A high-dimensional VARX model to simulate monthly renewable energy supply. - Mario Souto; Alexandre Moreira; Álvaro Veiga; Alexandre Street; Joaquim Dias Garcia; Camila Epprecht (PSCC, 2014)

An optimal polarization tracking algorithm for Lithium-Niobate-based polarization controllers. - Joaquim Dias Garcia; Gustavo C. Amaral 001 (SAM, 2016)

ℓ1 Adaptive trend filter via fast coordinate descent. - Mario Souto; Joaquim Dias Garcia; Gustavo C. Amaral 001 (SAM, 2016)

High resolution automatic fault detection in a fiber optic link via photon counting OTDR. - Luis E. Y. Herrera; Felipe Calliari; Joaquim Dias Garcia; Gustavo C. Amaral 001; Jean Pierre von der Weid (OFC, 2016)

In-service location of multiple fiber faults in WDM/SCM-PONs with low-frequency stepwise sweep and l1 regularization. - Gustavo C. Amaral 001; Joaquim Dias Garcia; Bruno Fanzeres; Patryk J. Urban; Jean Pierre von der Weid (OFC, 2017)

Fast Polarization Switch for Polarization-based Quantum Communication. - Vinicius Lima; Gustavo C. Amaral 001; Felipe Calliari; Guilherme P. Temporão; Jean Pierre von der Weid; Joaquim Dias Garcia; João Pedro Garcia (PHOTOPTICS, 2017)

Modelling power markets with multi-stage stochastic Nash equilibria. - Joaquim Dias Garcia; Raphael Chabar (CoRR, 2019)

Reliability-Constrained Power System Expansion Planning: A Stochastic Risk-Averse Optimization Approach. - Luiz Carlos da Costa Jr.; Fernanda Souza Thomé; Joaquim Dias Garcia; Mario V. F. Pereira (CoRR, 2019)

Community Detection for Power Systems Network Aggregation Considering Renewable Variability. - Raphael Araujo Sampaio; Gerson Couto Oliveira; Luiz Carlos da Costa Jr.; Joaquim Dias Garcia (CoRR, 2019)

Application of Progressive Hedging to Var Expansion Planning Under Uncertainty. - Igor Carvalho; Tiago Andrade; Joaquim Dias Garcia; Maria de Lujan Latorre (CoRR, 2020)

Multiscale Stochastic Simulation of the US Pacific Northwest Using Distributed Computing and Databases with Integrated Inflow and Variable Renewable Energy. - Joaquim Dias Garcia; Guilherme Machado; André Dias; Gerson Couto Oliveira; John Ollis; John Fazio; Daniel Hua (CoRR, 2020)

Assessing the Cost of Network Simplifications in Long-Term Hydrothermal Dispatch Planning Models. - Andrew W. Rosemberg; Alexandre Street; Joaquim Dias Garcia; Davi Michel Valladão; Thuener Silva; Oscar Dowson (CoRR, 2021)

An Integrated Progressive Hedging and Benders Decomposition with Multiple Master Method to Solve the Brazilian Generation Expansion Problem. - Alessandro Soares; Alexandre Street; Tiago Andrade; Joaquim Dias Garcia (CoRR, 2021)

BilevelJuMP.jl: Modeling and Solving Bilevel Optimization in Julia. - Joaquim Dias Garcia; Guilherme Bodin; Alexandre Street (CoRR, 2022)

JuMP 1.0. - Miles Lubin; Oscar Dowson; Joaquim Dias Garcia; Joey Huchette; Benoît Legat; Juan Pablo Vielma (CoRR, 2022)

MathOptInterface: A Data Structure for Mathematical Optimization Problems. - Benoît Legat; Oscar Dowson; Joaquim Dias Garcia; Miles Lubin (INFORMS J. Comput., 2022)

Regularization and Global Optimization in Model-Based Clustering. - Raphael Araujo Sampaio; Joaquim Dias Garcia; Marcus Poggi; Thibaut Vidal (CoRR, 2023)

A Multicut Approach to Compute Upper Bounds for Risk-Averse SDDP. - Joaquim Dias Garcia; Iago Leal; Raphael Chabar; Mario Veiga Pereira (CoRR, 2023)

Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks. - Andrew W. Rosemberg; Mathieu Tanneau; Bruno Fanzeres; Joaquim Dias Garcia; Pascal Van Hentenryck (CoRR, 2023)

JuMP 1.0: recent improvements to a modeling language for mathematical optimization. - Miles Lubin; Oscar Dowson; Joaquim Dias Garcia; Joey Huchette; Benoît Legat; Juan Pablo Vielma (Math. Program. Comput., 2023)

Long-term Hydrothermal Bid-based Market Simulator. - Joaquim Dias Garcia; Alexandre Street; Mario Veiga Pereira (CoRR, 2024)

Assessing the Optimistic Bias in the Natural Inflow Forecasts: A Call for Model Monitoring in Brazil. - Arthur Brigatto; Alexandre Street; Cristiano Fernandes; Davi Michel Valladão; Guilherme Bodin; Joaquim Dias Garcia (CoRR, 2024)

Flexible Differentiable Optimization via Model Transformations. - Mathieu Besançon; Joaquim Dias Garcia; Benoît Legat; Akshay Sharma (INFORMS J. Comput., 2024)

BilevelJuMP.jl: Modeling and Solving Bilevel Optimization Problems in Julia. - Joaquim Dias Garcia; Guilherme Bodin; Alexandre Street (INFORMS J. Comput., 2024)

Regularization and optimization in model-based clustering. - Raphael Araujo Sampaio; Joaquim Dias Garcia; Marcus Poggi; Thibaut Vidal (Pattern Recognit., 2024)

Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting. - Joaquim Dias Garcia; Alexandre Street; Tito Homem-de-Mello; Francisco D. Muñoz (Oper. Res., 2025)

Sobolev Training of End-to-End Optimization Proxies. - Andrew W. Rosemberg; Joaquim Dias Garcia; Russell Bent; Pascal Van Hentenryck (CoRR, 2025)