Lorenzo Bardone

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All published works

Action	Title	Year	Authors
+ PDF Chat	Sliding down the stairs: how correlated latent variables accelerate learning with neural networks	2024	Lorenzo Bardone Sebastian Goldt
+	A simple linear algebra identity to optimize Large-Scale Neural Network Quantum States	2023	Riccardo Rende Luciano Loris Viteritti Lorenzo Bardone Federico Becca Sebastian Goldt
+	Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks	2023	Eszter Székely Lorenzo Bardone Federica Gerace Sebastian Goldt
+	Ising model on deterministic and random graphs: some examples	2019	Lorenzo Bardone

Common Coauthors

Coauthor	Papers Together
Sebastian Goldt	3
Luciano Loris Viteritti	1
Federico Becca	1
Riccardo Rende	1
Eszter Székely	1
Federica Gerace	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Plaquette Ordered Phase and Quantum Phase Diagram in the Spin-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mfrac><mml:mn>1</mml:mn><mml:mn>2</mml:mn></mml:mfrac></mml:math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>J</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mtext>−</mml:mtext><mml:msub><mml:mrow><mml:mi>J</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:…	2014	Shou-Shu Gong Wei Zhu D. N. Sheng Olexei I. Motrunich Matthew P. A. Fisher	1
+ PDF Chat	Wave function optimization in the variational Monte Carlo method	2005	Sandro Sorella	1
+ PDF Chat	Green Function Monte Carlo with Stochastic Reconfiguration	1998	Sandro Sorella	1
+ PDF Chat	Direct evidence for a gapless<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>Z</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>spin liquid by frustrating Néel antiferromagnetism	2013	Wen-Jun Hu Federico Becca Alberto Parola Sandro Sorella	1
+ PDF Chat	Variational Description of Mott Insulators	2005	Manuela Capello Federico Becca Michele Fabrizio Sandro Sorella Erio Tosatti	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Solving the quantum many-body problem with artificial neural networks	2017	Giuseppe Carleo Matthias Troyer	1
+ PDF Chat	Restricted Boltzmann machine learning for solving strongly correlated quantum systems	2017	Yusuke Nomura Andrew S. Darmawan Youhei Yamaji Masatoshi Imada	1
+ PDF Chat	Solving frustrated quantum many-particle models with convolutional neural networks	2018	Xiao Liang Wen-Yuan Liu Peize Lin Guang‐Can Guo Yong-Sheng Zhang Lixin He	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+ PDF Chat	Two-dimensional frustrated <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>J</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mtext>−</mml:mtext><mml:msub><mml:mi>J</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:mrow></mml:math> model studied with neural network quantum states	2019	Kenny Choo Titus Neupert Giuseppe Carleo	1
+ PDF Chat	Neural Gutzwiller-projected variational wave functions	2019	Francesco Ferrari Federico Becca Juan Carrasquilla	1
+ PDF Chat	Quantum Many-Body Dynamics in Two Dimensions with Artificial Neural Networks	2020	Markus Schmitt Markus Heyl	1
+	Iterative Retraining of Quantum Spin Models Using Recurrent Neural Networks	2020	Christopher C. Roth	1
+ PDF Chat	Hybrid convolutional neural network and projected entangled pair states wave functions for quantum many-particle states	2021	Xiao Liang Shaojun Dong Lixin He	1
+ PDF Chat	Neural network wave functions and the sign problem	2020	Attila Szabó Claudio Castelnovo	1
+ PDF Chat	Geometry of learning neural quantum states	2020	Chae-Yeun Park Michael J. Kastoryano	1
+ PDF Chat	Helping restricted Boltzmann machines with quantum-state representation by restoring symmetry	2021	Yusuke Nomura	1
+ PDF Chat	Dirac-Type Nodal Spin Liquid Revealed by Refined Quantum Many-Body Solver Using Neural-Network Wave Function, Correlation Ratio, and Level Spectroscopy	2021	Yusuke Nomura Masatoshi Imada	1
+ PDF Chat	Expressive power of complex-valued restricted Boltzmann machines for solving nonstoquastic Hamiltonians	2022	Chae-Yeun Park Michael J. Kastoryano	1
+	$2^{1296}$ Exponentially Complex Quantum Many-Body Simulation via Scalable Deep Learning Method	2022	Xiao Liang Mingfan Li Qian Xiao An Hong Lixin He Xuncheng Zhao Junshi Chen Chao Yang Fei Wang Hong Qian	1
+ PDF Chat	Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer	2022	Mingfan Li Junshi Chen Qian Xiao Fei Wang Qingcai Jiang Xuncheng Zhao Rongfen Lin Hong An Xiao Liang Lixin He	1
+ PDF Chat	Accuracy of restricted Boltzmann machines for the one-dimensional $J_1-J_2$ Heisenberg model	2022	Luciano Loris Viteritti Francesco Ferrari Federico Becca	1
+	Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy	2022	Mohamed Hibat-Allah Roger G. Melko Juan Carrasquilla	1
+ PDF Chat	NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems	2022	Filippo Vicentini Damian Hofmann Attila Szabó Dian Wu Christopher G. Roth Clemens Giuliani Gabriel Pescia Jannes Nys Vladimir Vargas-Calderón Nikita Astrakhantsev	1
+	Efficient optimization of deep neural quantum states toward machine precision	2023	Ao Chen Markus Heyl	1
+	What does self-attention learn from Masked Language Modelling?	2023	Riccardo Rende Federica Gerace Alessandro Laio Sebastian Goldt	1
+ PDF Chat	Optimizing design choices for neural quantum states	2023	Moritz Reh Markus Schmitt Martin Gärttner	1
+ PDF Chat	Transformer Variational Wave Functions for Frustrated Quantum Spin Systems	2023	Luciano Loris Viteritti Riccardo Rende Federico Becca	1
+ PDF Chat	Highly Resolved Spectral Functions of Two-Dimensional Systems with Neural Quantum States	2023	Tiago Mendes-Santos Markus Schmitt Markus Heyl	1
+	Variational optimization of the amplitude of neural-network quantum many-body ground states	2023	Jia-Qi Wang Rong-Qiang He Zhong-Yi Lu	1
+ PDF Chat	Boltzmann machines and quantum many-body problems	2023	Yusuke Nomura	1
+ PDF Chat	Variational Monte Carlo with large patched transformers	2024	Kyle Sprague Stefanie Czischek	1