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Aldo Glielmo
Observed names:
A. Glielmo,
Glielmo, Aldo
Institution:
Bank of Italy
Observed institutions:
Bank of Italy,
F. Hoffmann-La Roche AG,
Scuola Internazionale Superiore di Studi Avanzati,
Friedrich-Alexander-Universität Erlangen-Nürnberg,
King's College London,
AREA Science Park
show all 6
ORCID:
0000-0002-4737-2878
Observed ORCID:
0000-0002-4737-2878
OpenAlex ID:
A5002088349
Unsupervised Learning Methods for Molecular Simulation Data
2021
·
Aldo Glielmo
, Brooke E. Husic
, et al.
·
Chemical Reviews
·
438
Accurate interatomic force fields via machine learning with covariant kernels
2017
·
Aldo Glielmo
, Peter Sollich
, et al.
·
Physical review. B./Physical review. B
·
214
PDF
Efficient nonparametric n -body force fields from machine learning
2018
·
Aldo Glielmo
, Claudio Zeni
, et al.
·
Physical review. B./Physical review. B
·
151
PDF
Ranking the information content of distance measures
2022
·
Aldo Glielmo
, Claudio Zeni
, et al.
·
PNAS Nexus
·
74
Building machine learning force fields for nanoclusters
2018
·
Claudio Zeni
, Kevin Rossi
, et al.
·
The Journal of Chemical Physics
·
56
PDF
DADApy: Distance-based analysis of data-manifolds in Python
2022
·
Aldo Glielmo
, Iuri Macocco
, et al.
·
Patterns
·
54
PDF
On machine learning force fields for metallic nanoparticles
2019
·
Claudio Zeni
, Kevin Rossi
, et al.
·
Advances in Physics X
·
42
PDF
SPONGE: A generalized eigenproblem for clustering signed networks
2019
·
Cucuringu, Mihai
, Davies, Peter
, et al.
·
arXiv (Cornell University)
·
40
PDF
Exploring the robust extrapolation of high-dimensional machine learning potentials
2022
·
Claudio Zeni
, Andrea Anelli
, et al.
·
Physical review. B./Physical review. B
·
35
PDF
Investigating the price determinants of the European Emission Trading System: a non-parametric approach
2024
·
Cristiano Salvagnin
, Aldo Glielmo
, et al.
·
Quantitative Finance
·
27
PDF
Compact atomic descriptors enable accurate predictions via linear models
2021
·
Claudio Zeni
, Kevin Rossi
, et al.
·
The Journal of Chemical Physics
·
27
PDF
Coefficient of restitution of aspherical particles
2014
·
Aldo Glielmo
, Nina Gunkelmann
, et al.
·
Physical Review E
·
24
Can we obtain the coefficient of restitution from the sound of a bouncing ball?
2016
·
Michael Heckel
, Aldo Glielmo
, et al.
·
Physical review. E
·
23
Gaussian Process States: A Data-Driven Representation of Quantum Many-Body Physics
2020
·
Aldo Glielmo
, Yannic Rath
, et al.
·
Physical Review X
·
22
PDF
Intrinsic Dimension Estimation for Discrete Metrics
2023
·
Iuri Macocco
, Aldo Glielmo
, et al.
·
Physical Review Letters
·
19
PDF
Building Nonparametric n-Body Force Fields Using Gaussian Process Regression
2020
·
Aldo Glielmo
, Claudio Zeni
, et al.
·
Lecture notes in physics
·
17
PDF
Simulating the Economic Impact of Rationality through Reinforcement Learning and Agent-Based Modelling
2024
·
Simone Brusatin
, Tommaso Padoan
, et al.
·
ACM International Conference on AI in Finance (ICAIF)
·
15
PDF
Black-it: A Ready-to-Use and Easy-to-Extend Calibration Kit for Agent-based Models
2022
·
Marco Benedetti
, Gennaro Catapano
, et al.
·
The Journal of Open Source Software
·
14
PDF
A Bayesian inference framework for compression and prediction of quantum states
2020
·
Yannic Rath
, Aldo Glielmo
, et al.
·
The Journal of Chemical Physics
·
13
PDF
Enabling QM-accurate simulation of dislocation motion in γ−Ni and α−Fe using a hybrid multiscale approach
2019
·
F. Bianchini
, A. Glielmo
, et al.
·
Physical Review Materials
·
13
PDF
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs
2023
·
Aldo Glielmo
, Marco Favorito
, et al.
·
ACM International Conference on AI in Finance (ICAIF)
·
12
PDF
Hierarchical nucleation in deep neural networks
2020
·
Doimo, Diego
, Glielmo, Aldo
, et al.
·
arXiv (Cornell University)
·
12
PDF
Scale adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification
2026
·
Antonio Di Noia
, Iuri Macocco
, et al.
·
Scientific Reports
·
11
Chat Bankman-Fried: an Exploration of LLM Alignment in Finance
2024
·
Claudia Biancotti
, Carolina Camassa
, et al.
·
SSRN Electronic Journal
·
8
PDF
Divide-and-conquer potentials enable scalable and accurate predictions of forces and energies in atomistic systems
2023
·
Claudio Zeni
, Andrea Anelli
, et al.
·
Digital Discovery
·
7
PDF
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Works count:
59
Citation count:
1,407
H-index:
16
I10-index:
23
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