Using Hidden Markov Models for Descriptive and Predictive Analysis of Purchasing Histories. - Katerina Shapoval; Matthias Reisser; Johannes Baldinger (MKWI, 2016)

Temporally Efficient Deep Learning with Spikes. - Peter O'Connor; Efstratios Gavves; Matthias Reisser; Max Welling (ICLR (Poster), 2018)

Document Domain Adaptation with Generative Adversarial Networks. - Diede Rusticus; Lutz Goldmann; Matthias Reisser; Mauricio Villegas (ICDAR, 2019)

Relaxed Quantization for Discretized Neural Networks. - Christos Louizos; Matthias Reisser; Tijmen Blankevoort; Efstratios Gavves; Max Welling (ICLR (Poster), 2019)

Federated Mixture of Experts. - Matthias Reisser; Christos Louizos; Efstratios Gavves; Max Welling (CoRR, 2021)

DP-REC: Private & Communication-Efficient Federated Learning. - Aleksei Triastcyn; Matthias Reisser; Christos Louizos (CoRR, 2021)

An Expectation-Maximization Perspective on Federated Learning. - Christos Louizos; Matthias Reisser; Joseph Soriaga; Max Welling (CoRR, 2021)

Hyperparameter Optimization through Neural Network Partitioning. - Bruno Mlodozeniec; Matthias Reisser; Christos Louizos (ICLR, 2023)

Federated Learning Toolkit with Voice-based User Verification Demo. - Prathamesh Mandke; Rachel Oberst; Matthias Reisser; Avijit Chakraborty; Christos Louizos; Joseph Soriaga; Daniel Madrigal Diaz; Andre Manoel; Nalin Singal; Jeff Omhover; Robert Sim (INTERSPEECH, 2023)

Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. - Kartik Gupta; Marios Fournarakis; Matthias Reisser; Christos Louizos; Markus Nagel (Trans. Mach. Learn. Res., 2023)

A Mutual Information Perspective on Federated Contrastive Learning. - Christos Louizos; Matthias Reisser; Denis Korzhenkov (ICLR, 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 (NeurIPS, 2024)

Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data. - Mahdi Morafah; Matthias Reisser; Bill Lin 001; Christos Louizos (CoRR, 2024)