> I'm a 2nd year Ph.D. student at the University of Pennsylvania, where I mostly think about optimization theory, signal processing and machine learning with Prof. Ribeiro.
Before graduate school, I spent some time at Stanford's Kundaje Lab, working on chromatin accessibility prediction and genomic motif discovery. I was also a summer intern at CERN, contributing to the CMS Open Data initiative with Dr. Lassila-Perini.
I'm originally from Montevideo, Uruguay, where I obtained a BSc. in Electrical Engineering from UdelaR . During my undergrad I was a signal processing intern at ProteanTecs , a chip predictive maintenance start-up, and before that, I was a software developer at IBM .
3401 Walnut, Room 405b
Philadelphia, PA, 19104
Most recent publications on Google Scholar.
‡ indicates equal contribution.
Neural Networks with Quantization Constraints.
Ignacio Hounie*, Juan Elenter*, Alejandro Ribeiro
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023.
A Lagrangian Duality Approach to Active Learning
Juan Elenter, Navid NaderiAlizadeh, Alejandro Ribeiro
Neural Information Processing Systems, 2022.
Neural Networks with Quantization Constraints.
Ignacio Hounie*, Juan Elenter*, Alejandro Ribeiro
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023.
A Lagrangian Duality Approach to Active Learning
Juan Elenter, Navid NaderiAlizadeh, Alejandro Ribeiro
Neural Information Processing Systems, 2022.
Full Resume in PDF.
Some stuff I like about my country.
Water is my natural environment.