Luiz Chamon
© 2020–2021. All rights reserved.
© 2020–2021. All rights reserved.
My name is Luiz Chamon. I study the theoretical underpinnings of constrained learning and its applications in signal processing, control, and machine learning.
I am currently on the academic job market. You can find a 5-minute video pitch of my research plan and more information in my virtual application package.
January 18th, 2021 – Check out our paper this week at EUSIPCO 2020: "Graphon filters: Signal processing in very large graphs" (Wednesday 9:10am, EST) [paper]
January 8th, 2021 – I am interviewing at the Johns Hopkins Mathematical Institute for Data Science (MINDS).
January 6th, 2021 – I am interviewing at the Toyota Technological Institute at Chicago (TTIC).
December 30th, 2020 – "Approximate supermodularity of Kalman filter sensor selection" published on IEEE TAC (paper, IEEEXplore).
December 15th, 2020 – Check out my papers at IEEE CDC this week:
December 5th, 2020 – Check out my papers at NeurIPS next week:
December 3rd, 2020 – I've released the first version of csl, a python package for constrained learning. You can get the package on GitHub and check out applications in fairness and robustness in the documentations.
October 13th, 2020 – "Probably Approximately Correct Constrained Learning" (arXiv) and "Transferability of Graphon Neural Networks" (arXiv) accepted at NeurIPS 2020.
September 5th, 2020 – "Resilient control: Compromising to adapt" (arXiv) and "Risk-constrained linear-quadratic regulators" (arXiv) accepted at IEEE CDC 2020.
May 5th, 2020 – I received the best student paper and best paper awards at ICASSP 2020. Check out papers [1, 2] and video [1].
April 1st, 2020 – New preprint: "Graphon signal processing" submitted to IEEE TSP (arXiv).
March 20th, 2020 – "Functional nonlinear sparse models" was accepted for publication on IEEE TSP (arXiv).
February 7th, 2020 – Patent "Sparse cascaded-integrator-comb filters" with Analog Devices is out.