Hello

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.

Interests/Experience

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.

Publications

• 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

Patents

• 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