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Mark Schöne
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2020 – today
- 2024
- [c2]Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Bernhard Vogginger, Christian Mayr, David Kappel, Anand Subramoney:
Language Modeling on a SpiNNaker2 Neuromorphic Chip. AICAS 2024: 492-496 - [i6]Hector A. Gonzalez, Jiaxin Huang, Florian Kelber, Khaleelulla Khan Nazeer, Tim Langer, Chen Liu, Matthias Lohrmann, Amirhossein Rostami, Mark Schöne, Bernhard Vogginger, Timo C. Wunderlich, Yexin Yan, Mahmoud Akl, Christian Mayr:
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning. CoRR abs/2401.04491 (2024) - [i5]Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel:
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models. CoRR abs/2404.18508 (2024) - [i4]Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney:
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. CoRR abs/2405.00433 (2024) - 2023
- [c1]Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel:
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time. ICLR 2023 - [i3]Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, Anand Subramoney:
Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference. CoRR abs/2311.07625 (2023) - [i2]Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Christian Mayr, David Kappel, Anand Subramoney:
Language Modeling on a SpiNNaker 2 Neuromorphic Chip. CoRR abs/2312.09084 (2023) - 2022
- [i1]Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel:
EGRU: Event-based GRU for activity-sparse inference and learning. CoRR abs/2206.06178 (2022)
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