Gradient target propagation. - Tiago de Souza Farias; Jonas Maziero (CoRR, 2018)

Feature Alignment for Approximated Reversibility in Neural Networks. - Tiago de Souza Farias; Jonas Maziero (CoRR, 2021)

Feature alignment as a generative process. - Tiago de Souza Farias; Jonas Maziero (Frontiers Artif. Intell., 2022)

Redes neurais reversíveis e caracterização de problemas físicos através de programação diferenciável - Tiago de Souza Farias (2023)

Barren plateaus induced by the dimension of qudits. - Lucas Friedrich; Tiago de Souza Farias; Jonas Maziero (CoRR, 2024)

A differentiable programming framework for spin models. - Tiago de Souza Farias; Vitor Vaz Schultz; José C. M. Mombach; Jonas Maziero (Comput. Phys. Commun., 2024)

QuForge: A library for qudits simulation. - Tiago de Souza Farias; Lucas Friedrich; Jonas Maziero (Comput. Phys. Commun., 2025)

MixFunn: A Neural Network for Differential Equations with Improved Generalization and Interpretability. - Tiago de Souza Farias; Gubio Gomes de Lima; Jonas Maziero; Celso Jorge Villas-Bôas (CoRR, 2025)

Barren plateaus are amplified by the dimension of qudits. - Lucas Friedrich; Tiago de Souza Farias; Jonas Maziero (Quantum Mach. Intell., 2025)