Reisser, Matthias

7 publications

ICLR 2024 A Mutual Information Perspective on Federated Contrastive Learning Christos Louizos, Matthias Reisser, Denis Korzhenkov

NeurIPS 2024 Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli

ICLR 2023 Hyperparameter Optimization Through Neural Network Partitioning Bruno Kacper Mlodozeniec, Matthias Reisser, Christos Louizos

TMLR 2023 Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel

NeurIPSW 2022 Decentralized Learning with Random Walks and Communication-Efficient Adaptive Optimization Aleksei Triastcyn, Matthias Reisser, Christos Louizos

ICLR 2019 Relaxed Quantization for Discretized Neural Networks Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling

ICLR 2018 Temporally Efficient Deep Learning with Spikes Peter O'Connor, Efstratios Gavves, Matthias Reisser, Max Welling