Christian Mayr

Full Professor, Electrical Engineering, TU Dresden

Joined

July 2019

Names

Christian Mayr (Preferred)

Emails

****@tu-dresden.de (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Full Professor

Electrical Engineering, TU Dresden (tu-dresden.de)

2015 – Present

Advisors, Relations & Conflicts

Coworker

Johannes Partzsch

2008 – Present

Expertise

Neuromorphic circuits

Present

Publications

Event-based backpropagation on the neuromorphic platform SpiNNaker2
Gabriel Béna, Timo Wunderlich, Mahmoud Akl, Bernhard Vogginger, Christian Mayr, Hector Andres Gonzalez
- MLNCP Poster
- Readers: Everyone
Single Train Multi Deploy on Topology Search Spaces using Kshot-Hypernet
Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel
- WANT@ICML 2024 Poster
- Readers: Everyone
Language Modeling on a SpiNNaker 2 Neuromorphic Chip
Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Bernhard Vogginger, Christian Mayr, David Kappel, Anand Subramoney
- OpenReview Archive Direct Upload
- Readers: Everyone
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
- OpenReview Archive Direct Upload
- Readers: Everyone
A variational framework for local learning with probabilistic latent representations
David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney
- PML4LRS Poster
- Readers: Everyone
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning
Hector Andres Gonzalez, Jiaxin Huang, Florian Kelber, Khaleelulla Khan Nazeer, Tim Hauke Langer, Chen Liu, Matthias Aleander Lohrmann, Amirhossein Rostami, Mark Schöne, Bernhard Vogginger, Timo Wunderlich, Yexin Yan, Mahmoud Akl, Christian Mayr
- MLNCP Oral
- Readers: Everyone
Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference
Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, Anand Subramoney
- MLNCP Poster
- Readers: Everyone
Block-local learning with probabilistic latent representations
David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney
- Submitted to ICLR 2024
- Readers: Everyone
Block-local learning with probabilistic latent representations
David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney
- Submitted to NeurIPS 2023
- Readers: Everyone
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 notable top 25%
- Readers: Everyone

View all 13 publications

Co-Authors

View all 27 co-authors