Alan T. L. Bacellar

Orcid: 0000-0002-3346-7665

According to our database1, Alan T. L. Bacellar authored at least 11 papers between 2020 and 2024.

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Bibliography

2024
Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inference.
CoRR, 2024

LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

Soon Filter: Advancing Tiny Neural Architectures for High Throughput Edge Inference.
Proceedings of the International Joint Conference on Neural Networks, 2024

Differentiable Weightless Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks.
ACM Trans. Archit. Code Optim., December, 2023

A conditional branch predictor based on weightless neural networks.
Neurocomputing, October, 2023

An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection.
Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

2022
A WiSARD-based conditional branch predictor.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022


Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2020
Fast Deep Neural Networks Convergence using a Weightless Neural Model.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020


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