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Gianmarco Mengaldo
Person information
- affiliation: Department of Aeronautics, Imperial College London, UK
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2020 – today
- 2024
- [j16]Cuc Duong, Vethavikashini Chithrra Raghuram, Amos Lee, Rui Mao
, Gianmarco Mengaldo, Erik Cambria
:
Neurosymbolic AI for Mining Public Opinions about Wildfires. Cogn. Comput. 16(4): 1531-1553 (2024) - [j15]Marcin Rogowski, Brandon C. Y. Yeung, Oliver T. Schmidt, Romit Maulik, Lisandro Dalcín, Matteo Parsani
, Gianmarco Mengaldo
:
Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package. Comput. Phys. Commun. 302: 109246 (2024) - [i16]Hugues Turbé, Mina Bjelogrlic, Gianmarco Mengaldo, Christian Lovis:
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications. CoRR abs/2406.10025 (2024) - [i15]Gianmarco Mengaldo:
Explain the Black Box for the Sake of Science: Revisiting the Scientific Method in the Era of Generative Artificial Intelligence. CoRR abs/2406.10557 (2024) - [i14]Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo:
Explainable Natural Language Processing for Corporate Sustainability Analysis. CoRR abs/2407.17487 (2024) - [i13]Jiawen Wei, Hugues Turbé, Gianmarco Mengaldo:
Revisiting the robustness of post-hoc interpretability methods. CoRR abs/2407.19683 (2024) - 2023
- [j14]Hugues Turbé
, Mina Bjelogrlic
, Christian Lovis
, Gianmarco Mengaldo
:
Evaluation of post-hoc interpretability methods in time-series classification. Nat. Mac. Intell. 5(3): 250-260 (2023) - [c2]Keane Ong, Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo:
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. ICDM (Workshops) 2023: 773-782 - [i12]Keane Ong, Wihan van der Heever, Ranjan Satapathy, Gianmarco Mengaldo, Erik Cambria:
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. CoRR abs/2303.02563 (2023) - [i11]Marcin Rogowski, Brandon C. Y. Yeung, Oliver T. Schmidt, Romit Maulik, Lisandro Dalcín, Matteo Parsani, Gianmarco Mengaldo:
Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package. CoRR abs/2309.11808 (2023) - [i10]Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo:
A Comprehensive Review on Financial Explainable AI. CoRR abs/2309.11960 (2023) - 2022
- [j13]Andrea Lario, Romit Maulik, Oliver T. Schmidt, Gianluigi Rozza
, Gianmarco Mengaldo:
Neural-network learning of SPOD latent dynamics. J. Comput. Phys. 468: 111475 (2022) - [j12]Rodrigo Costa Moura
, Lucas Dantas Fernandes
, A. F. C. Silva
, Gianmarco Mengaldo
, Spencer J. Sherwin
:
Spectral/hp element methods' linear mechanism of (apparent) energy transfer in Fourier space: Insights into dispersion analysis for implicit LES. J. Comput. Phys. 471: 111613 (2022) - [i9]Martin W. Hess, Andrea Lario, Gianmarco Mengaldo, Gianluigi Rozza:
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives. CoRR abs/2201.05404 (2022) - [i8]Hugues Turbé, Mina Bjelogrlic, Christian Lovis, Gianmarco Mengaldo:
InterpretTime: a new approach for the systematic evaluation of neural-network interpretability in time series classification. CoRR abs/2202.05656 (2022) - [i7]Niccolò Tonicello, Andrea Lario, Gianluigi Rozza, Gianmarco Mengaldo:
Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics. CoRR abs/2212.10198 (2022) - 2021
- [j11]Gianmarco Mengaldo
, Romit Maulik
:
PySPOD: A Python package for Spectral Proper Orthogonal Decomposition (SPOD). J. Open Source Softw. 6(60): 2862 (2021) - [j10]Gianmarco Mengaldo
, David Moxey
, Michael Turner, Rodrigo Costa Moura, Ayad Jassim, Mark Taylor, Joaquim Peiró
, Spencer J. Sherwin
:
Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods. SIAM Rev. 63(4): 723-755 (2021) - [c1]Romit Maulik
, Gianmarco Mengaldo:
PyParSVD: A streaming, distributed and randomized singular-value-decomposition library. DRBSD@SC 2021: 19-25 - [i6]Romit Maulik, Gianmarco Mengaldo:
PyParSVD: A streaming, distributed and randomized singular-value-decomposition library. CoRR abs/2108.08845 (2021) - [i5]Andrea Lario, Romit Maulik, Gianluigi Rozza, Gianmarco Mengaldo:
Neural-network learning of SPOD latent dynamics. CoRR abs/2110.09218 (2021) - [i4]Niccolò Tonicello, Rodrigo Costa Moura, Guido Lodato, Gianmarco Mengaldo:
Fully-discrete spatial eigenanalysis of discontinuous spectral element methods: insights into well-resolved and under-resolved vortical flows. CoRR abs/2111.13891 (2021) - 2020
- [j9]David Moxey
, Chris D. Cantwell, Yan Bao
, Andrea Cassinelli
, Giacomo Castiglioni
, Sehun Chun
, Emilia Juda, Ehsan Kazemi, Kilian Lackhove, Julian Marcon
, Gianmarco Mengaldo, Douglas Serson
, Michael Turner, Hui Xu, Joaquim Peiró, Robert M. Kirby, Spencer J. Sherwin
:
Nektar++: Enhancing the capability and application of high-fidelity spectral/hp element methods. Comput. Phys. Commun. 249: 107110 (2020) - [j8]Benedikt Dorschner, Ke Yu, Gianmarco Mengaldo
, Tim Colonius:
A fast multi-resolution lattice Green's function method for elliptic difference equations. J. Comput. Phys. 407: 109270 (2020) - [i3]Gianmarco Mengaldo, David Moxey, Michael Turner, Rodrigo Costa Moura, Ayad Jassim, Mark Taylor, Joaquim Peiró, Spencer J. Sherwin:
Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods. CoRR abs/2009.10178 (2020)
2010 – 2019
- 2019
- [i2]David Moxey, Chris D. Cantwell, Yan Bao, Andrea Cassinelli, Giacomo Castiglioni, Sehun Chun, Emilia Juda, Ehsan Kazemi, Kilian Lackhove, Julian Marcon
, Gianmarco Mengaldo, Douglas Serson, Michael Turner, Hui Xu, Joaquim Peiró, Robert M. Kirby, Spencer J. Sherwin:
Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods. CoRR abs/1906.03489 (2019) - [i1]Gianmarco Mengaldo:
Batch 1: Definition of several Weather & Climate Dwarfs. CoRR abs/1908.06089 (2019) - 2018
- [j7]Gianmarco Mengaldo
, Daniele De Grazia, Rodrigo Costa Moura
, Spencer J. Sherwin
:
Spatial eigensolution analysis of energy-stable flux reconstruction schemes and influence of the numerical flux on accuracy and robustness. J. Comput. Phys. 358: 1-20 (2018) - [j6]Andrew R. Winters, Rodrigo Costa Moura
, Gianmarco Mengaldo
, Gregor J. Gassner
, Stefanie Walch
, Joaquim Peiró, Spencer J. Sherwin
:
A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations. J. Comput. Phys. 372: 1-21 (2018) - 2017
- [j5]Willem Deconinck
, Peter Bauer, Michail Diamantakis
, Mats Hamrud, Christian Kühnlein, Pedro Maciel, Gianmarco Mengaldo
, Tiago Quintino, Baudouin Raoult, Piotr K. Smolarkiewicz, Nils P. Wedi:
Atlas : A library for numerical weather prediction and climate modelling. Comput. Phys. Commun. 220: 188-204 (2017) - [j4]Rodrigo Costa Moura
, Gianmarco Mengaldo
, Joaquim Peiró, Spencer J. Sherwin
:
On the eddy-resolving capability of high-order discontinuous Galerkin approaches to implicit LES / under-resolved DNS of Euler turbulence. J. Comput. Phys. 330: 615-623 (2017) - 2016
- [j3]Gianmarco Mengaldo
, Daniele De Grazia, Peter E. Vincent, Spencer J. Sherwin
:
On the Connections Between Discontinuous Galerkin and Flux Reconstruction Schemes: Extension to Curvilinear Meshes. J. Sci. Comput. 67(3): 1272-1292 (2016) - 2015
- [j2]Chris D. Cantwell
, David Moxey
, A. Comerford, A. Bolis, G. Rocco, Gianmarco Mengaldo
, Daniele De Grazia, Sergey Yakovlev, J.-E. Lombard, D. Ekelschot, B. Jordi, Hui Xu
, Yumnah Mohamied, Claes Eskilsson
, B. Nelson, Peter E. J. Vos, C. Biotto, Robert Michael Kirby, Spencer J. Sherwin
:
Nektar++: An open-source spectral/hp element framework. Comput. Phys. Commun. 192: 205-219 (2015) - [j1]Gianmarco Mengaldo
, Daniele De Grazia, David Moxey
, Peter E. Vincent, Spencer J. Sherwin
:
Dealiasing techniques for high-order spectral element methods on regular and irregular grids. J. Comput. Phys. 299: 56-81 (2015)
Coauthor Index
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last updated on 2024-08-25 19:13 CEST by the dblp team
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