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Christos Louizos
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2020 – today
- 2024
- [j3]Fabio Valerio Massoli, Christos Louizos, Arash Behboodi:
Variational Learning ISTA. Trans. Mach. Learn. Res. 2024 (2024) - [c21]Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling:
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees. AAAI 2024: 14829-14837 - [c20]Buu Phan, Ashish Khisti, Christos Louizos:
Importance Matching Lemma for Lossy Compression with Side Information. AISTATS 2024: 1387-1395 - [c19]Christos Louizos, Matthias Reisser, Denis Korzhenkov:
A Mutual Information Perspective on Federated Contrastive Learning. ICLR 2024 - [i27]Buu Phan, Ashish Khisti, Christos Louizos:
Importance Matching Lemma for Lossy Compression with Side Information. CoRR abs/2401.02609 (2024) - [i26]Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian:
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. CoRR abs/2402.16848 (2024) - [i25]Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling:
DNA: Differentially private Neural Augmentation for contact tracing. CoRR abs/2404.13381 (2024) - [i24]Christos Louizos, Matthias Reisser, Denis Korzhenkov:
A Mutual Information Perspective on Federated Contrastive Learning. CoRR abs/2405.02081 (2024) - [i23]Alvaro H. C. Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi:
An Information Theoretic Perspective on Conformal Prediction. CoRR abs/2405.02140 (2024) - [i22]Mahdi Morafah, Matthias Reisser, Bill Lin, Christos Louizos:
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data. CoRR abs/2405.07925 (2024) - [i21]Fabio Valerio Massoli, Christos Louizos, Arash Behboodi:
Variational Learning ISTA. CoRR abs/2407.06646 (2024) - 2023
- [j2]Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel:
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. Trans. Mach. Learn. Res. 2023 (2023) - [c18]Rob Romijnders, Yuki M. Asano, Christos Louizos, Max Welling:
No time to waste: practical statistical contact tracing with few low-bit messages. AISTATS 2023: 7943-7960 - [c17]Bruno Mlodozeniec, Matthias Reisser, Christos Louizos:
Hyperparameter Optimization through Neural Network Partitioning. ICLR 2023 - [c16]Prathamesh Mandke, Rachel Oberst, Matthias Reisser, Avijit Chakraborty, Christos Louizos, Joseph Soriaga, Daniel Madrigal Diaz, Andre Manoel, Nalin Singal, Jeff Omhover, Robert Sim:
Federated Learning Toolkit with Voice-based User Verification Demo. INTERSPEECH 2023: 5263-5264 - [i20]Bruno Mlodozeniec, Matthias Reisser, Christos Louizos:
Hyperparameter Optimization through Neural Network Partitioning. CoRR abs/2304.14766 (2023) - [i19]Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling:
Protect Your Score: Contact Tracing With Differential Privacy Guarantees. CoRR abs/2312.11581 (2023) - 2022
- [i18]Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel:
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. CoRR abs/2206.10844 (2022) - 2021
- [c15]Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling:
Federated Learning of User Verification Models Without Sharing Embeddings. ICML 2021: 4328-4336 - [i17]Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling:
Federated Learning of User Verification Models Without Sharing Embeddings. CoRR abs/2104.08776 (2021) - [i16]Matthias Reisser, Christos Louizos, Efstratios Gavves, Max Welling:
Federated Mixture of Experts. CoRR abs/2107.06724 (2021) - [i15]Aleksei Triastcyn, Matthias Reisser, Christos Louizos:
DP-REC: Private & Communication-Efficient Federated Learning. CoRR abs/2111.05454 (2021) - [i14]Christos Louizos, Matthias Reisser, Joseph Soriaga, Max Welling:
An Expectation-Maximization Perspective on Federated Learning. CoRR abs/2111.10192 (2021) - 2020
- [c14]Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling:
Gradient $\ell_1$ Regularization for Quantization Robustness. ICLR 2020 - [c13]Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort:
Up or Down? Adaptive Rounding for Post-Training Quantization. ICML 2020: 7197-7206 - [c12]Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling:
DIVA: Domain Invariant Variational Autoencoders. MIDL 2020: 322-348 - [c11]Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling:
Bayesian Bits: Unifying Quantization and Pruning. NeurIPS 2020 - [i13]Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling:
Gradient 𝓁1 Regularization for Quantization Robustness. CoRR abs/2002.07520 (2020) - [i12]Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort:
Up or Down? Adaptive Rounding for Post-Training Quantization. CoRR abs/2004.10568 (2020) - [i11]Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling:
Bayesian Bits: Unifying Quantization and Pruning. CoRR abs/2005.07093 (2020) - [i10]Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga, Max Welling:
Federated Learning of User Authentication Models. CoRR abs/2007.04618 (2020) - [i9]Rik Helwegen, Christos Louizos, Patrick Forré:
Improving Fair Predictions Using Variational Inference In Causal Models. CoRR abs/2008.10880 (2020)
2010 – 2019
- 2019
- [c10]Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling:
DIVA: Domain Invariant Variational Autoencoder. DGS@ICLR 2019 - [c9]Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling:
Relaxed Quantization for Discretized Neural Networks. ICLR (Poster) 2019 - [c8]Christos Louizos, Xiahan Shi, Klamer Schutte, Max Welling:
The Functional Neural Process. NeurIPS 2019: 8743-8754 - [i8]Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling:
DIVA: Domain Invariant Variational Autoencoders. CoRR abs/1905.10427 (2019) - [i7]Christos Louizos, Xiahan Shi, Klamer Schutte, Max Welling:
The Functional Neural Process. CoRR abs/1906.08324 (2019) - 2018
- [c7]Christos Louizos, Max Welling, Diederik P. Kingma:
Learning Sparse Neural Networks through L_0 Regularization. ICLR (Poster) 2018 - [i6]Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling:
Relaxed Quantization for Discretized Neural Networks. CoRR abs/1810.01875 (2018) - 2017
- [c6]Christos Louizos, Max Welling:
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks. ICML 2017: 2218-2227 - [c5]Christos Louizos, Karen Ullrich, Max Welling:
Bayesian Compression for Deep Learning. NIPS 2017: 3288-3298 - [c4]Christos Louizos, Uri Shalit, Joris M. Mooij, David A. Sontag, Richard S. Zemel, Max Welling:
Causal Effect Inference with Deep Latent-Variable Models. NIPS 2017: 6446-6456 - [i5]Christos Louizos, Max Welling:
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks. CoRR abs/1703.01961 (2017) - [i4]Christos Louizos, Karen Ullrich, Max Welling:
Bayesian Compression for Deep Learning. CoRR abs/1705.08665 (2017) - [i3]Christos Louizos, Uri Shalit, Joris M. Mooij, David A. Sontag, Richard S. Zemel, Max Welling:
Causal Effect Inference with Deep Latent-Variable Models. CoRR abs/1705.08821 (2017) - [i2]Christos Louizos, Max Welling, Diederik P. Kingma:
Learning Sparse Neural Networks through L0 Regularization. CoRR abs/1712.01312 (2017) - 2016
- [c3]Christos Louizos, Max Welling:
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors. ICML 2016: 1708-1716 - [c2]Christos Louizos, Kevin Swersky, Yujia Li, Max Welling, Richard S. Zemel:
The Variational Fair Autoencoder. ICLR 2016 - [i1]Christos Louizos, Max Welling:
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors. CoRR abs/1603.04733 (2016) - 2015
- [j1]Theodosios Goudas, Christos Louizos, Georgios Petasis, Vangelis Karkaletsis:
Argument Extraction from News, Blogs, and the Social Web. Int. J. Artif. Intell. Tools 24(5): 1540024:1-1540024:22 (2015) - 2014
- [c1]Theodosios Goudas, Christos Louizos, Georgios Petasis, Vangelis Karkaletsis:
Argument Extraction from News, Blogs, and Social Media. SETN 2014: 287-299
Coauthor Index
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