Dario Coscia

According to our database, Dario Coscia authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

Uncertainty-aware Machine Learning Interatomic Potentials via Learned Functional Perturbations.

Olga Zaghen, Maksim Zhdanov, Dario Coscia, David R. Wessels, Erik J. Bekkers

CoRR, May, 2026

Flowing with Confidence.

Friso de Kruiff, Dario Coscia, Max Welling, Erik J. Bekkers

CoRR, May, 2026

BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models.

Dario Coscia, Sindy Löwe, Max Welling

CoRR, May, 2026

2025

BLIPs: Bayesian Learned Interatomic Potentials.

Dario Coscia, Pim de Haan, Max Welling

CoRR, August, 2025

BARNN: A Bayesian Autoregressive and Recurrent Neural Network.

Dario Coscia, Max Welling, Nicola Demo, Gianluigi Rozza

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

PINA: Physics-Informed Neural networks for Advanced modeling.

Dario Coscia, Anna Ivagnes, Nicola Demo, Gianluigi Rozza

Dataset, July, 2023

Physics-Informed Neural networks for Advanced modeling.

Dario Coscia, Anna Ivagnes, Nicola Demo, Gianluigi Rozza

J. Open Source Softw., 2023

Generative Adversarial Reduced Order Modelling.

Dario Coscia, Nicola Demo, Gianluigi Rozza

CoRR, 2023

2022

A Continuous Convolutional Trainable Filter for Modelling Unstructured Data.

Dario Coscia, Laura Meneghetti, Nicola Demo, Giovanni Stabile, Gianluigi Rozza

CoRR, 2022