Matthias Reisser

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Efficient Inference

Domain Adaptation

Top Venues

Publications

Christos Louizos, Matthias Reisser, Denis Korzhenkov
A Mutual Information Perspective on Federated Contrastive Learning. ICLR (2024)
Christos Louizos, Matthias Reisser, Denis Korzhenkov
A Mutual Information Perspective on Federated Contrastive Learning. CoRR (2024)
Mahdi Morafah, Matthias Reisser, Bill Lin, Christos Louizos
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data. CoRR (2024)
Bruno Mlodozeniec, Matthias Reisser, Christos Louizos
Hyperparameter Optimization through Neural Network Partitioning. ICLR (2023)
Bruno Mlodozeniec, Matthias Reisser, Christos Louizos
Hyperparameter Optimization through Neural Network Partitioning. CoRR (2023)
Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. Trans. Mach. Learn. Res. 2023 (2023)
Prathamesh Mandke, Rachel Oberst, Matthias Reisser, Avijit Chakraborty, Christos Louizos, Joseph Soriaga, Daniel Madrigal Diaz, Andre Manoel, Nalin Singal, Jeff Omhover, Robert Sim
Federated Learning Toolkit with Voice-based User Verification Demo. INTERSPEECH (2023)
Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. CoRR (2022)
Aleksei Triastcyn, Matthias Reisser, Christos Louizos
DP-REC: Private & Communication-Efficient Federated Learning. CoRR (2021)
Matthias Reisser, Christos Louizos, Efstratios Gavves, Max Welling
Federated Mixture of Experts. CoRR (2021)
Christos Louizos, Matthias Reisser, Joseph Soriaga, Max Welling
An Expectation-Maximization Perspective on Federated Learning. CoRR (2021)
Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling
Relaxed Quantization for Discretized Neural Networks. ICLR (Poster) (2019)
Diede Rusticus, Lutz Goldmann, Matthias Reisser, Mauricio Villegas
Document Domain Adaptation with Generative Adversarial Networks. ICDAR (2019)
Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling
Relaxed Quantization for Discretized Neural Networks. CoRR (2018)
Peter O'Connor, Efstratios Gavves, Matthias Reisser, Max Welling
Temporally Efficient Deep Learning with Spikes. ICLR (Poster) (2018)
Katerina Shapoval, Matthias Reisser, Johannes Baldinger
Using Hidden Markov Models for Descriptive and Predictive Analysis of Purchasing Histories. MKWI (2016)