Christos Louizos
Christos Louizos
Qualcomm AI Research
Verified email at qti.qualcomm.com - Homepage
Title
Cited by
Cited by
Year
Learning Sparse Neural Networks through Regularization
C Louizos, M Welling, DP Kingma
Proceedings of the 6th International Conference on Learning Representations …, 2017
2572017
Bayesian compression for deep learning
C Louizos, K Ullrich, M Welling
Advances in neural information processing systems, 3288-3298, 2017
2402017
The variational fair autoencoder
C Louizos, K Swersky, Y Li, M Welling, R Zemel
Proceedings of the 4th International Conference on Learning Representations …, 2015
2332015
Multiplicative normalizing flows for variational bayesian neural networks
C Louizos, M Welling
arXiv preprint arXiv:1703.01961, 2017
1842017
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
1332017
Structured and efficient variational deep learning with matrix gaussian posteriors
C Louizos, M Welling
International Conference on Machine Learning, 1708-1716, 2016
1202016
Argument extraction from news, blogs, and social media
T Goudas, C Louizos, G Petasis, V Karkaletsis
Hellenic Conference on Artificial Intelligence, 287-299, 2014
732014
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
462018
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
152015
Smart regularization of deep architectures
C Louizos
Master's thesis, University of Amsterdam, 2015
122015
The functional neural process
C Louizos, X Shi, K Schutte, M Welling
Advances in Neural Information Processing Systems, 8746-8757, 2019
112019
Diva: Domain invariant variational autoencoders
M Ilse, JM Tomczak, C Louizos, M Welling
arXiv preprint arXiv:1905.10427, 2019
92019
Up or Down? Adaptive Rounding for Post-Training Quantization
M Nagel, RA Amjad, M van Baalen, C Louizos, T Blankevoort
arXiv preprint arXiv:2004.10568, 2020
22020
Gradient Regularization for Quantization Robustness
M Alizadeh, A Behboodi, M van Baalen, C Louizos, T Blankevoort, ...
arXiv preprint arXiv:2002.07520, 2020
22020
Federated Learning of User Authentication Models
H Hosseini, S Yun, H Park, C Louizos, J Soriaga, M Welling
arXiv preprint arXiv:2007.04618, 2020
2020
Bayesian Bits: Unifying Quantization and Pruning
M van Baalen, C Louizos, M Nagel, RA Amjad, Y Wang, T Blankevoort, ...
arXiv preprint arXiv:2005.07093, 2020
2020
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Articles 1–16