My name is Arthur C. W. da Cunha and I’m a Ph.D. student at Université Côte d’Azur in the COATI joint project-team between Inria Sophia Antipolis - Méditerranée and the I3S Laboratory, under the supervision of Emanuele Natale.
I hold a major in Mathematics and a master’s degree in Combinatorics from Universidade Federal do Ceará. There I worked with Prof. Fabricio Benevides on extremal and probabilistic combinatorics. I took part on a neuromorphic computing project while working for Hewlett Packard Enterprise. My ongoing Ph.D. is about neural network pruning. More broadly we are interested in increasing the efficiency of neural networks.
da Cunha, A., d’Amore, F., Giroire, F, Lesfari, H., Natale, E., Viennot, L., 2022, April. Revisiting the Random Subset Sum problem. Research Report. HAL
da Cunha, A., Natale, E. and Viennot, L., 2022, April. Proving the Strong Lottery Ticket Hypothesis for Convolutional Neural Networks. In International Conference on Learning Representations. OpenReview
Aguiar, G.D.S., Silveira, F.P., Lee, E.S., Antunes, R.J.D.R., Souza, J.G.D.C.E., Foltin, M., Cavalcante, J.R.A., Leite, L., Cunha, A.C.W.D., Frazao, M.V. and Trajano, A.F.R., 2022. SYSTEM AND METHOD FOR PROCESSING CONVOLUTIONS ON CROSSBAR-BASED NEURAL NETWORK ACCELERATORS FOR INCREASED INFERENCE THROUGHPUT. U.S. Patent Application 17/027,628. Google Patents
Ambrosi, J.C., Da Cunha, A.C.W. and Cavalcante, J.R.A., Hewlett Packard Enterprise Development LP, 2021. System for a flexible conductance crossbar. U.S. Patent 11,200,948. Google Patents