Alan T. L. Bacellar

According to our database, Alan T. L. Bacellar authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips.

Alan T. L. Bacellar, Sathvik Chemudupati, Shashank Nag, Allison Seigler, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John

CoRR, March, 2026

Weightless Neural Networks on Flexible Substrates: A Novel Approach to Wearable Machine Learning.

Igor D. S. Miranda, Velu Pillai, Tejas Musale, Mugdha P. Jadhao, Paulo C. R. Souza Neto, Zachary Susskind, Alan T. L. Bacellar, Mael Lhostis, Priscila M. V. Lima, Diego L. C. Dutra, Eugene B. John, Maurício Breternitz, Felipe M. G. França, Emre Ozer, Lizy K. John

IEEE Trans. Very Large Scale Integr. Syst., February, 2026

2025

Single-Round Scalable Analytic Federated Learning.

Alan T. L. Bacellar, Mustafa Munir, Felipe M. G. França, Priscila M. V. Lima, Radu Marculescu, Lizy K. John

CoRR, December, 2025

LL-ViT: Edge Deployable Vision Transformers with Look Up Table Neurons.

Shashank Nag, Alan T. L. Bacellar, Zachary Susskind, Anshul Jha, Logan Liberty, Aishwarya Sivakumar, Eugene B. John, Krishnan Kailas, Priscila M. V. Lima, Neeraja J. Yadwadkar, Felipe M. G. França, Lizy K. John

CoRR, November, 2025

nanoML for Human Activity Recognition.

Alan T. L. Bacellar, Mugdha P. Jadhao, Shashank Nag, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John

CoRR, February, 2025

Hybrid Weightless Neural Networks for Efficient Edge Inference.

Mugdha P. Jadhao, Alan T. L. Bacellar, Shashank Nag, Igor D. S. Miranda, Felipe M. G. França, Lizy K. John

Proceedings of the 35th International Conference on Field-Programmable Logic and Applications, 2025

2024

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

Shashank Nag, Alan T. L. Bacellar, Zachary Susskind, Anshul Jha, Logan Liberty, Aishwarya Sivakumar, Eugene B. John, Krishnan Kailas, Priscila M. V. Lima, Neeraja J. Yadwadkar, Felipe M. G. França, Lizy K. John

CoRR, 2024

LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA.

Shashank Nag, Zachary Susskind, Aman Arora, Alan T. L. Bacellar, Diego L. C. Dutra, Igor D. S. Miranda, Krishnan Kailas, Eugene B. John, Maurício Breternitz, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

Soon Filter: Advancing Tiny Neural Architectures for High Throughput Edge Inference.

Alan T. L. Bacellar, Zachary Susskind, Maurício Breternitz, Lizy K. John, Felipe M. G. França, Priscila M. V. Lima

Proceedings of the International Joint Conference on Neural Networks, 2024

Differentiable Weightless Neural Networks.

Alan Tendler Leibel Bacellar, Zachary Susskind, Maurício Breternitz Jr., Eugene John, Lizy Kurian John, Priscila Machado Vieira Lima, Felipe M. G. França

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks.

Zachary Susskind, Aman Arora, Igor D. S. Miranda, Alan T. L. Bacellar, Luis A. Q. Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego L. C. Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz, Lizy K. John

ACM Trans. Archit. Code Optim., December, 2023

A conditional branch predictor based on weightless neural networks.

Luis A. Q. Villon, Zachary Susskind, Alan T. L. Bacellar, Igor D. S. Miranda, Leandro Santiago de Araújo, Priscila M. V. Lima, Maurício Breternitz, Lizy K. John, Felipe M. G. França, Diego Leonel Cadette Dutra

Neurocomputing, October, 2023

An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection.

Zachary Susskind, Aman Arora, Alan T. L. Bacellar, Diego Leonel Cadette Dutra, Igor D. S. Miranda, Maurício Breternitz, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

2022

A WiSARD-based conditional branch predictor.

Luis A. Q. Villon, Zachary Susskind, Alan T. L. Bacellar, Igor D. S. Miranda, Leandro Santiago de Araújo, Priscila M. V. Lima, Maurício Breternitz Jr., Lizy K. John, Felipe M. G. França, Diego Leonel Cadette Dutra

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Pruning Weightless Neural Networks.

Zachary Susskind, Alan T. L. Bacellar, Aman Arora, Luis A. Q. Villon, Renan Mendanha, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. França, Igor D. S. Miranda, Maurício Breternitz Jr., Lizy K. John

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks.

Alan T. L. Bacellar, Zachary Susskind, Luis A. Q. Villon, Igor D. S. Miranda, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Maurício Breternitz Jr., Lizy K. John, Priscila M. V. Lima, Felipe M. G. França

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2020

Fast Deep Neural Networks Convergence using a Weightless Neural Model.

Alan T. L. Bacellar, Brunno F. Goldstein, Victor da Cruz Ferreira, Leandro Santiago, Priscila M. V. Lima, Felipe M. G. França

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020