Mark Schöne

According to our database, Mark Schöne authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Graph Multi-separator Problem for Image Segmentation.

Jannik Irmai, Shengxian Zhao, Mark Schöne, Jannik Presberger, Bjoern Andres

J. Math. Imaging Vis., October, 2024

SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning.

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

CoRR, 2024

Scalable Event-by-Event Processing of Neuromorphic Sensory Signals with Deep State-Space Models.

Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel

Proceedings of the International Conference on Neuromorphic Systems, 2024

Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models.

Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney

Proceedings of the International Conference on Neuromorphic Systems, 2024

Language Modeling on a SpiNNaker2 Neuromorphic Chip.

Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Bernhard Vogginger, Christian Mayr, David Kappel, Anand Subramoney

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Language Modeling on a SpiNNaker 2 Neuromorphic Chip.

Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Christian Mayr, David Kappel, Anand Subramoney

CoRR, 2023

Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference.

Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, Anand Subramoney

CoRR, 2023

Efficient recurrent architectures through activity sparsity and sparse back-propagation through time.

Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

EGRU: Event-based GRU for activity-sparse inference and learning.

Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel

CoRR, 2022