Rafael Fontella Katopodis

According to our database, Rafael Fontella Katopodis authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

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

2022

Functional gradient descent for <i>n</i>-tuple regression.

Rafael Fontella Katopodis, Priscila M. V. Lima, Felipe M. G. França

Neurocomputing, 2022

LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks.

Igor D. S. Miranda, Aman Arora, Zachary Susskind, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Diego Leonel Cadette Dutra, Leandro Santiago de Araújo, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John, Maurício Breternitz

Proceedings of the 33rd IEEE International Conference on Application-specific Systems, 2022

Weightless Neural Networks for Efficient Edge Inference.

Zachary Susskind, Aman Arora, Igor D. S. Miranda, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz, Lizy K. John

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Functional Gradient Descent for n-Tuple Regression.

Rafael Fontella Katopodis, Priscila Lima, Felipe M. G. França

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021