Luiz F. O. Chamon

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Alejandro RibeiroUniversity of PennsylvaniaEmail yang diverifikasi di seas.upenn.edu
Santiago PaternainRensselaer Polytechnic InstituteEmail yang diverifikasi di rpi.edu
George PappasUPS Foundation Professor, Electrical and Systems Engineering, University of PennsylvaniaEmail yang diverifikasi di seas.upenn.edu
Cassio Guimaraes LopesUniversity of Sao PauloEmail yang diverifikasi di usp.br
Daniel D. LeeTisch University Professor of ECE, Cornell UniversityEmail yang diverifikasi di alum.mit.edu
Mark EisenJohns Hopkins Applied Physics LaboratoryEmail yang diverifikasi di jhuapl.edu
Clark ZhangNuroEmail yang diverifikasi di seas.upenn.edu
Vítor H. NascimentoUniversity of São PauloEmail yang diverifikasi di usp.br
Behnaz ArzaniPrincipal Researcher at Microsoft ResearchEmail yang diverifikasi di microsoft.com
Boon Thau LooRCA Professor of Computer and Information Science, Associate Dean, UPennEmail yang diverifikasi di seas.upenn.edu
Hongqiang Harry LiuUber Technology Inc.Email yang diverifikasi di uber.com
Dionysis KalogeriasYale UniversityEmail yang diverifikasi di yale.edu
Yonina EldarMath and Computer Science, WeizmannEmail yang diverifikasi di weizmann.ac.il
Sylvio Reynaldo BistafaEmail yang diverifikasi di usp.br
Wilder LopesChief Architect (Machine Learning) at Graphstax.ai / Founder of Ogarantia.comEmail yang diverifikasi di ogarantia.com
Michael VorlaenderRWTH Aachen UniversityEmail yang diverifikasi di akustik.rwth-aachen.de
Bruno MasieroUniversity of Campinas (UNICAMP)Email yang diverifikasi di unicamp.br
William D'Andrea FonsecaProfessor da Eng. Acústica, Universidade Federal de Santa MariaEmail yang diverifikasi di eac.ufsm.br
Jitendra PadhyeMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Antonio Macilio Pereira de LucenaUniversidade de Fortaleza (UNIFOR)Email yang diverifikasi di inpe.br

Ikuti

Luiz F. O. Chamon

University of Stuttgart

Email yang diverifikasi di simtech.uni-stuttgart.de - Beranda

Optimization Machine Learning Signal processing Control Statistics


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Learning optimal resource allocations in wireless systems M Eisen, C Zhang, LFO Chamon, DD Lee, A Ribeiro IEEE Transactions on Signal Processing 67 (10), 2775-2790, 2019	249	2019
Constrained reinforcement learning has zero duality gap S Paternain, L Chamon, M Calvo-Fullana, A Ribeiro Advances in Neural Information Processing Systems 32, 2019	194	2019
Greedy sampling of graph signals LFO Chamon, A Ribeiro IEEE Transactions on Signal Processing 66 (1), 34-47, 2017	151	2017
Graphon neural networks and the transferability of graph neural networks L Ruiz, L Chamon, A Ribeiro Advances in Neural Information Processing Systems 33, 1702-1712, 2020	147	2020
007: Democratically finding the cause of packet drops B Arzani, S Ciraci, L Chamon, Y Zhu, HH Liu, J Padhye, BT Loo, ... 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2018	128	2018
Safe policies for reinforcement learning via primal-dual methods S Paternain, M Calvo-Fullana, LFO Chamon, A Ribeiro IEEE Transactions on Automatic Control 68 (3), 1321-1336, 2022	114	2022
Graphon signal processing L Ruiz, LFO Chamon, A Ribeiro IEEE Transactions on Signal Processing 69, 4961-4976, 2021	69	2021
Probably approximately correct constrained learning L Chamon, A Ribeiro Advances in Neural Information Processing Systems 33, 16722-16735, 2020	42	2020
Adversarial robustness with semi-infinite constrained learning A Robey, L Chamon, GJ Pappas, H Hassani, A Ribeiro Advances in Neural Information Processing Systems 34, 6198-6215, 2021	39	2021
Risk-constrained linear-quadratic regulators A Tsiamis, DS Kalogerias, LFO Chamon, A Ribeiro, GJ Pappas 2020 59th IEEE Conference on Decision and Control (CDC), 3040-3047, 2020	37	2020
Approximate supermodularity bounds for experimental design L Chamon, A Ribeiro Advances in Neural Information Processing Systems 30, 2017	37	2017
The mean square error in Kalman filtering sensor selection is approximately supermodular LFO Chamon, GJ Pappas, A Ribeiro 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 343-350, 2017	36	2017
Transferability properties of graph neural networks L Ruiz, LFO Chamon, A Ribeiro IEEE Transactions on Signal Processing, 2023	33	2023
The graphon fourier transform L Ruiz, LFO Chamon, A Ribeiro ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020	33	2020
Combination of adaptive filters with coefficients feedback LFO Chamon, WB Lopes, CG Lopes IEEE International Conference on Acoustics, Speech and Signal Processing …, 2012	33	2012
Probabilistically robust learning: Balancing average and worst-case performance A Robey, L Chamon, GJ Pappas, H Hassani International Conference on Machine Learning, 18667-18686, 2022	31	2022
Constrained learning with non-convex losses LFO Chamon, S Paternain, M Calvo-Fullana, A Ribeiro IEEE Transactions on Information Theory 69 (3), 1739-1760, 2022	30	2022
Approximate supermodularity of Kalman filter sensor selection LFO Chamon, GJ Pappas, A Ribeiro IEEE Transactions on Automatic Control 66 (1), 49-63, 2020	27	2020
State augmented constrained reinforcement learning: Overcoming the limitations of learning with rewards M Calvo-Fullana, S Paternain, LFO Chamon, A Ribeiro IEEE Transactions on Automatic Control, 2023	26	2023
Learning safe policies via primal-dual methods S Paternain, M Calvo-Fullana, LFO Chamon, A Ribeiro 2019 IEEE 58th Conference on Decision and Control (CDC), 6491-6497, 2019	24	2019

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