69 citations · 91 across the 8 of their papers we have counts for
8 papers
A Complete Pipeline for deploying SNNs with Synaptic Delays on Loihi 2
Balázs Mészáros, James C. Knight, Jonathan Timcheck +1
Spiking Neural Networks are attracting increased attention as a more energy-efficient alternative to traditional Artificial Neural Networks for edge computing. Neuromorphic computi…
Eventprop training for efficient neuromorphic applications
Thomas Shoesmith, James C. Knight, Balázs Mészáros +2
Neuromorphic computing can reduce the energy requirements of neural networks and holds the promise to `repatriate' AI workloads back from the cloud to the edge. However, training n…
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity
Alessandro Pierro, Steven Abreu, Jonathan Timcheck +3
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 s…
Efficient Video and Audio processing with Loihi 2
Sumit Bam Shrestha, Jonathan Timcheck, Paxon Frady +2
Loihi 2 is an asynchronous, brain-inspired research processor that generalizes several fundamental elements of neuromorphic architecture, such as stateful neuron models communicati…
The Intel Neuromorphic DNS Challenge
Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin +5
A critical enabler for progress in neuromorphic computing research is the ability to transparently evaluate different neuromorphic solutions on important tasks and to compare them…
PyMT5: multi-mode translation of natural language and Python code with transformers
Colin B. Clement, Dawn Drain, Jonathan Timcheck +2
Simultaneously modeling source code and natural language has many exciting applications in automated software development and understanding. Pursuant to achieving such technology,…
Predictive coding in balanced neural networks with noise, chaos and delays
Jonathan Kadmon, Jonathan Timcheck, Surya Ganguli
Biological neural networks face a formidable task: performing reliable computations in the face of intrinsic stochasticity in individual neurons, imprecisely specified synaptic con…
Search for the standard model Higgs boson produced in association with a top-quark pair in pp collisions at the LHC
CMS Collaboration
A search for the standard model Higgs boson produced in association with a top-quark pair is presented using data samples corresponding to an integrated luminosity of 5.0 inverse f…