Poster session

Thursday 5 September 2024

P1

A data-dependent regularization method based on the graph Laplacian

Stefano Aleotti, Università dell'Insubria

P2

Majorization-minimization for multiclass SVMs in a big data scenario

Filippo Camellini, Università di Modena e Reggio Emilia

P3

Unsupervised noisy image segmentation using Deep Image Prior

Ambra Catozzi, Università di Modena e Reggio Emilia

P4

A line-search based SGD algorithm with Adaptive Importance Sampling

Anna De Magistris, Università della Campania

P5

IMPARA: Industrial Multi-task Photo-realistic Annotated dataset for Robotics Applications

Elena Govi, Università di Modena e Reggio Emilia

P6

Predictor-corrector optimization strategy for signal decomposition

Martin Huska, Università di Bologna

P7

Modeling motivation using active inference

Riccardo Maramotti, Università di Modena e Reggio Emilia

P8

Linesearch-enhanced forward-backward methods for inexact nonconvex scenarios

Danilo Pezzi, Università di Modena e Reggio Emilia

P9

Accelerated plug-and-play methods for medical imaging

Andrea Sebastiani, Università di Modena e Reggio Emilia

P10

Spectral stochastic gradient method with additional sampling for finite and infinite sums

Ilaria Trombini, Università di Ferrara

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