Marco D'Alessandro

According to our database, Marco D'Alessandro authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Modular End-to-End Multimodal Learning Method for Structured and Unstructured Data.

Marco D'Alessandro, Enrique Calabrés, Mikel Elkano

CoRR, 2024

2023

Amortized Bayesian Model Comparison With Evidential Deep Learning.

Stefan T. Radev, Marco D'Alessandro, Ulf K. Mertens, Andreas Voss, Ullrich Köthe, Paul-Christian Bürkner

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigation.

Gian Luca Lancia, Mattia Eluchans, Marco D'Alessandro, Hugo J. Spiers, Giovanni Pezzulo

PLoS Comput. Biol., January, 2023

Multimodal Parameter-Efficient Few-Shot Class Incremental Learning.

Marco D'Alessandro, Alberto Alonso, Enrique Calabrés, Mikel Galar

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Increased Entropic Brain Dynamics during DeepDream-Induced Altered Perceptual Phenomenology.

Antonino Greco, Giuseppe Gallitto, Marco D'Alessandro, Clara Rastelli

Entropy, 2021