D Sontag, R Zemel, M Welling
Advances in Neural Information Processing Systems, 6446-6456, 2017
652017
Argument extraction from news, blogs, and social media
T Goudas, C Louizos, G Petasis, V Karkaletsis
Hellenic Conference on Artificial Intelligence, 287-299, 2014
572014
Relaxed quantization for discretized neural networks
C Louizos, M Reisser, T Blankevoort, E Gavves, M Welling
Proceedings of the 7th International Conference on Learning Representations …, 2018
112018
Smart regularization of deep architectures
C Louizos
Master's thesis, University of Amsterdam, 2015
112015
Argument extraction from news, blogs, and the social web
T Goudas, C Louizos, G Petasis, V Karkaletsis
International Journal on Artificial Intelligence Tools 24 (05), 1540024, 2015
102015
The Functional Neural Process
C Louizos, X Shi, K Schutte, M Welling
arXiv preprint arXiv:1906.08324, 2019
2019
DIVA: Domain Invariant Variational Autoencoders
M Ilse, JM Tomczak, C Louizos, M Welling
arXiv preprint arXiv:1905.10427, 2019
2019
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Articles 1–12