Jonathan Timcheck

According to our database, Jonathan Timcheck authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

Evolutionary Mapping of Neural Networks to Spatial Accelerators.

Alessandro Pierro, Jonathan Timcheck, Jason Yik, Marius Lindauer, Eyke Hüllermeier, Marcel Wever

CoRR, February, 2026

A Compute and Communication Runtime Model for Loihi 2.

Jonathan Timcheck, Alessandro Pierro, Sumit Bam Shrestha

CoRR, January, 2026

2025

Eventprop training for efficient neuromorphic applications.

Thomas Shoesmith, James C. Knight, Balazs Meszaros, Jonathan Timcheck, Thomas Nowotny

Proceedings of the Neuro Inspired Computational Elements, 2025

A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing.

Svea Marie Meyer, Philipp Weidel, Philipp Plank, Leobardo Campos-Macias, Sumit Bam Shrestha, Philipp Stratmann, Jonathan Timcheck, Mathis Richter

Proceedings of the Neuro Inspired Computational Elements, 2025

A Complete Pipeline for deploying SNNs with Synaptic Delays on Loihi 2.

Balazs Meszaros, James C. Knight, Jonathan Timcheck, Thomas Nowotny

Proceedings of the International Conference on Neuromorphic Systems, 2025

Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity.

Alessandro Pierro, Steven Abreu, Jonathan Timcheck, Philipp Stratmann, Andreas Wild, Sumit Bam Shrestha

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Efficient Video and Audio Processing with Loihi 2.

Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

The Intel neuromorphic DNS challenge.

Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies

Neuromorph. Comput. Eng., September, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, P. Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

2022

Optimal noise level for coding with tightly balanced networks of spiking neurons in the presence of transmission delays.

Jonathan Timcheck, Jonathan Kadmon, Kwabena Boahen, Surya Ganguli

PLoS Comput. Biol., October, 2022

2020

Predictive coding in balanced neural networks with noise, chaos and delays.

Jonathan Kadmon, Jonathan Timcheck, Surya Ganguli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PyMT5: multi-mode translation of natural language and Python code with transformers.

Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020