Christos Louizos

发表

THE VARIATIONAL FAIR AUTO ENCODER

R. Zemel, M. Welling, Yujia Li, 2015 .

The Variational Fair Autoencoder pdf

Max Welling, Yujia Li, Richard S. Zemel, 2015, ICLR.

Learning Sparse Neural Networks through L0 Regularization pdf

Max Welling, Diederik P. Kingma, Christos Louizos, 2017, ICLR.

Smart Regularization of Deep Architectures

J. Mooij, Christos Louizos, Christos Louizos, 2015 .

Multiplicative Normalizing Flows for Variational Bayesian Neural Networks pdf

Max Welling, Christos Louizos, M. Welling, 2017, ICML.

Causal Effect Inference with Deep Latent-Variable Models

Max Welling, Joris M. Mooij, Richard S. Zemel, 2017, NIPS 2017.

Improving Fair Predictions Using Variational Inference In Causal Models pdf

Patrick Forr'e, Christos Louizos, Rik Helwegen, 2020, ArXiv.

Learning Sparse Neural Networks through L0 Regularization

Diederik P. Kingma, M. Welling, Christos Louizos, 2017, ICLR.

The Variational Fair Autoencoder

Max Welling, Kevin Swersky, Yujia Li, 2015, ICLR.

Up or Down? Adaptive Rounding for Post-Training Quantization

Rana Ali Amjad, Mart van Baalen, Christos Louizos, 2020, ICML.

DIVA: DOMAIN INVARIANT VARIATIONAL AUTOEN-

Jakub M. Tomczak, M. Welling, Christos Louizos, 2019 .

DISCRETIZED NEURAL NETWORKS

Christos Louizos, Matthias Reisser, Christos Louizos, 2019 .

Gradient 𝓁1 Regularization for Quantization Robustness pdf

Max Welling, Arash Behboodi, Milad Alizadeh, 2020, ArXiv.

UvA-DARE (Digital Academic Multiplicative Normalizing Flows for Variational Bayesian Neural Networks

M. Welling, Christos Louizos, 2017 .

Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices

Christos Louizos, Markus Nagel, M. Reisser, 2022, ArXiv.

DIVA: Domain Invariant Variational Autoencoders

Jakub M. Tomczak, Max Welling, Christos Louizos, 2019, DGS@ICLR.

Bayesian Compression for Deep Learning

Max Welling, Karen Ullrich, Christos Louizos, 2017, NIPS.

Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

Max Welling, Christos Louizos, M. Welling, 2016, ICML.

DIVA: Domain Invariant Variational Autoencoder

Max Welling, Jakub M. Tomczak, Christos Louizos, 2019, DGS@ICLR.

Relaxed Quantization for Discretized Neural Networks pdf

Max Welling, Efstratios Gavves, Christos Louizos, 2018, ICLR.

An Expectation-Maximization Perspective on Federated Learning pdf

Max Welling, Christos Louizos, Matthias Reisser, 2021, ArXiv.

Federated Mixture of Experts pdf

Max Welling, Efstratios Gavves, Christos Louizos, 2021, ArXiv.

Bayesian Bits: Unifying Quantization and Pruning pdf

Ying Wang, Rana Ali Amjad, Markus Nagel, 2020, NeurIPS.

Hyperparameter Optimization through Neural Network Partitioning

Christos Louizos, Bruno Mlodozeniec, M. Reisser, 2023, ICLR.

Federated Learning of User Verification Models Without Sharing Embeddings

Joseph B. Soriaga, M. Welling, Christos Louizos, 2021, ICML.

Relaxed Quantization for Discretized Neural Networks

M. Welling, Christos Louizos, E. Gavves, 2018, ICLR.

The Functional Neural Process

Klamer Schutte, Max Welling, Christos Louizos, 2019, NeurIPS.

Deep Bayesian Neural Nets as Deep Matrix Gaussian Processes

Max Welling, Christos Louizos, M. Welling, 2016 .

Causal Effect Inference with Deep Latent-Variable Models

R. Zemel, J. Mooij, D. Sontag, 2017, ArXiv.

No time to waste: practical statistical contact tracing with few low-bit messages

Yuki M. Asano, Christos Louizos, Rob Romijnders, 2023, AISTATS.

DP-REC: Private & Communication-Efficient Federated Learning pdf

Christos Louizos, Matthias Reisser, Aleksei Triastcyn, 2021, ArXiv.

Causal Effect Inference with Deep Latent-Variable Models

R. Zemel, J. Mooij, D. Sontag, 2017, NIPS.

Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

M. Welling, Christos Louizos, 2016, ICML.

InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning

Christos Louizos, Tijmen Blankevoort, B. Bejnordi, 2024, 2402.16848.

UvA-DARE (Digital Academic Repository) No time to waste: practical statistical contact tracing with few low-bit messages

Christos Louizos, Rob Romijnders, Yuki M. Asano, 2022 .