Search Results - Louizos, Christos

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  1. 1
    On Sampling Strategies for Spectral Model Sharding

    On Sampling Strategies for Spectral Model Sharding by Korzhenkov, Denis, Louizos, Christos

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  2. 2
    Protect Your Score: Contact-Tracing with Differential Privacy Guarantees

    Protect Your Score: Contact-Tracing with Differential Privacy Guarantees by Romijnders, Rob, Louizos, Christos, Asano, Yuki M., Welling, Max

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  3. 3
    Variational Learning ISTA

    Variational Learning ISTA by Fabio Valerio Massoli, Louizos, Christos, Behboodi, Arash

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  4. 4
    A Mutual Information Perspective on Federated Contrastive Learning

    A Mutual Information Perspective on Federated Contrastive Learning by Louizos, Christos, Reisser, Matthias, Korzhenkov, Denis

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  5. 5
    Importance Matching Lemma for Lossy Compression with Side Information

    Importance Matching Lemma for Lossy Compression with Side Information by Phan, Buu, Khisti, Ashish, Louizos, Christos

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  6. 6
    Hyperparameter Optimization through Neural Network Partitioning

    Hyperparameter Optimization through Neural Network Partitioning by Mlodozeniec, Bruno, Reisser, Matthias, Louizos, Christos

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  7. 7
    Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data

    Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data by Morafah, Mahdi, Reisser, Matthias, Lin, Bill, Louizos, Christos

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  8. 8
    DNA: Differentially private Neural Augmentation for contact tracing

    DNA: Differentially private Neural Augmentation for contact tracing by Romijnders, Rob, Louizos, Christos, Asano, Yuki M, Welling, Max

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  9. 9
    Protect Your Score: Contact Tracing With Differential Privacy Guarantees

    Protect Your Score: Contact Tracing With Differential Privacy Guarantees by Romijnders, Rob, Louizos, Christos, Asano, Yuki M, Welling, Max

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  10. 10
    DP-REC: Private & Communication-Efficient Federated Learning

    DP-REC: Private & Communication-Efficient Federated Learning by Triastcyn, Aleksei, Reisser, Matthias, Louizos, Christos

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  11. 11
    Multi-Draft Speculative Sampling: Canonical Architectures and Theoretical Limits

    Multi-Draft Speculative Sampling: Canonical Architectures and Theoretical Limits by Khisti, Ashish, Ebrahimi, M Reza, Dbouk, Hassan, Behboodi, Arash, Memisevic, Roland, Louizos, Christos

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  12. 12
    An Information Theoretic Perspective on Conformal Prediction

    An Information Theoretic Perspective on Conformal Prediction by Correia, Alvaro H C, Fabio Valerio Massoli, Louizos, Christos, Behboodi, Arash

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  13. 13
    Multiplicative Normalizing Flows for Variational Bayesian Neural Networks

    Multiplicative Normalizing Flows for Variational Bayesian Neural Networks by Louizos, Christos, Welling, Max

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  14. 14
    Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices

    Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices by Gupta, Kartik, Fournarakis, Marios, Reisser, Matthias, Louizos, Christos, Nagel, Markus

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  15. 15
    InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning

    InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning by Babak Ehteshami Bejnordi, Kumar, Gaurav, Royer, Amelie, Louizos, Christos, Blankevoort, Tijmen, Ghafoorian, Mohsen

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  16. 16
    Improving Fair Predictions Using Variational Inference In Causal Models

    Improving Fair Predictions Using Variational Inference In Causal Models by Helwegen, Rik, Louizos, Christos, ré, Patrick

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  17. 17
    An Expectation-Maximization Perspective on Federated Learning

    An Expectation-Maximization Perspective on Federated Learning by Louizos, Christos, Reisser, Matthias, Soriaga, Joseph, Welling, Max

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  18. 18
    Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

    Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors by Louizos, Christos, Welling, Max

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  19. 19
    Federated Mixture of Experts

    Federated Mixture of Experts by Reisser, Matthias, Louizos, Christos, Gavves, Efstratios, Welling, Max

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  20. 20
    Learning Sparse Neural Networks through \(L_0\) Regularization

    Learning Sparse Neural Networks through \(L_0\) Regularization by Louizos, Christos, Welling, Max, Kingma, Diederik P

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