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Matthias Reisser
Matthias Reisser
Qualcomm AI Research
Verified email at qti.qualcomm.com
Title
Cited by
Cited by
Year
Relaxed quantization for discretized neural networks
C Louizos, M Reisser, T Blankevoort, E Gavves, M Welling
arXiv preprint arXiv:1810.01875, 2018
1702018
Continuous relaxation of quantization for discretized deep neural networks
C Louizos, M Reisser, TPF Blankevoort, M Welling
US Patent 11,562,208, 2023
112023
Federated mixture of experts
M Reisser, C Louizos, E Gavves, M Welling
arXiv preprint arXiv:2107.06724, 2021
82021
An expectation-maximization perspective on federated learning
C Louizos, M Reisser, J Soriaga, M Welling
arXiv preprint arXiv:2111.10192, 2021
62021
DP-REC: Private & communication-efficient federated learning
A Triastcyn, M Reisser, C Louizos
arXiv preprint arXiv:2111.05454, 2021
42021
Variance propagation for quantization
M Reisser, M Welling, E Gavves, C Louizos
US Patent App. 16/417,430, 2019
42019
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
22021
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
12022
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
12021
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
12020
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
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Articles 1–17