Time and order estimation of paintings based on visual features and expert priors. - Ricardo Silveira Cabral; João Paulo Costeira; Fernando De la Torre; Alexandre Bernardino; Gustavo Carneiro 001 (Computer Vision and Image Analysis of Art, 2011)

Fast incremental method for matrix completion: An application to trajectory correction. - Ricardo Silveira Cabral; João Paulo Costeira; Fernando De la Torre; Alexandre Bernardino (ICIP, 2011)

Matrix Completion for Multi-label Image Classification. - Ricardo Silveira Cabral; Fernando De la Torre; João Paulo Costeira; Alexandre Bernardino (NIPS, 2011)

Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition. - Ricardo Silveira Cabral; Fernando De la Torre; João Paulo Costeira; Alexandre Bernardino (ICCV, 2013)

Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization. - Ehsan Adeli-Mosabbeb; Ricardo Silveira Cabral; Fernando De la Torre; Mahmood Fathy (ACCV (5), 2014)

Optimal no-intersection multi-label binary localization for time series using totally unimodular linear programming. - Ricardo Silveira Cabral; João Paulo Costeira; Alexandre Bernardino; Fernando De la Torre (ICIP, 2014)

Matrix Completion for Weakly-Supervised Multi-Label Image Classification. - Ricardo Silveira Cabral; Fernando De la Torre; João Paulo Costeira; Alexandre Bernardino (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Unifying Low-Rank Models for Visual Learning. - Ricardo Silveira Cabral (2015)

Motion from Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories. - Jayakorn Vongkulbhisal; Ricardo Silveira Cabral; Fernando De la Torre; João Paulo Costeira (CVPR, 2016)

Robust Regression. - Dong Huang 007; Ricardo Silveira Cabral; Fernando De la Torre (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Feature and Region Selection for Visual Learning. - Ji Zhao 001; Liantao Wang; Ricardo Silveira Cabral; Fernando De la Torre (IEEE Trans. Image Process., 2016)

PINs: Progressive Implicit Networks for Multi-Scale Neural Representations. - Zoe Landgraf; Alexander Sorkine-Hornung; Ricardo Silveira Cabral (ICML, 2022)

MLGym: A New Framework and Benchmark for Advancing AI Research Agents. - Deepak Nathani; Lovish Madaan; Nicholas Roberts; Nikolay Bashlykov; Ajay Menon; Vincent Moens; Amar Budhiraja; Despoina Magka; Vladislav Vorotilov; Gaurav Chaurasia; Dieuwke Hupkes; Ricardo Silveira Cabral; et al. (CoRR, 2025)

Logic.py: Bridging the Gap between LLMs and Constraint Solvers. - Pascal Kesseli; Peter W. O'Hearn; Ricardo Silveira Cabral (CoRR, 2025)