| Efficient recurrent architectures through activity sparsity and sparse back-propagation through time A Subramoney, KK Nazeer, M Schöne, C Mayr, D Kappel International Conference on Learning Representations, 2023 | 25 | 2023 |
| SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning HA Gonzalez, J Huang, F Kelber, KK Nazeer, T Langer, C Liu, ... NeurIPS 2023 Workshop on Machine Learning with New Compute Paradigms, 2024 | 15 | 2024 |
| Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models M Schöne, NM Sushma, J Zhuge, C Mayr, A Subramoney, D Kappel International Conference on Neuromorphic Systems, 2024 | 11 | 2024 |
| Language Modeling on a SpiNNaker2 Neuromorphic Chip KK Nazeer, M Schöne, R Mukherji, B Vogginger, C Mayr, D Kappel, ... 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS …, 2024 | 4 | 2024 |
| Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference R Mukherji, M Schöne, KK Nazeer, C Mayr, A Subramoney NeurIPS 2023 Workshop on Machine Learning with New Compute Paradigms, 2023 | 2 | 2023 |
| EGRU: Event-based GRU for activity-sparse inference and learning A Subramoney, KK Nazeer, M Schöne, C Mayr, D Kappel | 2 | 2022 |
| Implicit Language Models are RNNs: Balancing Parallelization and Expressivity M Schöne, B Rahmani, H Kremer, F Falck, H Ballani, J Gladrow arXiv preprint arXiv:2502.07827, 2025 | | 2025 |
| STREAM: A Universal State-Space Model for Sparse Geometric Data M Schöne, Y Bhisikar, K Bania, KK Nazeer, C Mayr, A Subramoney, ... arXiv preprint arXiv:2411.12603, 2024 | | 2024 |
| A Graph Multi-separator Problem for Image Segmentation J Irmai, S Zhao, M Schöne, J Presberger, B Andres Journal of Mathematical Imaging and Vision 66 (5), 839-872, 2024 | | 2024 |
| Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models R Mukherji, M Schöne, KK Nazeer, C Mayr, D Kappel, A Subramoney ACM/IEEE International Conference on Neuromorphic Systems, 2024 | | 2024 |
| An efficient RNN Language Model using activity sparsity and sparse back-propagation through time M Schöne, KK Nazeer, C Mayr, D Kappel, A Subramoney 2nd Workshop on Efficient Natural Language and Speech Processing, 2022 | | 2022 |
| Method, Computer Program, Storage Medium and Apparatus for Creating a Training, Validation and Test Dataset for an AI Module M Schoene, AP Condurache, C Claeser, F Faion, J Ebert, L Rosenbaum, ... US Patent US20220083820A1, 2022 | | 2022 |
Christian MayrProfessor, Technische Universität DresdenVerified email at tu-dresden.de