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Jonathan Timcheck

3 accepted papers

2025

Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity

ICML 2025poster

Linear recurrent neural networks enable powerful long-range sequence modeling with constant memory usage and time-per-token during inference. These architectures hold promise for streaming applications at the edge, but deployment in resource-constrained environments requires hardware-aware optimizat…

Cited by 0SourcePDFScholar
2024

Efficient Video and Audio Processing with Loihi 2

ICASSP 2024accepted

Loihi 2 is an asynchronous, brain-inspired research processor that generalizes several fundamental elements of neuromorphic architecture, such as stateful neuron models communicating with event-driven spikes, in order to address limitations of the first generation Loihi. Here we explore and characte…

Cited by 0SourceScholar
2020

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

NeurIPS 2020poster

Biological neural networks face a formidable task: performing reliable computations in the face of intrinsic stochasticity in individual neurons, imprecisely specified synaptic connectivity, and nonnegligible delays in synaptic transmission. A common approach to combatting such biological heterogen…

Cited by 43SourcePDFScholar