Santiago Paternain
Santiago Paternain
確認したメール アドレス: seas.upenn.edu - ホームページ
タイトル引用先
Prediction-correction interior-point method for time-varying convex optimization
M Fazlyab, S Paternain, VM Preciado, A Ribeiro
IEEE Transactions on Automatic Control 63 (7), 1973-1986, 2017
362017
Design and implementation of sensor data fusion for an autonomous quadrotor
M Tailanián, S Paternain, R Rosa, R Canetti
2014 IEEE International Instrumentation and Measurement Technology …, 2014
352014
Navigation Functions for Convex Potentials in a Space with Convex Obstacles
S Paternain, DE Koditschek, A Ribeiro
IEEE Transactions on Automatic Control, 2015
222015
Interior point method for dynamic constrained optimization in continuous time
M Fazlyab, S Paternain, VM Preciado, A Ribeiro
2016 American Control Conference (ACC), 5612-5618, 2016
212016
Online Learning of Feasible Strategies in Unknown Environments
A Paternain, Santiago: Ribeiro
IEEE Transactions on Automatic Control 62 (6), 2807-2822, 2017
18*2017
Online Learning of Feasible Strategies in Unknown Environments
S Paternain, A Ribeiro
American Control Conference (ACC), 4231-4238, 2015
182015
Decentralized online learning with kernels
A Koppel, S Paternain, C Richard, A Ribeiro
IEEE Transactions on Signal Processing 66 (12), 3240-3255, 2018
172018
A prediction-correction method for model predictive control
S Paternain, M Morari, A Ribeiro
2018 Annual American Control Conference (ACC), 4189-4194, 2018
92018
Stochastic Control Foundations of Autonomous Behavior
S Paternain
72018
A second order method for nonconvex optimization
S Paternain, A Mokhtari, A Ribeiro
arXiv preprint arXiv:1707.08028, 2017
72017
Calibration of an inertial measurement unit
S Paternain, M Tailanián, R Canetti
2013 16th International Conference on Advanced Robotics (ICAR), 1-6, 2013
62013
A Newton-based method for nonconvex optimization with fast evasion of saddle points
S Paternain, A Mokhtari, A Ribeiro
SIAM Journal on Optimization 29 (1), 343-368, 2019
52019
Distributed smooth and strongly convex optimization with inexact dual methods
M Fazlyab, S Paternain, A Ribeiro, VM Preciado
2018 Annual American Control Conference (ACC), 3768-3773, 2018
52018
Decentralized efficient nonparametric stochastic optimization
A Koppel, S Paternain, C Richard, A Ribeiro
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017
52017
Stochastic Artificial Potentials for Online Safe Navigation
S Paternain, A Ribeiro
IEEE Transactions on Automatic Control (Under Revision), 2016
52016
Stochastic policy gradient ascent in reproducing kernel hilbert spaces
S Paternain, JA Bazerque, A Small, A Ribeiro
arXiv preprint arXiv:1807.11274, 2018
42018
Distributed constrained online learning
S Paternain, S Lee, MM Zavlanos, A Ribeiro
arXiv preprint arXiv:1903.06310, 2019
32019
Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models
M Peifer, LFO Chamon, S Paternain, A Ribeiro
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
22019
Locally adaptive kernel estimation using sparse functional programming
M Peifer, CL FO, S Paternain, A Ribeiro
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2022-2026, 2018
22018
Safe online navigation of convex potentials in spaces with convex obstacles
S Paternain, A Ribeiro
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2473-2478, 2017
22017
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