Matthias Reisser

According to our database, Matthias Reisser authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data.

Mahdi Morafah, Matthias Reisser, Bill Lin, Christos Louizos

CoRR, 2024

A Mutual Information Perspective on Federated Contrastive Learning.

Christos Louizos, Matthias Reisser, Denis Korzhenkov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

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

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Hyperparameter Optimization through Neural Network Partitioning.

Bruno Mlodozeniec, Matthias Reisser, Christos Louizos

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

An Expectation-Maximization Perspective on Federated Learning.

Christos Louizos, Matthias Reisser, Joseph Soriaga, Max Welling

CoRR, 2021

DP-REC: Private & Communication-Efficient Federated Learning.

Aleksei Triastcyn, Matthias Reisser, Christos Louizos

CoRR, 2021

Federated Mixture of Experts.

Matthias Reisser, Christos Louizos, Efstratios Gavves, Max Welling

CoRR, 2021

2019

Relaxed Quantization for Discretized Neural Networks.

Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling

Proceedings of the 7th International Conference on Learning Representations, 2019

Document Domain Adaptation with Generative Adversarial Networks.

Diede Rusticus, Lutz Goldmann, Matthias Reisser, Mauricio Villegas

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018

Temporally Efficient Deep Learning with Spikes.

Peter O'Connor, Efstratios Gavves, Matthias Reisser, Max Welling

Proceedings of the 6th International Conference on Learning Representations, 2018

2016

Using Hidden Markov Models for Descriptive and Predictive Analysis of Purchasing Histories.

Katerina Shapoval, Matthias Reisser, Johannes Baldinger

Proceedings of the Multikonferenz Wirtschaftsinformatik, 2016