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Christos Louizos

Learning Sparse Neural Networks through $L_0$ Regularization
2017 · Louizos, Christos, Welling, Max, et al. · arXiv (Cornell University) · 941
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The Variational Fair Autoencoder
2015 · Louizos, Christos, Swersky, Kevin, et al. · UvA-DARE (University of Amsterdam) · 431
Causal Effect Inference with Deep Latent-Variable Models
2017 · Louizos, Christos, Shalit, Uri, et al. · UvA-DARE (University of Amsterdam) · 424
Bayesian Compression for Deep Learning
2017 · Louizos, Christos, Ullrich, Karen, et al. · arXiv (Cornell University) · 375
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The Variational Fair Autoencoder
2016 · Louizos, C., Swersky, K., et al. · Data Archiving and Networked Services (DANS) · 336
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Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
2017 · Louizos, Christos, Welling, Max · arXiv (Cornell University) · 316
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Up or Down? Adaptive Rounding for Post-Training Quantization
2020 · Nagel, Markus, Amjad, Rana Ali, et al. · arXiv (Cornell University) · 293
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Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
2016 · Louizos, Christos, Welling, Max · arXiv (Cornell University) · 149
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DIVA: Domain Invariant Variational Autoencoders
2019 · Ilse, Maximilian, Tomczak, Jakub M., et al. · arXiv (Cornell University) · 147
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Relaxed Quantization for Discretized Neural Networks
2018 · Louizos, Christos, Reisser, Matthias, et al. · UvA-DARE (University of Amsterdam) · 102
Bayesian Bits: Unifying Quantization and Pruning
2020 · van Baalen, Mart, Louizos, Christos, et al. · arXiv (Cornell University) · 95
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Argument Extraction from News, Blogs, and Social Media
2014 · Theodosis Goudas, Christos Louizos, et al. · Lecture notes in computer science · 95
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
2017 · Louizos, C., Welling, M. · Data Archiving and Networked Services (DANS) · 57
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The Functional Neural Process
2019 · Louizos, Christos, Shi, Xiahan, et al. · arXiv (Cornell University) · 43
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Federated Mixture of Experts
2021 · Reisser, Matthias, Louizos, Christos, et al. · arXiv (Cornell University) · 39
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Gradient $\ell_1$ Regularization for Quantization Robustness
2020 · Alizadeh, Milad, Behboodi, Arash, et al. · arXiv (Cornell University) · 29
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Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
2024 · Morafah, Mahdi, Reisser, Matthias, et al. · arXiv (Cornell University) · 23
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Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices
2022 · Gupta, Kartik, Fournarakis, Marios, et al. · arXiv (Cornell University) · 23
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Federated Learning of User Authentication Models
2020 · Hosseini, Hossein, Yun, Sungrack, et al. · arXiv (Cornell University) · 22
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Argument Extraction from News, Blogs, and the Social Web
2015 · Theodosis Goudas, Christos Louizos, et al. · International Journal of Artificial Intelligence Tools · 20
DP-REC: Private & Communication-Efficient Federated Learning
2021 · Triastcyn, Aleksei, Reisser, Matthias, et al. · arXiv (Cornell University) · 19
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An Expectation-Maximization Perspective on Federated Learning
2021 · Louizos, Christos, Reisser, Matthias, et al. · arXiv (Cornell University) · 17
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An Information Theoretic Perspective on Conformal Prediction
2024 · Alvaro Correia, Fabio Massoli, et al. · neural information processing systems · 16
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Analyzing and Improving Chain-of-Thought Monitorability Through Information Theory
2026 · Anwar, Usman, Bakker, Tim, et al. · arXiv (Cornell University) · 12
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Federated Learning of User Verification Models Without Sharing Embeddings
2021 · Hosseini, Hossein, Park, Hyunsin, et al. · arXiv (Cornell University) · 12
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Works count: 58
Citation count: 4,098
H-index: 20
I10-index: 26
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