| Relaxed quantization for discretized neural networks C Louizos, M Reisser, T Blankevoort, E Gavves, M Welling arXiv preprint arXiv:1810.01875, 2018 | 212 | 2018 |
| Federated mixture of experts M Reisser, C Louizos, E Gavves, M Welling arXiv preprint arXiv:2107.06724, 2021 | 18 | 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 | 16 | 2022 |
| Dp-rec: Private & communication-efficient federated learning A Triastcyn, M Reisser, C Louizos arXiv preprint arXiv:2111.05454, 2021 | 16 | 2021 |
| An expectation-maximization perspective on federated learning C Louizos, M Reisser, J Soriaga, M Welling arXiv preprint arXiv:2111.10192, 2021 | 13 | 2021 |
| Hyperparameter optimization through neural network partitioning B Mlodozeniec, M Reisser, C Louizos arXiv preprint arXiv:2304.14766, 2023 | 6 | 2023 |
| 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 …, 2022 | 6 | 2022 |
| 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 | 3 | 2021 |
| Federated averaging as expectation maximization C Louizos, M Reisser, J Soriaga, M Welling | 3 | 2021 |
| Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data M Morafah, M Reisser, B Lin, C Louizos arXiv preprint arXiv:2405.07925, 2024 | 2 | 2024 |
| 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 11,790,241, 2023 | 2 | 2023 |
| Federated mixture models M Reisser, M Welling, E Gavves, C Louizos US Patent App. 17/756,957, 2023 | 2 | 2023 |
| A Mutual Information Perspective on Federated Contrastive Learning C Louizos, M Reisser, D Korzhenkov arXiv preprint arXiv:2405.02081, 2024 | 1 | 2024 |
| Federated Learning Toolkit with Voice-based User Verification Demo P Mandke, R Oberst, M Reisser, A Chakraborty, C Louizos, J Soriaga, ... Proceedings of INTERSPEECH 2023, 2023 | 1 | 2023 |
| Federated Functional Variational Inference M Hutchinson, M Reisser, C Louizos Proceedings of the NeurIPS 2021 worksop on Bayesian Deep Learning, 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 |
| Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models W Cho, S Choi, D Das, M Reisser, T Kim, S Yun, F Porikli arXiv preprint arXiv:2411.01179, 2024 | | 2024 |
| BI-DIRECTIONAL COMPRESSION AND PRIVACY FOR EFFICIENT COMMUNICATION IN FEDERATED LEARNING M Reisser, A Triastcyn, C Louizos US Patent App. 18/556,622, 2024 | | 2024 |
| Sparsity-inducing federated machine learning C Louizos, H Hosseini, M Reisser, M Welling, JB Soriaga US Patent App. 18/040,111, 2023 | | 2023 |
