Dora: Exploring outlier representations in deep neural networks K Bykov, M Deb, D Grinwald, KR Müller, MMC Höhne Transactions on Machine Learning Research, 2023 | 17 | 2023 |
FedZero: Leveraging Renewable Excess Energy in Federated Learning P Wiesner, R Khalili, D Grinwald, P Agrawal, L Thamsen, O Kao ACM International Conference on Future and Sustainable Energy Systems (e-Energy), 2024 | 15 | 2024 |
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks D Grinwald, K Bykov, S Nakajima, MMC Höhne Transactions on Machine Learning Research, 2023 | 6 | 2023 |
Federated Learning over Connected Modes D Grinwald, P Wiesner, S Nakajima The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | 1* | |
Quality Time: Carbon-Aware Quality Adaptation for Energy-Intensive Services P Wiesner, D Grinwald, P Weiß, P Wilhelm, R Khalili, O Kao arXiv preprint arXiv:2411.19058, 2024 | | 2024 |