Guilherme França

Universidade Estadual Paulista (Unesp) — Brazil

Engineering · Physical Sciences

9h-index228citations36works0.02yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(8), Stochastic Gradient Optimization Techniques(8), Analytic Number Theory Research(7), Model Reduction and Neural Networks(7), Nonlinear Waves and Solitons(6)

Publications36 total

Complex KdV rogue waves from gauge-Miura transformation
Journal of Physics Conference Series·2023· 1 citedOpen Access
Negative flows of generalized KdV and mKdV hierarchies and their gauge-Miura transformations
Journal of High Energy Physics·2023· 9 citedOpen Access
Negative flows of generalized KdV and mKdV hierarchies and their gauge-Miura transformations
arXiv (Cornell University)·2023Open Access
A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM
IEEE Transactions on Automatic Control·2023· 26 citedOpen Access
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents
arXiv (Cornell University)·2022· 5 citedOpen Access
Geometric methods for sampling, optimization, inference, and adaptive agents
Handbook of statistics·2022· 8 cited
Optimization on manifolds: A symplectic approach
arXiv (Cornell University)·2021· 3 citedOpen Access
Optimization on manifolds: A symplectic approach
arXiv (Cornell University)·2021· 5 citedOpen Access
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models
2021· 7 cited
Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization
Physical review. E·2021· 15 citedOpen Access
Implicit Acceleration of Gradient Flow in Overparameterized Linear Models
2021
Distributed Optimization, Averaging via ADMM, and Network Topology
Proceedings of the IEEE·2020· 1 citedOpen Access
Gradient Flows and Accelerated Proximal Splitting Methods.
arXiv (Cornell University)·2019· 9 citedOpen Access
Conformal Symplectic and Relativistic Optimization
arXiv (Cornell University)·2019· 1 citedOpen Access
A Dynamical Systems Perspective on Nonsmooth Constrained Optimization
arXiv (Cornell University)·2018· 11 citedOpen Access
A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM
arXiv (Cornell University)·2018· 2 citedOpen Access
Relax, and Accelerate: A Continuous Perspective on ADMM
arXiv (Cornell University)·2018· 1 citedOpen Access
An Explicit Convergence Rate for Nesterov's Method from SDP
2018· 6 cited
ADMM and Accelerated ADMM as Continuous Dynamical Systems
arXiv (Cornell University)·2018· 38 citedOpen Access
An Explicit Convergence Rate for Nesterov's Method from SDP
arXiv (Cornell University)·2018Open Access
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Frequent Co-authors

André LeClair(10), Daniel P. Robinson(8), Renè Vidal(8), J. F. Gomes(6), A. H. Zímerman(6), José Bento(5), Alessandro Barp(4), Mark Girolami(4), Michael I. Jordan(4), Y. F. Adans(3), G. V. Lobo(3), René Víctor Valqui Vidal(2), Lancelot Da Costa(2), Karl Friston(2), Grigorios A. Pavliotis(2), Salma Tarmoun(2), Benjamin D. Haeffele(2), Sam Safavi(2), Bikash Joshi(2), Joshua T Vogelstein(1)