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2020 – today
- 2024
[i4]Shengjuan Cai, Fangxin Fang, Vincent-Henri Peuch, Mihai Alexe, Ionel Michael Navon, Yanghua Wang:
Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet). CoRR abs/2406.19154 (2024)- [i3]Anthony McNally, Christian Lessig, Peter Lean, Eulalie Boucher, Mihai Alexe, Ewan Pinnington, Matthew Chantry, Simon Lang, Chris Burrows, Marcin Chrust, Florian Pinault, Ethel Villeneuve, Niels Bormann, Sean Healy:
Data driven weather forecasts trained and initialised directly from observations. CoRR abs/2407.15586 (2024) - [i2]Thomas Nils Nipen, Håvard Homleid Haugen, Magnus Sikora Ingstad, Even Marius Nordhagen, Aram Farhad Shafiq Salihi, Paulina Tedesco, Ivar Ambjørn Seierstad, Jørn Kristiansen, Simon Lang, Mihai Alexe, Jesper Sören Dramsch, Baudouin Raoult, Gert Mertes, Matthew Chantry:
Regional data-driven weather modeling with a global stretched-grid. CoRR abs/2409.02891 (2024) - [i1]Thomas Rackow, Nikolay Koldunov, Christian Lessig, Irina Sandu, Mihai Alexe, Matthew Chantry, Mariana Clare, Jesper Sören Dramsch, Florian Pappenberger, Xabier Pedruzo-Bagazgoitia, Steffen Tietsche, Thomas Jung:
Robustness of AI-based weather forecasts in a changing climate. CoRR abs/2409.18529 (2024) - 2023
- [c4]Antonis Troumpoukis, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Eleni Tsalapati, Mohanad Albughdadi, Mihai Alexe, Vasileios Baousis, Omar Barrilero, Bryce Billière, Alexandra Bojor, Pedro Branco
, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand, Richard Hall, David Hassan, Michele Lazzarini, Adrian Luna, Dharmen Punjani, George Stamoulis, Giulio Weikmann, Marcin Ziólkowski, Xenia Ziouvelou, Manolis Koubarakis, Vangelis Karkaletsis:
Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation. BigDataService 2023: 9-16
2010 – 2019
- 2014
- [j4]Mihai Alexe, Adrian Sandu:
Space-time adaptive solution of inverse problems with the discrete adjoint method. J. Comput. Phys. 270: 21-39 (2014) - 2012
- [j3]Alexandru Cioaca, Mihai Alexe, Adrian Sandu:
Second-order adjoints for solving PDE-constrained optimization problems. Optim. Methods Softw. 27(4-5): 625-653 (2012) - 2011
- [b1]Mihai Alexe:
Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems. Virginia Tech, Blacksburg, VA, USA, 2011 - [c3]Mihai Alexe, Adrian Sandu:
On the adaptive solution of space-time inverse problems with the adjoint method. ICCS 2011: 1771-1781 - 2010
- [c2]Mihai Alexe, Alexandru Cioaca, Adrian Sandu:
Obtaining and using second order derivative information in the solution of large scale inverse problems. SpringSim 2010: 85
2000 – 2009
- 2009
- [j2]Mihai Alexe, Adrian Sandu:
Forward and adjoint sensitivity analysis with continuous explicit Runge-Kutta schemes. Appl. Math. Comput. 208(2): 328-346 (2009) - [j1]Mihai Alexe, Adrian Sandu:
On the discrete adjoints of adaptive time stepping algorithms. J. Comput. Appl. Math. 233(4): 1005-1020 (2009) - 2007
- [c1]Mihai Alexe, Adrian Sandu:
An investigation of discrete adjoints for flux-limited numerical schemes. ACM Southeast Regional Conference 2007: 373-378
Coauthor Index
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