Àlex Martínez Miguel

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All published works

Action	Title	Year	Authors
+ PDF Chat	Supervised learning of few dirty bosons with variable particle number	2021	Pere Mujal Àlex Martínez Miguel A. Polls Bruno Juliá-Díaz Sebastiano Pilati

Common Coauthors

Coauthor	Papers Together
Bruno Juliá-Díaz	1
Pere Mujal	1
A. Polls	1
Sebastiano Pilati	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Anderson localization of a non-interacting Bose–Einstein condensate	2008	G. Roati Chiara D’Errico L. Fallani M. Fattori C. Fort Matteo Zaccanti Giovanni Carlo Modugno M. Modugno M. Inguscio	1
+ PDF Chat	Deterministic Preparation of a Tunable Few-Fermion System	2011	Friedhelm Serwane G. Zürn Thomas Lompe T. B. Ottenstein A. N. Wenz Selim Jochim	1
+ PDF Chat	From Few to Many: Observing the Formation of a Fermi Sea One Atom at a Time	2013	A. N. Wenz G. Zürn Simon Murmann Ioannis Brouzos Thomas Lompe Selim Jochim	1
+ PDF Chat	Weakly interacting Bose gas in a random environment	2009	G. M. Falco T. Nattermann V. L. Pokrovsky	1
+ PDF Chat	Collective dynamics and expansion of a Bose-Einstein condensate in a random potential	2006	M. Modugno	1
+ PDF Chat	Ultracold Bose Gases in 1D Disorder: From Lifshits Glass to Bose-Einstein Condensate	2007	Pierre Lugan David Clément Philippe Bouyer Alain Aspect Maciej Lewenstein Laurent Sanchez-Palencia	1
+ PDF Chat	Finding Density Functionals with Machine Learning	2012	John Snyder Matthias Rupp Katja Hansen Klaus‐Robert Müller Kieron Burke	1
+ PDF Chat	How to represent crystal structures for machine learning: Towards fast prediction of electronic properties	2014	Kristof T. Schütt Henning Glawe Felix Brockherde Antonio Sanna K. Müller E. K. U. Gross	1
+ PDF Chat	Direct observation of Anderson localization of matter waves in a controlled disorder	2008	Juliette Billy Vincent Josse Zhanchun Zuo Alain Bernard Ben Hambrecht Pierre Lugan David Clément Laurent Sanchez-Palencia Philippe Bouyer Alain Aspect	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Quantum machine learning	2017	Jacob Biamonte Péter Wittek Nicola Pancotti Patrick Rebentrost Nathan Wiebe Seth Lloyd	1
+ PDF Chat	Machine learning unifies the modeling of materials and molecules	2017	Albert P. Bartók Sandip De Carl Poelking Noam Bernstein James R. Kermode Gábor Cśanyi Michele Ceriotti	1
+ PDF Chat	Quantum machine learning: a classical perspective	2018	Carlo Ciliberto Mark Herbster Alessandro Davide Ialongo Massimiliano Pontil Andrea Rocchetto Simone Severini Leonard Wossnig	1
+ PDF Chat	Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error	2017	Felix A. Faber Luke A. D. Hutchison Bing Huang Justin Gilmer Samuel S. Schoenholz George E. Dahl Oriol Vinyals Steven Kearnes Patrick Riley O. Anatole von Lilienfeld	1
+ PDF Chat	Machine learning & artificial intelligence in the quantum domain: a review of recent progress	2018	Vedran Dunjko Hans J. Briegel	1
+ PDF Chat	Quantum Machine Learning in Feature Hilbert Spaces	2019	Maria Schuld Nathan Killoran	1
+	Numerically exact approach to few-body problems far from a perturbative regime	2018	Marcin Płodzień Dariusz Wiater Andrzej Chrostowski Tomasz Sowiński	1
+ PDF Chat	Deep learning and density-functional theory	2019	Kevin Ryczko David A. Strubbe Isaac Tamblyn	1
+ PDF Chat	Machine learning and the physical sciences	2019	Giuseppe Carleo J. I. Cirac K. Cranmer Laurent Daudet Maria Schuld Naftali Tishby Leslie Vogt-Maranto Lenka Zdeborová	1
+ PDF Chat	Extensive deep neural networks for transferring small scale learning to large scale systems	2019	Kyle Mills Kevin Ryczko Iryna Luchak Adam Domurad Chris Beeler Isaac Tamblyn	1
+ PDF Chat	Few-boson localization in a continuum with speckle disorder	2019	Pere Mujal A. Polls Sebastiano Pilati Bruno Juliá-Díaz	1
+ PDF Chat	Understanding machine‐learned density functionals	2015	Li Li John Snyder Isabelle M. Pelaschier Jessica Huang Uma‐Naresh Niranjan Paul Duncan Matthias Rupp Klaus‐Robert Müller Kieron Burke	1
+ PDF Chat	Deep Learning the Hohenberg-Kohn Maps of Density Functional Theory	2020	Javier Robledo Moreno Giuseppe Carleo Antoine Georges	1
+	Interacting ultracold few-boson systems	2019	Pere Mujal Torreblanca	1
+ PDF Chat	Scalable neural networks for the efficient learning of disordered quantum systems	2020	N. Saraceni Simone Cantori Sebastiano Pilati	1
+ PDF Chat	Machine learning for quantum matter	2020	Juan Carrasquilla	1
+ PDF Chat	Bypassing the Kohn-Sham equations with machine learning	2017	Felix Brockherde Leslie Vogt-Maranto Li Li Mark E. Tuckerman Kieron Burke Klaus‐Robert Müller	1
+ PDF Chat	Communication: Understanding molecular representations in machine learning: The role of uniqueness and target similarity	2016	Bing Huang O. Anatole von Lilienfeld	1
+	Quantum machine learning and quantum biomimetics: A perspective	2020	Lucas Lamata	1
+ PDF Chat	Artificial neural networks for density-functional optimizations in fermionic systems	2019	Caio A. Custódio Érica Regina Filletti V. V. França	1