Aldo Glielmo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Search Strategies

Kullback Leibler

Intrinsic Dimension

Top Venues

Publications

Antonio Di Noia, Iuri Macocco, Aldo Glielmo, Alessandro Laio, Antonietta Mira
Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification. CoRR (2024)
Simone Brusatin, Tommaso Padoan, Andrea Coletta, Domenico Delli Gatti, Aldo Glielmo
Simulating the economic impact of rationality through reinforcement learning and agent-based modelling. CoRR (2024)
Matteo Carli, Alex Rodriguez, Alessandro Laio, Aldo Glielmo
Density Estimation via Binless Multidimensional Integration. CoRR (2024)
Aldo Glielmo, Marco Favorito, Debmallya Chanda, Domenico Delli Gatti
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs. ICAIF (2023)
Aldo Glielmo, Marco Favorito, Debmallya Chanda, Domenico Delli Gatti
Combining search strategies to improve performance in the calibration of economic ABMs. CoRR (2023)
Diego Doimo, Aldo Glielmo, Sebastian Goldt, Alessandro Laio
Redundant representations help generalization in wide neural networks. NeurIPS (2022)
Iuri Macocco, Aldo Glielmo, Jacopo Grilli, Alessandro Laio
Intrinsic dimension estimation for discrete metrics. CoRR (2022)
Aldo Glielmo, Iuri Macocco, Diego Doimo, Matteo Carli, Claudio Zeni, Romina Wild, Maria d'Errico, Alex Rodriguez, Alessandro Laio
DADApy: Distance-based Analysis of DAta-manifolds in Python. CoRR (2022)
Sebastian Springer, Aldo Glielmo, Angelina Senchukova, Tomi Kauppi, Jarkko Suuronen, Lassi Roininen, Heikki Haario, Andreas Hauptmann
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs. CoRR (2022)
Marco Benedetti, Gennaro Catapano, Francesco De Sclavis, Marco Favorito, Aldo Glielmo, Davide Magnanimi, Antonio Muci
Black-it: A Ready-to-Use and Easy-to-Extend Calibration Kit for Agent-based Models. J. Open Source Softw. 7 (79) (2022)
Aldo Glielmo, Iuri Macocco, Diego Doimo, Matteo Carli, Claudio Zeni, Romina Wild, Maria d'Errico, Alex Rodriguez, Alessandro Laio
DADApy: Distance-based analysis of data-manifolds in Python. Patterns 3 (10) (2022)
Aldo Glielmo, Claudio Zeni, Bingqing Cheng, Gábor Csányi, Alessandro Laio
Ranking the information content of distance measures. CoRR (2021)
Diego Doimo, Aldo Glielmo, Sebastian Goldt, Alessandro Laio
Representation mitosis in wide neural networks. CoRR (2021)
Diego Doimo, Aldo Glielmo, Alessio Ansuini, Alessandro Laio
Hierarchical nucleation in deep neural networks. NeurIPS (2020)
Diego Doimo, Aldo Glielmo, Alessio Ansuini, Alessandro Laio
Hierarchical nucleation in deep neural networks. CoRR (2020)
Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi
SPONGE: A generalized eigenproblem for clustering signed networks. AISTATS (2019)
Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi
SPONGE: A generalized eigenproblem for clustering signed networks. CoRR (2019)