Matthias Reisser

18 papers A* 3A 2Journal 10Unranked 3

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