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Pierre F. J. Lermusiaux
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2020 – today
- 2024
- [j17]Aaron Charous, Pierre F. J. Lermusiaux:
Stable Rank-Adaptive Dynamically Orthogonal Runge-Kutta Schemes. SIAM J. Sci. Comput. 46(1): 529- (2024) - 2023
- [j16]Corbin Foucart, Aaron Charous, Pierre F. J. Lermusiaux:
Deep reinforcement learning for adaptive mesh refinement. J. Comput. Phys. 491: 112381 (2023) - [j15]Aaron Charous, Pierre F. J. Lermusiaux:
Dynamically Orthogonal Runge-Kutta Schemes with Perturbative Retractions for the Dynamical Low-Rank Approximation. SIAM J. Sci. Comput. 45(2): 872- (2023) - [c11]Andreas Doering, Marius Wiggert, Hanna Krasowski, Manan Doshi, Pierre F. J. Lermusiaux, Claire J. Tomlin:
Stranding Risk for Underactuated Vessels in Complex Ocean Currents: Analysis and Controllers. CDC 2023: 7055-7060 - [i8]Abhinav Gupta, Pierre F. J. Lermusiaux:
Generalized Neural Closure Models with Interpretability. CoRR abs/2301.06198 (2023) - [i7]Matthias Killer, Marius Wiggert, Hanna Krasowski, Manan Doshi, Pierre F. J. Lermusiaux, Claire J. Tomlin:
Maximizing Seaweed Growth on Autonomous Farms: A Dynamic Programming Approach for Underactuated Systems Navigating on Uncertain Ocean Currents. CoRR abs/2307.01916 (2023) - [i6]Andreas Doering, Marius Wiggert, Hanna Krasowski, Manan Doshi, Pierre F. J. Lermusiaux, Claire J. Tomlin:
Stranding Risk for Underactuated Vessels in Complex Ocean Currents: Analysis and Controllers. CoRR abs/2307.01917 (2023) - [i5]Ellery Rajagopal, Anantha N. S. Babu, Tony Ryu, Patrick J. Haley Jr., Chris Mirabito, Pierre F. J. Lermusiaux:
Evaluation of Deep Neural Operator Models toward Ocean Forecasting. CoRR abs/2308.11814 (2023) - 2022
- [c10]Marius Wiggert, Manan Doshi, Pierre F. J. Lermusiaux, Claire J. Tomlin:
Navigating Underactuated Agents by Hitchhiking Forecast Flows. CDC 2022: 2417-2424 - [c9]Manan Doshi, Manmeet Bhabra, Marius Wiggert, Claire J. Tomlin, Pierre F. J. Lermusiaux:
Hamilton-Jacobi Multi-Time Reachability. CDC 2022: 2443-2450 - [i4]Corbin Foucart, Aaron Charous, Pierre F. J. Lermusiaux:
Deep Reinforcement Learning for Adaptive Mesh Refinement. CoRR abs/2209.12351 (2022) - [i3]Abhinav Gupta, Pierre F. J. Lermusiaux:
Bayesian Learning of Coupled Biogeochemical-Physical Models. CoRR abs/2211.06714 (2022) - [i2]Aaron Charous, Pierre F. J. Lermusiaux:
Stable rank-adaptive Dynamically Orthogonal Runge-Kutta schemes. CoRR abs/2211.07852 (2022) - 2021
- [j14]Jing Lin, Pierre F. J. Lermusiaux:
Minimum-correction second-moment matching: theory, algorithms and applications. Numerische Mathematik 147(3): 611-650 (2021) - 2020
- [j13]Gianandrea Mannarini, Deepak N. Subramani, Pierre F. J. Lermusiaux, Nadia Pinardi:
Graph-Search and Differential Equations for Time-Optimal Vessel Route Planning in Dynamic Ocean Waves. IEEE Trans. Intell. Transp. Syst. 21(8): 3581-3593 (2020) - [c8]Chinmay S. Kulkarni, Abhinav Gupta, Pierre F. J. Lermusiaux:
Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems. DDDAS 2020: 208-216 - [i1]Abhinav Gupta, Pierre F. J. Lermusiaux:
Neural Closure Models for Dynamical Systems. CoRR abs/2012.13869 (2020)
2010 – 2019
- 2019
- [j12]Yolanda Gil, Suzanne A. Pierce, Hassan A. Babaie, Arindam Banerjee, Kirk D. Borne, Gary S. Bust, Michelle Cheatham, Imme Ebert-Uphoff, Carla P. Gomes, Mary C. Hill, John D. Horel, Leslie Hsu, Jim Kinter, Craig A. Knoblock, David M. Krum, Vipin Kumar, Pierre F. J. Lermusiaux, Yan Liu, Chris North, Victor Pankratius, Shanan Peters, Beth Plale, Allen Pope, Sai Ravela, Juan Restrepo, Aaron J. Ridley, Hanan Samet, Shashi Shekhar:
Intelligent systems for geosciences: an essential research agenda. Commun. ACM 62(1): 76-84 (2019) - [j11]Chinmay S. Kulkarni, Pierre F. J. Lermusiaux:
Advection without compounding errors through flow map composition. J. Comput. Phys. 398 (2019) - [j10]Florian Feppon, Pierre F. J. Lermusiaux:
The Extrinsic Geometry of Dynamical Systems Tracking Nonlinear Matrix Projections. SIAM J. Matrix Anal. Appl. 40(2): 814-844 (2019) - 2018
- [j9]Jean Aoussou, Jing Lin, Pierre F. J. Lermusiaux:
Iterated pressure-correction projection methods for the unsteady incompressible Navier-Stokes equations. J. Comput. Phys. 373: 940-974 (2018) - [j8]Florian Feppon, Pierre F. J. Lermusiaux:
A Geometric Approach to Dynamical Model Order Reduction. SIAM J. Matrix Anal. Appl. 39(1): 510-538 (2018) - [j7]Florian Feppon, Pierre F. J. Lermusiaux:
Dynamically Orthogonal Numerical Schemes for Efficient Stochastic Advection and Lagrangian Transport. SIAM Rev. 60(3): 595-625 (2018) - 2017
- [c7]Wei Sun, Panagiotis Tsiotras, Tapovan Lolla, Deepak N. Subramani, Pierre F. J. Lermusiaux:
Pursuit-evasion games in dynamic flow fields via reachability set analysis. ACC 2017: 4595-4600 - 2016
- [j6]Mattheus P. Ueckermann, Pierre F. J. Lermusiaux:
Hybridizable discontinuous Galerkin projection methods for Navier-Stokes and Boussinesq equations. J. Comput. Phys. 306: 390-421 (2016) - 2014
- [c6]Deepak N. Subramani, Tapovan Lolla, Patrick J. Haley Jr., Pierre F. J. Lermusiaux:
A Stochastic Optimization Method for Energy-Based Path Planning. DyDESS 2014: 347-358 - 2013
- [j5]Mattheus P. Ueckermann, Pierre F. J. Lermusiaux, Themistoklis P. Sapsis:
Numerical schemes for dynamically orthogonal equations of stochastic fluid and ocean flows. J. Comput. Phys. 233: 272-294 (2013) - 2012
- [c5]Tapovan Lolla, Mattheus P. Ueckermann, Konuralp Yigit, Patrick J. Haley, Pierre F. J. Lermusiaux:
Path planning in time dependent flow fields using level set methods. ICRA 2012: 166-173 - 2011
- [j4]Constantinos Evangelinos, Pierre F. J. Lermusiaux, Jinshan Xu, Patrick J. Haley, Chris N. Hill:
Many Task Computing for Real-Time Uncertainty Prediction and Data Assimilation in the Ocean. IEEE Trans. Parallel Distributed Syst. 22(6): 1012-1024 (2011)
2000 – 2009
- 2009
- [c4]Constantinos Evangelinos, Pierre F. J. Lermusiaux, Jinshan Xu, Patrick J. Haley, Chris N. Hill:
Many task computing for multidisciplinary ocean sciences: real-time uncertainty prediction and data assimilation. SC-MTAGS 2009 - 2007
- [j3]Kevin D. Heaney, Glen Gawarkiewicz, Timothy F. Duda, Pierre F. J. Lermusiaux:
Nonlinear optimization of autonomous undersea vehicle sampling strategies for oceanographic data-assimilation. J. Field Robotics 24(6): 437-448 (2007) - 2006
- [j2]Pierre F. J. Lermusiaux:
Uncertainty estimation and prediction for interdisciplinary ocean dynamics. J. Comput. Phys. 217(1): 176-199 (2006) - 2004
- [c3]Pierre F. J. Lermusiaux, Constantinos Evangelinos, R. Tian, Patrick J. Haley, J. J. McCarthy, Nicholas M. Patrikalakis, Allan R. Robinson, Henrik Schmidt:
Adaptive Coupled Physical and Biogeochemical Ocean Predictions: A Conceptual Basis. International Conference on Computational Science 2004: 685-692 - 2003
- [c2]Constantinos Evangelinos, Robert Chang, Pierre F. J. Lermusiaux, Nicholas M. Patrikalakis:
Rapid Real-Time Interdisciplinary Ocean Forecasting Using Adaptive Sampling and Adaptive Modeling and Legacy Codes: Component Encapsulation Using XML. International Conference on Computational Science 2003: 375-384 - 2002
- [j1]Suzana Djurcilov, Kwansik Kim, Pierre F. J. Lermusiaux, Alex Pang:
Visualizing scalar volumetric data with uncertainty. Comput. Graph. 26(2): 239-248 (2002) - 2001
- [c1]Suzana Djurcilov, Kwansik Kim, Pierre F. J. Lermusiaux, Alex Pang:
Volume Rendering Data with Uncertainty Information. VisSym 2001: 243-252
Coauthor Index
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