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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…

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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…

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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 43Source ↗PDF ↗Scholar ↗