Marco D'Alessandro

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Incremental Learning

Posterior Distribution

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

ICCV (Workshops)

PLoS Comput. Biol.

Publications

Marco D'Alessandro, Enrique Calabrés, Mikel Elkano
A Modular End-to-End Multimodal Learning Method for Structured and Unstructured Data. CoRR (2024)
Marco D'Alessandro, Alberto Alonso, Enrique Calabrés, Mikel Galar
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning. ICCV (Workshops) (2023)
Gian Luca Lancia, Mattia Eluchans, Marco D'Alessandro, Hugo J. Spiers, Giovanni Pezzulo
Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigation. PLoS Comput. Biol. 19 (1) (2023)
Stefan T. Radev, Marco D'Alessandro, Ulf K. Mertens, Andreas Voss, Ullrich Köthe, Paul-Christian Bürkner
Amortized Bayesian Model Comparison With Evidential Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Marco D'Alessandro, Alberto Alonso, Enrique Calabrés, Mikel Galar
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning. CoRR (2023)
Antonino Greco, Giuseppe Gallitto, Marco D'Alessandro, Clara Rastelli
Increased Entropic Brain Dynamics during DeepDream-Induced Altered Perceptual Phenomenology. Entropy 23 (7) (2021)
Stefan T. Radev, Marco D'Alessandro, Paul-Christian Bürkner, Ulf K. Mertens, Andreas Voss, Ullrich Köthe
Amortized Bayesian model comparison with evidential deep learning. CoRR (2020)