Almost Sure Convergence of Dropout Algorithms for Neural Networks. - Albert Senen-Cerda; Jaron Sanders (CoRR, 2020)

Universal Approximation in Dropout Neural Networks. - Oxana A. Manita; Mark A. Peletier; Jacobus W. Portegies; Jaron Sanders; Albert Senen-Cerda (J. Mach. Learn. Res., 2022)

Asymptotic Convergence Rate of Dropout on Shallow Linear Neural Networks. - Albert Senen-Cerda; Jaron Sanders (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Score-Aware Policy-Gradient Methods and Performance Guarantees using Local Lyapunov Conditions: Applications to Product-Form Stochastic Networks and Queueing Systems. - Céline Comte; Matthieu Jonckheere; Jaron Sanders; Albert Senen-Cerda (CoRR, 2023)

Detection and evaluation of clusters within sequential data. - Alexander Van Werde; Albert Senen-Cerda; Gianluca Kosmella; Jaron Sanders (Data Min. Knowl. Discov., 2025)