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Christos Louizos
Christos Louizos
Qualcomm AI Research
Verified email at qti.qualcomm.com
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
6622017
The variational fair autoencoder
C Louizos, K Swersky, Y Li, M Welling, R Zemel
Proceedings of the 4th International Conference on Learning Representations …, 2015
4752015
Bayesian compression for deep learning
C Louizos, K Ullrich, M Welling
Advances in neural information processing systems 30, 2017
3862017
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 30, 2017
3852017
Multiplicative normalizing flows for variational bayesian neural networks
C Louizos, M Welling
International Conference on Machine Learning, 2218-2227, 2017
3572017
Structured and efficient variational deep learning with matrix gaussian posteriors
C Louizos, M Welling
International conference on machine learning, 1708-1716, 2016
2182016
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
1252018
Argument extraction from news, blogs, and social media
T Goudas, C Louizos, G Petasis, V Karkaletsis
Hellenic Conference on Artificial Intelligence, 287-299, 2014
972014
Diva: Domain invariant variational autoencoders
M Ilse, JM Tomczak, C Louizos, M Welling
Medical Imaging with Deep Learning, 322-348, 2020
892020
Up or down? adaptive rounding for post-training quantization
M Nagel, RA Amjad, M Van Baalen, C Louizos, T Blankevoort
International Conference on Machine Learning, 7197-7206, 2020
742020
The functional neural process
C Louizos, X Shi, K Schutte, M Welling
Advances in Neural Information Processing Systems 32, 2019
412019
Bayesian bits: Unifying quantization and pruning
M Van Baalen, C Louizos, M Nagel, RA Amjad, Y Wang, T Blankevoort, ...
Advances in neural information processing systems 33, 5741-5752, 2020
342020
Gradient Regularization for Quantization Robustness
M Alizadeh, A Behboodi, M van Baalen, C Louizos, T Blankevoort, ...
arXiv preprint arXiv:2002.07520, 2020
272020
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
222015
Smart regularization of deep architectures
C Louizos
Master's thesis, University of Amsterdam, 2015
152015
Federated learning of user authentication models
H Hosseini, S Yun, H Park, C Louizos, J Soriaga, M Welling
arXiv preprint arXiv:2007.04618, 2020
82020
Improving fair predictions using variational inference in causal models
R Helwegen, C Louizos, P Forré
arXiv preprint arXiv:2008.10880, 2020
32020
Federated mixture of experts
M Reisser, C Louizos, E Gavves, M Welling
arXiv preprint arXiv:2107.06724, 2021
22021
Federated Learning of User Verification Models Without Sharing Embeddings
H Hosseini, H Park, S Yun, C Louizos, J Soriaga, M Welling
International Conference on Machine Learning, 4328-4336, 2021
12021
An Expectation-Maximization Perspective on Federated Learning
C Louizos, M Reisser, J Soriaga, M Welling
arXiv preprint arXiv:2111.10192, 2021
2021
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