Relaxed quantization for discretized neural networks C Louizos, M Reisser, T Blankevoort, E Gavves, M Welling arXiv preprint arXiv:1810.01875, 2018 | 170 | 2018 |
Continuous relaxation of quantization for discretized deep neural networks C Louizos, M Reisser, TPF Blankevoort, M Welling US Patent 11,562,208, 2023 | 11 | 2023 |
Federated mixture of experts M Reisser, C Louizos, E Gavves, M Welling arXiv preprint arXiv:2107.06724, 2021 | 8 | 2021 |
An expectation-maximization perspective on federated learning C Louizos, M Reisser, J Soriaga, M Welling arXiv preprint arXiv:2111.10192, 2021 | 6 | 2021 |
DP-REC: Private & communication-efficient federated learning A Triastcyn, M Reisser, C Louizos arXiv preprint arXiv:2111.05454, 2021 | 4 | 2021 |
Variance propagation for quantization M Reisser, M Welling, E Gavves, C Louizos US Patent App. 16/417,430, 2019 | 4 | 2019 |
Joint pruning and quantization scheme for deep neural networks Y Lu, Y Wang, TPF Blankevoort, C Louizos, M Reisser, J Hou US Patent App. 17/030,315, 2021 | 2 | 2021 |
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices K Gupta, M Fournarakis, M Reisser, C Louizos, M Nagel arXiv preprint arXiv:2206.10844, 2022 | 1 | 2022 |
Systems and methods for modifying neural networks for binary processing applications M Reisser, SK Pitre, X Zhu, EH Teague, Z Wang, M Welling US Patent App. 17/016,130, 2021 | 1 | 2021 |
Deep Learning for Compute in Memory M Reisser, S Pitre, X Zhu, H Teague, J Wang, M Welling Research Symposium on Tiny Machine Learning, 2020 | 1 | 2020 |
Decentralized Learning with Random Walks and Communication-Efficient Adaptive Optimization A Triastcyn, M Reisser, C Louizos Workshop on Federated Learning: Recent Advances and New Challenges (in …, 0 | 1 | |
Hyperparameter Optimization through Neural Network Partitioning B Mlodozeniec, M Reisser, C Louizos arXiv preprint arXiv:2304.14766, 2023 | | 2023 |
Federated mixture models M Reisser, M Welling, E Gavves, C Louizos US Patent App. 17/914,297, 2023 | | 2023 |
Federated mixture models M Reisser, M Welling, E Gavves, C Louizos US Patent App. 17/756,957, 2023 | | 2023 |
Federated Averaging as Expectation Maximization C Louizos, M Reisser, J Soriaga, M Welling | | |
AGraphical MODEL PERSPECTIVE ON FEDERATED LEARNING C Louizos, M Reisser, J Soriaga, M Welling | | |
Federated Functional Variational Inference M Hutchinson, M Reisser, C Louizos | | |