Gradient Hyper-parameter Optimization for Manifold Regularization. - Cassiano O. Becker; Paulo A. V. Ferreira (ICMLA (2), 2013)

Approximation of network linear operators using similarity shift filters. - Cassiano O. Becker; Sérgio Daniel Pequito; George J. Pappas; Victor M. Preciado (GlobalSIP, 2016)

Blind subspace system identification with Riemannian optimization. - Cassiano O. Becker; Victor M. Preciado (ACC, 2017)

Identification of State-space Linear Time-varying Systems with Sum-of-norms Regularization. - Cassiano O. Becker; Victor M. Preciado (ACC, 2018)

Variational Inference for Linear Systems with Latent Parameter Space. - Cassiano O. Becker; Victor M. Preciado (ACC, 2019)

Data-driven Stabilization of Nonlinear Systems via Tree-Based Ensemble Learning. - Alp Aydinoglu; Cassiano O. Becker; Victor M. Preciado (CDC, 2019)

Network Design for Controllability Metrics. - Cassiano O. Becker; Sérgio Pequito; George J. Pappas; Victor M. Preciado (IEEE Trans. Control. Netw. Syst., 2020)

Rethinking Node Representation Interpretation through Relation Coherence. - Ying-Chun Lin; Jennifer Neville; Cassiano Becker; Purvanshi Metha; Nabiha Asghar; Vipul Agarwal (CoRR, 2024)

Node Similarities under Random Projections: Limits and Pathological Cases. - Tvrtko Tadic; Cassiano O. Becker; Jennifer Neville (ICLR, 2025)

Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting. - Emmanuel Aboah Boateng; Cassiano O. Becker; Nabiha Asghar; Kabir Walia; Ashwin Srinivasan; Ehi Nosakhare; Soundar Srinivasan; Victor Dibia (NAACL (Industry Track), 2025)