Gianmarco Mengaldo

58 papers A* 2Journal 52Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hybrid two-level MCMC framework to accelerate posterior mean estimation with deep learning surrogates for bayesian inverse problems. J. Comput. Phys. Juntao Yang, Jeff Adie, Simon See, Adriano Gualandi, Gianmarco Mengaldo
2026	J	`jnl`	Enhancing Language Models for Robust Greenwashing Detection. CoRR Neil Heinrich Braun, Keane Ong, Rui Mao, Erik Cambria, Gianmarco Mengaldo
2026	J	`jnl`	Explainable AI: Learning from the Learners. CoRR Ricardo Vinuesa, Steven L. Brunton, Gianmarco Mengaldo
2026	J	`jnl`	Hierarchy of extreme-event predictability in turbulence revealed by machine learning. CoRR Yuxuan Yang, Chenyu Dong, Gianmarco Mengaldo
2026	J	`jnl`	Language models for environmental, social, and governance analysis: A review. Inf. Process. Manag. Kelvin Du, Rui Mao, Frank Xing, Gianmarco Mengaldo, Erik Cambria
2026	J	`jnl`	OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization. CoRR Keane Ong, Sabri Boughorbel, Luwei Xiao, Chanakya Ekbote, Wei Dai, Ao Qu, Jingyao Wu, Rui Mao, Ehsan Hoque, Erik Cambria, Gianmarco Mengaldo, Paul Pu Liang
2025	J	`jnl`	A comprehensive review on financial explainable AI. Artif. Intell. Rev. Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo
2025	J	`jnl`	AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions. CoRR Stephen G. Dale, Nikita Kazeev, Alastair J. A. Price, Victor Posligua, Stephan Roche, O. Anatole von Lilienfeld, Konstantin S. Novoselov, Xavier Bresson, Gianmarco Mengaldo, Xudong Chen, Terence J. O'Kane, Emily R. Lines, Matthew J. Allen, Amandine E. Debus, Clayton Miller, Jiayu Zhou, Hiroko H. Dodge, David Rousseau, Andrey Ustyuzhanin, Ziyun Yan, Mario Lanza, Fabio Sciarrino, Ryo Yoshida, Zhidong Leong, Teck Leong Tan, Qianxiao Li, Adil Kabylda, Igor Poltavsky, Alexandre Tkatchenko, Sherif Abdulkader Tawfik, Prathami Divakar Kamath, Théo Jaffrelot Inizan, Kristin A. Persson, Bryant Y. Li, Vir Karan, Chenru Duan, Haojun Jia, Qiyuan Zhao, Hiroyuki Hayashi, Atsuto Seko, Isao Tanaka, Omar M. Yaghi, Tim Gould, Bun Chan, Stefan Vuckovic, Tianbo Li, Min Lin, Zehcen Tang, Yang Li, Yong Xu, Amrita Joshi, Xiaonan Wang, Leonard W. T. Ng, Sergei V. Kalinin, Mahshid Ahmadi, Jiyizhe Zhang, Shuyuan Zhang, Alexei A. Lapkin, Ming Xiao, Zhe Wu, Kedar Hippalgaonkar, Limsoon Wong, Lorenzo Bastonero, Nicola Marzari, Dorye Luis Esteras Cordoba, Andrei Tomut, Alba Quinones Andrade, Jose-Hugo Garcia
2025	J	`jnl`	ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics. CoRR Deeksha Varshney, Keane Ong, Rui Mao, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints. CoRR Xin Wang, Juntao Yang, Jeff Adie, Simon See, Kalli Furtado, Chen Chen, Troy Arcomano, Romit Maulik, Gianmarco Mengaldo
2025	A*	`conf`	Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation. EMNLP Keane Ong, Rui Mao, Deeksha Varshney, Paul Pu Liang, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation. CoRR Keane Ong, Rui Mao, Deeksha Varshney, Paul Pu Liang, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	Dynamical errors in machine learning forecasts. CoRR Zhou Fang, Gianmarco Mengaldo
2025	J	`jnl`	ESGSenticNet: A Neurosymbolic Knowledge Base for Corporate Sustainability Analysis. CoRR Keane Ong, Rui Mao, Frank Xing, Ranjan Satapathy, Johan Sulaeman, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	Explainability matters: The effect of liability rules on the healthcare sector. CoRR Jiawen Wei, Elena Verona, Andrea Bertolini, Gianmarco Mengaldo
2025	J	`jnl`	Explainable natural language processing for corporate sustainability analysis. Inf. Fusion Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo
2025	J	`jnl`	Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understanding. CoRR Keane Ong, Wei Dai, Carol Li, Dewei Feng, Hengzhi Li, Jingyao Wu, Jiaee Cheong, Rui Mao, Gianmarco Mengaldo, Erik Cambria, Paul Pu Liang
2025	J	`jnl`	Leveraging LLMS for Top-Down Sector Allocation In Automated Trading. CoRR Ryan Quek Wei Heng, Edoardo Vittori, Keane Ong, Rui Mao, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	Tell me why: Visual foundation models as self-explainable classifiers. CoRR Hugues Turbé, Mina Bjelogrlic, Gianmarco Mengaldo, Christian Lovis
2025	—	`conf`	Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization. ACL (1) Keane Ong, Rui Mao, Deeksha Varshney, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization. CoRR Keane Ong, Rui Mao, Deeksha Varshney, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change. CoRR Jiawen Wei, Aniruddha Bora, Vivek Oommen, Chenyu Dong, Juntao Yang, Jeff Adie, Chen Chen, Simon See, George E. Karniadakis, Gianmarco Mengaldo
2025	J	`jnl`	eXIAA: eXplainable Injections for Adversarial Attack. CoRR Leonardo Pesce, Jiawen Wei, Gianmarco Mengaldo
2024	J	`jnl`	Explain the Black Box for the Sake of Science: Revisiting the Scientific Method in the Era of Generative Artificial Intelligence. CoRR Gianmarco Mengaldo
2024	J	`jnl`	Explainable Natural Language Processing for Corporate Sustainability Analysis. CoRR Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo
2024	J	`jnl`	Neurosymbolic AI for Mining Public Opinions about Wildfires. Cogn. Comput. Cuc Duong, Vethavikashini Chithrra Raghuram, Amos Lee, Rui Mao, Gianmarco Mengaldo, Erik Cambria
2024	J	`jnl`	ProtoS-ViT: Visual foundation models for sparse self-explainable classifications. CoRR Hugues Turbé, Mina Bjelogrlic, Gianmarco Mengaldo, Christian Lovis
2024	J	`jnl`	Revisiting the robustness of post-hoc interpretability methods. CoRR Jiawen Wei, Hugues Turbé, Gianmarco Mengaldo
2024	—	`conf`	Sentiment Analysis on Climate Change for Sustainable Investment. ICDM (Workshops) Keane Ong, Rui Mao, Deeksha Varshney, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo
2024	A*	`conf`	Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor. IJCAI Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria
2024	J	`jnl`	Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package. Comput. Phys. Commun. Marcin Rogowski, Brandon C. Y. Yeung, Oliver T. Schmidt, Romit Maulik, Lisandro Dalcín, Matteo Parsani, Gianmarco Mengaldo
2023	J	`jnl`	A Comprehensive Review on Financial Explainable AI. CoRR Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo
2023	J	`jnl`	Evaluation of post-hoc interpretability methods in time-series classification. Nat. Mac. Intell. Hugues Turbé, Mina Bjelogrlic, Christian Lovis, Gianmarco Mengaldo
2023	—	`conf`	FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. ICDM (Workshops) Keane Ong, Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo
2023	J	`jnl`	FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. CoRR Keane Ong, Wihan van der Heever, Ranjan Satapathy, Gianmarco Mengaldo, Erik Cambria
2023	J	`jnl`	Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package. CoRR Marcin Rogowski, Brandon C. Y. Yeung, Oliver T. Schmidt, Romit Maulik, Lisandro Dalcín, Matteo Parsani, Gianmarco Mengaldo
2022	J	`jnl`	InterpretTime: a new approach for the systematic evaluation of neural-network interpretability in time series classification. CoRR Hugues Turbé, Mina Bjelogrlic, Christian Lovis, Gianmarco Mengaldo
2022	J	`jnl`	Neural-network learning of SPOD latent dynamics. J. Comput. Phys. Andrea Lario, Romit Maulik, Oliver T. Schmidt, Gianluigi Rozza, Gianmarco Mengaldo
2022	J	`jnl`	Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics. CoRR Niccolò Tonicello, Andrea Lario, Gianluigi Rozza, Gianmarco Mengaldo
2022	J	`jnl`	Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives. CoRR Martin W. Hess, Andrea Lario, Gianmarco Mengaldo, Gianluigi Rozza
2022	J	`jnl`	Spectral/hp element methods' linear mechanism of (apparent) energy transfer in Fourier space: Insights into dispersion analysis for implicit LES. J. Comput. Phys. Rodrigo Costa Moura, Lucas Dantas Fernandes, A. F. C. Silva, Gianmarco Mengaldo, Spencer J. Sherwin
2021	J	`jnl`	Fully-discrete spatial eigenanalysis of discontinuous spectral element methods: insights into well-resolved and under-resolved vortical flows. CoRR Niccolò Tonicello, Rodrigo Costa Moura, Guido Lodato, Gianmarco Mengaldo
2021	J	`jnl`	Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/ SIAM Rev. Gianmarco Mengaldo, David Moxey, Michael Turner, Rodrigo Costa Moura, Ayad Jassim, Mark Taylor, Joaquim Peiró, Spencer J. Sherwin
2021	J	`jnl`	Neural-network learning of SPOD latent dynamics. CoRR Andrea Lario, Romit Maulik, Gianluigi Rozza, Gianmarco Mengaldo
2021	—	`conf`	PyParSVD: A streaming, distributed and randomized singular-value-decomposition library. DRBSD@SC Romit Maulik, Gianmarco Mengaldo
2021	J	`jnl`	PyParSVD: A streaming, distributed and randomized singular-value-decomposition library. CoRR Romit Maulik, Gianmarco Mengaldo
2021	J	`jnl`	PySPOD: A Python package for Spectral Proper Orthogonal Decomposition (SPOD). J. Open Source Softw. Gianmarco Mengaldo, Romit Maulik
2020	J	`jnl`	A fast multi-resolution lattice Green's function method for elliptic difference equations. J. Comput. Phys. Benedikt Dorschner, Ke Yu, Gianmarco Mengaldo, Tim Colonius
2020	J	`jnl`	Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods. CoRR Gianmarco Mengaldo, David Moxey, Michael Turner, Rodrigo Costa Moura, Ayad Jassim, Mark Taylor, Joaquim Peiró, Spencer J. Sherwin
2019	J	`jnl`	Batch 1: Definition of several Weather & Climate Dwarfs. CoRR Gianmarco Mengaldo
2019	J	`jnl`	Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods. CoRR 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
2018	J	`jnl`	A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations. J. Comput. Phys. Andrew R. Winters, Rodrigo Costa Moura, Gianmarco Mengaldo, Gregor J. Gassner, Stefanie Walch, Joaquim Peiró, Spencer J. Sherwin
2018	J	`jnl`	Spatial eigensolution analysis of energy-stable flux reconstruction schemes and influence of the numerical flux on accuracy and robustness. J. Comput. Phys. Gianmarco Mengaldo, Daniele De Grazia, Rodrigo Costa Moura, Spencer J. Sherwin
2017	J	`jnl`	Atlas : A library for numerical weather prediction and climate modelling. Comput. Phys. Commun. Willem Deconinck, Peter Bauer, Michail Diamantakis, Mats Hamrud, Christian Kühnlein, Pedro Maciel, Gianmarco Mengaldo, Tiago Quintino, Baudouin Raoult, Piotr K. Smolarkiewicz, Nils P. Wedi
2017	J	`jnl`	On the eddy-resolving capability of high-order discontinuous Galerkin approaches to implicit LES / under-resolved DNS of Euler turbulence. J. Comput. Phys. Rodrigo Costa Moura, Gianmarco Mengaldo, Joaquim Peiró, Spencer J. Sherwin
2016	J	`jnl`	On the Connections Between Discontinuous Galerkin and Flux Reconstruction Schemes: Extension to Curvilinear Meshes. J. Sci. Comput. Gianmarco Mengaldo, Daniele De Grazia, Peter E. Vincent, Spencer J. Sherwin
2015	J	`jnl`	Dealiasing techniques for high-order spectral element methods on regular and irregular grids. J. Comput. Phys. Gianmarco Mengaldo, Daniele De Grazia, David Moxey, Peter E. Vincent, Spencer J. Sherwin
2015	J	`jnl`	Nektar++: An open-source spectral/hp element framework. Comput. Phys. Commun. Chris D. Cantwell, David Moxey, Andrew Comerford, Alessandro Bolis, Gabriele Rocco, Gianmarco Mengaldo, Daniele De Grazia, Sergey Yakovlev, Jean-Eloise Lombard, Dirk Ekelschot, Bastien Jordi, Hui Xu, Yumnah Mohamied, Claes Eskilsson, Blake Nelson, Peter E. J. Vos, Cristian Biotto, Robert Michael Kirby, Spencer J. Sherwin