Beatrice Paoli

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All published works

Action	Title	Year	Authors
+ PDF Chat	Neural Networks to Solve Partial Differential Equations: A Comparison With Finite Elements	2022	A. Sacchetti Benjamin Bachmann Kaspar Löffel Urs-Martin Künzi Beatrice Paoli
+ PDF Chat	Continuous-time quantum walks on directed bipartite graphs	2016	Beat Tödtli Monika Laner Jouri Semenov Beatrice Paoli Marcel Blattner Jérôme Kunegis

Common Coauthors

Coauthor	Papers Together
Urs-Martin Künzi	1
Jérôme Kunegis	1
Marcel Blattner	1
Monika Laner	1
Beat Tödtli	1
A. Sacchetti	1
Benjamin Bachmann	1
Jouri Semenov	1
Kaspar Löffel	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Automatic differentiation in machine learning: a survey	2015	Atılım Güneş Baydin Barak A. Pearlmutter Alexey Radul Jeffrey Mark Siskind	1
+ PDF Chat	Quantum computation and decision trees	1998	Edward Farhi Sam Gutmann	1
+ PDF Chat	Quantum Computers Can Search Arbitrarily Large Databases by a Single Query	1997	Lov K. Grover	1
+ PDF Chat	Universal Computation by Quantum Walk	2009	Andrew M. Childs	1
+ PDF Chat	Almost perfect state transfer in quantum spin chains	2012	Luc Vinet Alexei Zhedanov	1
+ PDF Chat	Continuous-time quantum walks on a cycle graph	2006	Dmitry Solenov Leonid Fedichkin	1
+ PDF Chat	Universal quantum computation using the discrete-time quantum walk	2010	Neil B. Lovett Sally Cooper Matthew Everitt Matt Trevers Viv Kendon	1
+ PDF Chat	Quantum teleportation between remote atomic-ensemble quantum memories	2012	Xiao‐Hui Bao Xiao-Fan Xu Che‐Ming Li Zhen-Sheng Yuan Chao‐Yang Lu Jian-Wei Pan	1
+ PDF Chat	State transfer in highly connected networks and a quantum Babinet principle	2008	Dimitris I. Tsomokos Martin B. Plenio Inés de Vega Susana F. Huelga	1
+ PDF Chat	Quantum entanglement in photosynthetic light-harvesting complexes	2010	Mohan Sarovar Akihito Ishizaki Graham R. Fleming K. Birgitta Whaley	1
+ PDF Chat	On the Relationship Between Continuous- and Discrete-Time Quantum Walk	2009	Andrew M. Childs	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+ PDF Chat	Long-distance quantum communication with atomic ensembles and linear optics	2001	L.-M. Duan Mikhail D. Lukin J. I. Cirac P. Zoller	1
+	DGM: A deep learning algorithm for solving partial differential equations	2018	Justin Sirignano Konstantinos Spiliopoulos	1
+ PDF Chat	A unified deep artificial neural network approach to partial differential equations in complex geometries	2018	Jens Berg Kaj Nyström	1
+	Solving high-dimensional partial differential equations using deep learning	2018	Jiequn Han Arnulf Jentzen E Weinan	1
+ PDF Chat	An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications	2020	Esteban Samaniego Cosmin Anitescu Somdatta Goswami Vien Minh Nguyen‐Thanh Hongwei Guo Khader M. Hamdia Xiaoying Zhuang Timon Rabczuk	1
+ PDF Chat	NeuroDiffEq: A Python package for solving differential equations with neural networks	2020	Feiyu Chen David Sondak Pavlos Protopapas Marios Mattheakis Shuheng Liu Devansh Agarwal Marco Di Giovanni	1
+ PDF Chat	DeepXDE: A Deep Learning Library for Solving Differential Equations	2021	Lu Lu Xuhui Meng Zhiping Mao George Em Karniadakis	1
+ PDF Chat	Continuous-time quantum walks: Models for coherent transport on complex networks	2011	Oliver Mülken A. Blumen	1
+ PDF Chat	On the Convergence of Physics Informed Neural Networks for Linear Second-Order Elliptic and Parabolic Type PDEs	2020	Yeonjong Shin Jérôme Darbon George Em Karniadakis George Em Karniadakis	1
+ PDF Chat	A deep learning solution approach for high-dimensional random differential equations	2019	Mohammad Amin Nabian Hadi Meidani	1
+ PDF Chat	Local extreme learning machines and domain decomposition for solving linear and nonlinear partial differential equations	2021	Suchuan Dong Zongwei Li	1
+	IDRLnet: A Physics-Informed Neural Network Library	2021	Wei Peng Jun Zhang Weien Zhou Xiaoyu Zhao Wen Yao Xiaoqian Chen	1
+ PDF Chat	Meshless physics‐informed deep learning method for three‐dimensional solid mechanics	2021	Diab W. Abueidda Qiyue Lu Seid Korić	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1