William Severa

Orcid: 0000-0002-8740-220X

According to our database1, William Severa authored at least 35 papers between 2010 and 2024.

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Bibliography

2024
The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning.
CoRR, 2024

2023
Research Challenges for Energy-Efficient Computing in Automated Vehicles.
Computer, March, 2023

Neuromorphic Co-Design as a Game.
CoRR, 2023

Stochastic Neuromorphic Circuits for Solving MAXCUT.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Synaptic Sampling of Neural Networks.
Proceedings of the IEEE International Conference on Rebooting Computing, 2023

Neuromorphic Population Evaluation using the Fugu Framework.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022
A review of non-cognitive applications for neuromorphic computing.
Neuromorph. Comput. Eng., June, 2022

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

2021
Neuromorphic scaling advantages for energy-efficient random walk computation.
CoRR, 2021

Provable Advantages for Graph Algorithms in Spiking Neural Networks.
Proceedings of the SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 2021

Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling.
Proceedings of the 2021 International Conference on Rebooting Computing (ICRC), Los Alamitos, CA, USA, November 30, 2021

Spiking Neural Streaming Binary Arithmetic.
Proceedings of the 2021 International Conference on Rebooting Computing (ICRC), Los Alamitos, CA, USA, November 30, 2021

2020
Provable Neuromorphic Advantages for Computing Shortest Paths.
Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Evaluating complexity and resilience trade-offs in emerging memory inference machines.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Solving a steady-state PDE using spiking networks and neuromorphic hardware.
Proceedings of the International Conference on Neuromorphic Systems, 2020

Effective Pruning of Binary Activation Neural Networks.
Proceedings of the International Conference on Neuromorphic Systems, 2020

2019
Training deep neural networks for binary communication with the Whetstone method.
Nat. Mach. Intell., 2019

Benchmarking Event-Driven Neuromorphic Architectures.
Proceedings of the International Conference on Neuromorphic Systems, 2019

Composing neural algorithms with Fugu.
Proceedings of the International Conference on Neuromorphic Systems, 2019

Dynamic Programming with Spiking Neural Computing.
Proceedings of the International Conference on Neuromorphic Systems, 2019

2018
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future.
CoRR, 2018

Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication.
CoRR, 2018

Spiking Neural Algorithms for Markov Process Random Walk.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
A Combinatorial Model for Dentate Gyrus Sparse Coding.
Neural Comput., 2017

Context-modulation of hippocampal dynamics and deep convolutional networks.
CoRR, 2017

Data-driven Feature Sampling for Deep Hyperspectral Classification and Segmentation.
CoRR, 2017

Neural computing for scientific computing applications: more than just machine learning.
Proceedings of the Neuromorphic Computing Symposium, 2017

Neurogenesis deep learning: Extending deep networks to accommodate new classes.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Spike-Timing Neuromorphic Architecture.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016
Spiking network algorithms for scientific computing.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016

2012
Avoiding abelian squares in partial words.
J. Comb. Theory A, 2012

2010
Abelian Square-Free Partial Words.
Proceedings of the Language and Automata Theory and Applications, 2010


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