Marco D'Alessandro

According to our database, Marco D'Alessandro authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

GENESIS: A Generative Model of Episodic-Semantic Interaction.

Marco D'Alessandro, Leo D'Amato, Mikel Elkano, Mikel Uriz, Giovanni Pezzulo

CoRR, October, 2025

Sensory robustness through top-down feedback and neural stochasticity in recurrent vision models.

Antonino Greco, Marco D'Alessandro, Karl J. Friston, Giovanni Pezzulo, Markus Siegel

CoRR, August, 2025

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