Benchmark for numerical solutions of flow in heterogeneous groundwater formations. - Cristian Daniel Alecsa; Imre Boros; Florian Frank 001; Peter Knabner; Mihai Nechita; Alexander Prechtel; Andreas Rupp; Nicolae Suciu (CoRR, 2019)

A gradient-type algorithm with backward inertial steps associated to a nonconvex minimization problem. - Cristian Daniel Alecsa; Szilárd Csaba László; Adrian Viorel (Numer. Algorithms, 2020)

New optimization algorithms for neural network training using operator splitting techniques. - Cristian Daniel Alecsa; Titus Pinta; Imre Boros (Neural Networks, 2020)

A theoretical and empirical study of new adaptive algorithms with additional momentum steps and shifted updates for stochastic non-convex optimization. - Cristian Daniel Alecsa (CoRR, 2021)

Tikhonov Regularization of a Perturbed Heavy Ball System with Vanishing Damping. - Cristian Daniel Alecsa; Szilárd Csaba László (SIAM J. Optim., 2021)

On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. - Catalin Stoean; Nebojsa Bacanin; Ruxandra Stoean; Leonard Ionescu; Cristian Daniel Alecsa; Mircea Hotoleanu; Miguel A. Atencia Ruiz; Gonzalo Joya (SYNASC, 2022)

OF-AE: Oblique Forest AutoEncoders. - Cristian Daniel Alecsa (AIAI (2), 2023)

Some notes concerning a generalized KMM-type optimization method for density ratio estimation. - Cristian Daniel Alecsa (CoRR, 2023)