Lucia Mirabella

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients	2021	Yuyu Zhang Heng Chi Binghong Chen Tsz Ling Elaine Tang Lucia Mirabella Le Song Gláucio H. Paulino
+	Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients	2021	Yuyu Zhang Heng Chi Binghong Chen Tsz Ling Elaine Tang Lucia Mirabella Le Song Gláucio H. Paulino
+	Learning Neural PDE Solvers with Convergence Guarantees	2019	Jun-Ting Hsieh Shengjia Zhao Stephan Eismann Lucia Mirabella Stefano Ermon
+	Learning Neural PDE Solvers with Convergence Guarantees	2019	Jun-Ting Hsieh Shengjia Zhao Stephan Eismann Lucia Mirabella Stefano Ermon
+ PDF Chat	Applications of variational data assimilation in computational hemodynamics	2012	Marta D’Elia Lucia Mirabella Tiziano Passerini Mauro Perego Marina Piccinelli Christian Vergara Alessandro Veneziani
+	EFFECTIVE NUMERICAL TECHNIQUES FOR THE SOLUTIONS OF ELECTROCARDIOLOGY EQUATIONS	2009	Luca Gerardo‐Giorda Lucia Mirabella Fabio Nobile Mauro Perego Alessandro Veneziani

Common Coauthors

Coauthor	Papers Together
Stefano Ermon	2
Tsz Ling Elaine Tang	2
Binghong Chen	2
Mauro Perego	2
Alessandro Veneziani	2
Yuyu Zhang	2
Heng Chi	2
Le Song	2
Stephan Eismann	2
Gláucio H. Paulino	2
Jun-Ting Hsieh	2
Shengjia Zhao	2
Tiziano Passerini	1
Marta D’Elia	1
Fabio Nobile	1
Christian Vergara	1
Marina Piccinelli	1
Luca Gerardo‐Giorda	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Approximation and Control of the Boussinesq Equations with Application to Control of Energy Efficient Building Systems	2012	Weiwei Hu	2
+ PDF Chat	Progressive construction of a parametric reduced‐order model for PDE‐constrained optimization	2014	Matthew J. Zahr Charbel Farhat	2
+ PDF Chat	Neural networks for topology optimization	2019	Ivan Sosnovik Ivan Oseledets	2
+	AN EFFICIENT GENERALIZATION OF THE RUSH-LARSEN METHOD FOR SOLVING ELECTRO-PHYSIOLOGY MEMBRANE EQUATIONS ∗	2009	Mauro Perego Alessandro Veneziani	1
+	Regularization of Inverse Problems	1996	Heinz W. Engl Martin Hanke Andreas B. Neubauer	1
+	Rank-Deficient and Discrete Ill-Posed Problems	1998	Per Christian Hansen	1
+ PDF Chat	Convergence rates of iterative treatments of partial differential equations	1950	Stanley P. Frankel	1
+	Inverse problems in biomedical imaging: modeling and methods of solution	2007	M. Bertero Michele Piana	1
+	Morozov's discrepancy principle and Tikhonov-type functionals	2008	Thomas Bonesky	1
+ PDF Chat	Numerical Approximation of a Quasi-Newtonian Stokes Flow Problem with Defective Boundary Conditions	2007	Vincent J. Ervin Hyesuk Lee	1
+ PDF Chat	Analysis and Optimization of Robin–Robin Partitioned Procedures in Fluid-Structure Interaction Problems	2010	Luca Gerardo‐Giorda Fabio Nobile Christian Vergara	1
+	Exact and approximate controllability for distributed parameter systems	1994	Roland Glowinski J. L. Lions	1
+	Added-mass effect in the design of partitioned algorithms for fluid–structure problems	2005	Paola Causin J.-F. Gerbeau Fabio Nobile	1
+ PDF Chat	Predictive medicine: Computational techniques in therapeutic decision-making	1999	Charles Taylor Mary T. Draney Joy P. Ku David Parker Brooke N. Steele Ken Wang Christopher K. Zarins	1
+	Optical tomography as a PDE-constrained optimization problem	2005	Gassan S. Abdoulaev Kui Ren Andreas H. Hielscher	1
+	Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion	1987	Per Christian Hansen	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	The FEniCS Project Version 1.5	2015	Martin Sandve Alnæs Jan Blechta Johan Hake August Johansson Benjamin Kehlet Anders Logg Chris Richardson Johannes Ring Marie E. Rognes Garth N. Wells	1
+	Accelerating Eulerian Fluid Simulation With Convolutional Networks	2016	Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin	1
+ PDF Chat	Deep learning and the Schrödinger equation	2017	Kyle Mills Michael Spanner Isaac Tamblyn	1
+	DGM: A deep learning algorithm for solving partial differential equations	2018	Justin Sirignano Konstantinos Spiliopoulos	1
+	Deep Learning the Physics of Transport Phenomena	2017	Amir Barati Farimani Joseph Gomes Vijay S. Pande	1
+	Generalizing Hamiltonian Monte Carlo with Neural Networks	2017	Daniel Lévy Matthew D. Hoffman Jascha Sohl‐Dickstein	1
+	On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization	2018	Sanjeev Arora Nadav Cohen Elad Hazan	1
+	Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss	2018	Rishi Sharma Amir Barati Farimani Joe Gomes Peter Eastman Vijay S. Pande	1
+	A deep Convolutional Neural Network for topology optimization with strong generalization ability	2019	Yi‐Quan Zhang Bo Peng Xiaoyi Zhou Xiang Cheng Dalei Wang	1
+ PDF Chat	Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils	2017	Anand Pratap Singh Shivaji Medida Karthik Duraisamy	1
+ PDF Chat	The Case for Learned Index Structures	2018	Tim Kraska Alex Beutel Ed H. Jay B. Dean Neoklis Polyzotis	1
+ PDF Chat	Study on a Poisson's equation solver based on deep learning technique	2017	W. Tang Tao Shan Xunwang Dang Maokun Li Fan Yang Shenheng Xu Ji Wu	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+	A-NICE-MC: Adversarial Training for MCMC	2017	Jiaming Song Shengjia Zhao Stefano Ermon	1
+	Learning to learn by gradient descent by gradient descent	2016	Marcin Andrychowicz Misha Denil Sergio Luis Suárez Gómez Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas	1
+ PDF Chat	Optimizing the Kelvin force in a moving target subdomain	2017	Harbir Antil Ricardo H. Nochetto Pablo Venegas	1
+ PDF Chat	Solving Poisson's Equation using Deep Learning in Particle Simulation of PN Junction	2019	Zhongyang Zhang Ling Zhang Ze Sun Nicholas Erickson Ryan From Jun Fan	1
+	Numerical Solution of Ordinary Differential Equations	2011		1
+ PDF Chat	Data-driven synthesis of smoke flows with CNN-based feature descriptors	2017	Mengyu Chu Nils Thuerey	1
+	3D Topology Optimization using Convolutional Neural Networks	2018	Saurabh Banga Harsh Gehani Sanket Bhilare Sagar Patel Levent Burak Kara	1
+	Numerical Approximation of Partial Differential Equations	1994	Alfio Quarteroni Alberto Valli	1
+	Optimal Control of Systems Governed by Partial Differential Equations	1971	J. L. Lions	1
+	Neural networks for topology optimization	2017	Ivan Sosnovik Ivan Oseledets	1
+	Applied and Industrial Mathematics. Venice-1, 1989	1991	Renato Spigler Venice Industrial Mathematics	1
+	Complex Systems in Biomedicine	2006	Alfio Quarteroni Luca Formaggia Alessandro Veneziani	1
+	Exact Controllability for Distributed Systems. Some Trends and Some Problems	1991	J. L. Lions	1
+	Finite difference methods for ordinary and partial differential equations: steady-state and time-dependent problems	2008	Randall J. LeVeque	1
+	Statistical and Computational Inverse Problems	2005	Jari P. Kaipio Erkki Somersalo	1