Conference publications
C. Louizos, M. Welling, D. P. Kingma, Learning Sparse Neural Networks through L0 Regularization, ICLR 2018 [ link ]

C. Louizos, K. Ullrich, M. Welling, Bayesian Compression for Deep Learning, NIPS 2017 [ link ]

C. Louizos, U. Shalit, J. Mooij, D. Sontag, R. Zemel, M. Welling, Causal Effect Inference with Deep Latent-Variable Models, NIPS 2017 [ link ]

C. Louizos, M. Welling, Multiplicative Normalizing Flows for Variational Bayesian Neural Networks, ICML 2017 [ link ]

C. Louizos, M. Welling, Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors, ICML 2016 [ link ]

C.Louizos, K. Swersky, Y. Li, M. Welling, R. Zemel, The Variational Fair Autoencoder, ICLR 2016 [ link ]

C. Louizos, Smart Regularisation of Deep Architectures, Master thesis, Artificial Intelligence, University of Amsterdam [ link ]