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Aldo Glielmo
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2020 – today
- 2024
- [i11]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 abs/2405.02161 (2024) - [i10]Antonio Di Noia, Iuri Macocco, Aldo Glielmo, Alessandro Laio, Antonietta Mira:
Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification. CoRR abs/2405.15132 (2024) - [i9]Matteo Carli, Alex Rodriguez, Alessandro Laio, Aldo Glielmo:
Density Estimation via Binless Multidimensional Integration. CoRR abs/2407.08094 (2024) - 2023
- [c4]Aldo Glielmo, Marco Favorito, Debmallya Chanda, Domenico Delli Gatti:
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs. ICAIF 2023: 305-313 - [i8]Aldo Glielmo, Marco Favorito, Debmallya Chanda, Domenico Delli Gatti:
Combining search strategies to improve performance in the calibration of economic ABMs. CoRR abs/2302.11835 (2023) - 2022
- [j2]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): 4622 (2022) - [j1]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): 100589 (2022) - [c3]Diego Doimo, Aldo Glielmo, Sebastian Goldt, Alessandro Laio:
Redundant representations help generalization in wide neural networks. NeurIPS 2022 - [i7]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 abs/2205.03373 (2022) - [i6]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 abs/2206.09595 (2022) - [i5]Iuri Macocco, Aldo Glielmo, Jacopo Grilli, Alessandro Laio:
Intrinsic dimension estimation for discrete metrics. CoRR abs/2207.09688 (2022) - 2021
- [i4]Aldo Glielmo, Claudio Zeni, Bingqing Cheng, Gábor Csányi, Alessandro Laio:
Ranking the information content of distance measures. CoRR abs/2104.15079 (2021) - [i3]Diego Doimo, Aldo Glielmo, Sebastian Goldt, Alessandro Laio:
Representation mitosis in wide neural networks. CoRR abs/2106.03485 (2021) - 2020
- [c2]Diego Doimo, Aldo Glielmo, Alessio Ansuini, Alessandro Laio:
Hierarchical nucleation in deep neural networks. NeurIPS 2020 - [i2]Diego Doimo, Aldo Glielmo, Alessio Ansuini, Alessandro Laio:
Hierarchical nucleation in deep neural networks. CoRR abs/2007.03506 (2020)
2010 – 2019
- 2019
- [c1]Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi:
SPONGE: A generalized eigenproblem for clustering signed networks. AISTATS 2019: 1088-1098 - [i1]Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi:
SPONGE: A generalized eigenproblem for clustering signed networks. CoRR abs/1904.08575 (2019)
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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