دنبال کردن
Aldo Glielmo
Aldo Glielmo
Bank of Italy
ایمیل تأیید شده در bancaditalia.it - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Unsupervised learning methods for molecular simulation data‏
A Glielmo, BE Husic, A Rodriguez, C Clementi, F Noé, A Laio‏
Chemical Reviews 121 (16), 9722-9758, 2021‏
2902021
Accurate interatomic force fields via machine learning with covariant kernels‏
A Glielmo, P Sollich, A De Vita‏
Physical Review B 95 (21), 214302, 2017‏
2362017
Efficient nonparametric n-body force fields from machine learning‏
A Glielmo, C Zeni, A De Vita‏
Physical Review B 97 (18), 184307, 2018‏
1582018
SPONGE: A generalized eigenproblem for clustering signed networks‏
M Cucuringu, P Davies, A Glielmo, H Tyagi‏
Proceedings of Machine Learning Research 89, 1088-1098, 2019‏
702019
Building machine learning force fields for nanoclusters‏
C Zeni, K Rossi, A Glielmo, Á Fekete, N Gaston, F Baletto, A De Vita‏
The Journal of chemical physics 148 (24), 2018‏
562018
On machine learning force fields for metallic nanoparticles‏
C Zeni, K Rossi, A Glielmo, F Baletto‏
Advances in Physics: X 4 (1), 1654919, 2019‏
402019
DADApy: Distance-based analysis of data-manifolds in Python‏
A Glielmo, I Macocco, D Doimo, M Carli, C Zeni, R Wild, M d’Errico, ...‏
Patterns 3 (10), 2022‏
34*2022
Ranking the information content of distance measures‏
A Glielmo, C Zeni, B Cheng, G Csányi, A Laio‏
PNAS Nexus 1 (2), pgac039, 2022‏
332022
Hierarchical nucleation in deep neural networks‏
D Doimo, A Glielmo, A Laio, A Ansuini‏
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020‏
312020
Gaussian Process States: A data-driven representation of quantum many-body physics‏
A Glielmo, Y Rath, G Csanyi, A De Vita, GH Booth‏
Physical Review X 10 (4), 041026, 2020‏
282020
Exploring the robust extrapolation of high-dimensional machine learning potentials‏
C Zeni, A Anelli, A Glielmo, K Rossi‏
Physical Review B 105 (16), 165141, 2022‏
262022
Can we obtain the coefficient of restitution from the sound of a bouncing ball?‏
M Heckel, A Glielmo, N Gunkelmann, T Pöschel‏
Physical Review E 93 (3), 032901, 2016‏
242016
Coefficient of restitution of aspherical particles‏
A Glielmo, N Gunkelmann, T Pöschel‏
Physical Review E 90 (5), 052204, 2014‏
212014
Compact atomic descriptors enable accurate predictions via linear models‏
C Zeni, K Rossi, A Glielmo, S De Gironcoli‏
The Journal of Chemical Physics 154 (22), 2021‏
202021
A Bayesian inference framework for compression and prediction of quantum states‏
Y Rath, A Glielmo, GH Booth‏
The Journal of chemical physics 153 (12), 2020‏
162020
Enabling QM-accurate simulation of dislocation motion in and using a hybrid multiscale approach‏
F Bianchini, A Glielmo, JR Kermode, A De Vita‏
Physical Review Materials 3 (4), 043605, 2019‏
152019
Machine Learning Meets Quantum Physics‏
A Glielmo, C Zeni, Á Fekete, A De Vita‏
Schütt, KT, Chmiela, S., von Lilienfeld, OA, Tkatchenko, A., Tsuda, K …, 2020‏
142020
Building Nonparametric n-Body Force Fields Using Gaussian Process Regression‏
A Glielmo, C Zeni, A Fekete, A De Vita‏
Machine Learning Meets Quantum Physics, 67-98, 2020‏
132020
Intrinsic dimension estimation for discrete metrics‏
I Macocco, A Glielmo, J Grilli, A Laio‏
Physical Review Letters 130 (6), 067401, 2023‏
122023
Redundant representations help generalization in wide neural networks‏
D Doimo, A Glielmo, S Goldt, A Laio‏
Advances in Neural Information Processing Systems 35, 19659-19672, 2022‏
9*2022
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20