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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
12552017
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
8372017
The variational fair autoencoder
C Louizos, K Swersky, Y Li, M Welling, R Zemel
Proceedings of the 4th International Conference on Learning Representations …, 2015
7332015
Bayesian compression for deep learning
C Louizos, K Ullrich, M Welling
Advances in neural information processing systems 30, 2017
5662017
Multiplicative normalizing flows for variational bayesian neural networks
C Louizos, M Welling
International Conference on Machine Learning, 2218-2227, 2017
5512017
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
4812020
Structured and efficient variational deep learning with matrix gaussian posteriors
C Louizos, M Welling
International conference on machine learning, 1708-1716, 2016
3102016
Diva: Domain invariant variational autoencoders
M Ilse, JM Tomczak, C Louizos, M Welling
Medical Imaging with Deep Learning, 322-348, 2020
2202020
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
2102018
Argument extraction from news, blogs, and social media
T Goudas, C Louizos, G Petasis, V Karkaletsis
Artificial Intelligence: Methods and Applications: 8th Hellenic Conference …, 2014
1322014
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
1312020
The functional neural process
C Louizos, X Shi, K Schutte, M Welling
Advances in Neural Information Processing Systems 32, 2019
812019
Gradient Regularization for Quantization Robustness
M Alizadeh, A Behboodi, M Van Baalen, C Louizos, T Blankevoort, ...
arXiv preprint arXiv:2002.07520, 2020
582020
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
282021
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
252015
Federated learning of user authentication models
H Hosseini, S Yun, H Park, C Louizos, J Soriaga, M Welling
arXiv preprint arXiv:2007.04618, 2020
202020
Smart regularization of deep architectures
C Louizos
Master's thesis, University of Amsterdam, 2015
172015
Federated mixture of experts
M Reisser, C Louizos, E Gavves, M Welling
arXiv preprint arXiv:2107.06724, 2021
162021
Quantization robust federated learning for efficient inference on heterogeneous devices
K Gupta, M Fournarakis, M Reisser, C Louizos, M Nagel
arXiv preprint arXiv:2206.10844, 2022
152022
An expectation-maximization perspective on federated learning
C Louizos, M Reisser, J Soriaga, M Welling
arXiv preprint arXiv:2111.10192, 2021
15*2021
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Articles 1–20