Khaleelulla Khan Nazeer

According to our database, Khaleelulla Khan Nazeer authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

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

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

Block-local learning with probabilistic latent representations.

David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, 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

A 12-ADC 25-Core Smart MPSoC Using ABB in 22FDX for 77GHz MIMO Radars at 52.6mW Average Power.

Hector A. Gonzalez, Bernhard Vogginger, Chen Liu, Marco Stolba, Florian Kelber, Heiner Bauer, Stefan Hänzsche, Stefan Scholze, Marc Berthel, Tim Rosmeisl, Liyuan Guo, Dennis Walter, Piash Das, Khaleelulla Khan Nazeer, Tilo Schubert, Sebastian Höppner, Christian Mayr

Proceedings of the IEEE Custom Integrated Circuits Conference, 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