Petros Koumoutsakos
Orcid: 0000-0001-8337-2122
According to our database1,
Petros Koumoutsakos
authored at least 135 papers
between 2000 and 2024.
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Bibliography
2024
J. Comput. Sci., 2024
Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems.
CoRR, 2024
CoRR, 2024
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations.
CoRR, 2024
Path planning of magnetic microswimmers in high-fidelity simulations of capillaries with deep reinforcement learning.
CoRR, 2024
Closure Discovery for Coarse-Grained Partial Differential Equations using Multi-Agent Reinforcement Learning.
CoRR, 2024
2023
Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss.
CoRR, 2023
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence.
CoRR, 2023
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning.
CoRR, 2023
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems.
CoRR, 2023
Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation.
CoRR, 2023
The stress-free state of human erythrocytes: data driven inference of a transferable RBC model.
CoRR, 2023
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts.
CoRR, 2023
2022
Nat. Mach. Intell., 2022
Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools.
CoRR, 2022
CoRR, 2022
Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field.
Adv. Intell. Syst., 2022
2021
Publisher Correction: Automating turbulence modelling by multi-agent reinforcement learning.
Nat. Mach. Intell., 2021
Nat. Mach. Intell., 2021
Found. Trends Robotics, 2021
CoRR, 2021
CoRR, 2021
Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics.
CoRR, 2021
2020
Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.
Neural Networks, 2020
Comput. Phys. Commun., 2020
Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification.
CoRR, 2020
Proceedings of the PASC '20: Platform for Advanced Scientific Computing Conference, Geneva, Switzerland, June 29, 2020
Aphros: High Performance Software for Multiphase Flows with Large Scale Bubble and Drop Clusters.
Proceedings of the PASC '20: Platform for Advanced Scientific Computing Conference, Geneva, Switzerland, June 29, 2020
2019
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference.
IEEE Trans. Medical Imaging, 2019
Automated identification and deep classification of cut marks on bones and its paleoanthropological implications.
J. Comput. Sci., 2019
Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms.
CoRR, 2019
A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows.
CoRR, 2019
Bending models of lipid bilayer membranes: spontaneous curvature and area-difference elasticity.
CoRR, 2019
A High Performance Computing Framework for Multiphase, Turbulent Flows on Structured Grids.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2019
Proceedings of the Platform for Advanced Scientific Computing Conference, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Multilevel Control Variates for Uncertainty Quantification in Simulations of Cloud Cavitation.
SIAM J. Sci. Comput., 2018
Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics.
SIAM J. Sci. Comput., 2018
J. Comput. Sci., 2018
Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration.
CoRR, 2018
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks.
CoRR, 2018
Efficient collective swimming by harnessing vortices through deep reinforcement learning.
CoRR, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2017
Optimal fidelity multi-level Monte Carlo for quantification of uncertainty in simulations of cloud cavitation collapse.
CoRR, 2017
Proceedings of the Platform for Advanced Scientific Computing Conference, 2017
Towards the Virtual Rheometer: High Performance Computing for the Red Blood Cell Microstructure.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2017
Proceedings of the International Conference on Computational Science, 2017
Proceedings of the International Conference on Computational Science, 2017
The Art of Computational Science, Bridging Gaps - Forming Alloys. Preface for ICCS 2017.
Proceedings of the International Conference on Computational Science, 2017
Proceedings of the International Conference on Computational Science, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
An Efficient Compressible Multicomponent Flow Solver for Heterogeneous CPU/GPU Architectures.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2016
Proceedings of the Platform for Advanced Scientific Computing Conference, 2016
2015
A comparative study of penalization and phase field methods for the solution of the diffusion equation in complex geometries.
J. Comput. Phys., 2015
MRAG-I2D: Multi-resolution adapted grids for remeshed vortex methods on multicore architectures.
J. Comput. Phys., 2015
Π4U: A high performance computing framework for Bayesian uncertainty quantification of complex models.
J. Comput. Phys., 2015
The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution.
Proceedings of the International Conference for High Performance Computing, 2015
Proceedings of the Parallel Computing: On the Road to Exascale, 2015
Proceedings of the Euro-Par 2015: Parallel Processing, 2015
2014
Reinforcement Learning and Wavelet Adapted Vortex Methods for Simulations of Self-propelled Swimmers.
SIAM J. Sci. Comput., 2014
2013
Coupling Remeshed Particle and Phase Field Methods for the Simulation of Reaction-Diffusion on the Surface and the Interior of Deforming Geometries.
SIAM J. Sci. Comput., 2013
Multiscale stochastic simulations of chemical reactions with regulated scale separation.
J. Comput. Phys., 2013
Proceedings of the International Conference for High Performance Computing, 2013
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013
2012
J. Comput. Phys., 2012
J. Comput. Phys., 2012
Proceedings of the High Performance Computing for Computational Science, 2012
High throughput software for direct numerical simulations of compressible two-phase flows.
Proceedings of the SC Conference on High Performance Computing Networking, 2012
2011
Multicore/Multi-GPU Accelerated Simulations of Multiphase Compressible Flows Using Wavelet Adapted Grids.
SIAM J. Sci. Comput., 2011
A comparison of vortex and pseudo-spectral methods for the simulation of periodic vortical flows at high Reynolds numbers.
J. Comput. Phys., 2011
Simulations of single and multiple swimmers with non-divergence free deforming geometries.
J. Comput. Phys., 2011
J. Comput. Phys., 2011
Wavelet-adaptive solvers on multi-core architectures for the simulation of complex systems.
Concurr. Comput. Pract. Exp., 2011
2010
J. Comput. Phys., 2010
High order finite volume methods on wavelet-adapted grids with local time-stepping on multicore architectures for the simulation of shock-bubble interactions.
J. Comput. Phys., 2010
A Fourier-based elliptic solver for vortical flows with periodic and unbounded directions.
J. Comput. Phys., 2010
Non-periodic Molecular Dynamics simulations of coarse grained lipid bilayer in water.
Comput. Math. Appl., 2010
Proceedings of the High Performance Computing for Computational Science - VECPAR 2010, 2010
2009
A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion.
IEEE Trans. Evol. Comput., 2009
A Stochastic Model for Microtubule Motors Describes the <i>In Vivo</i> Cytoplasmic Transport of Human Adenovirus.
PLoS Comput. Biol., 2009
J. Comput. Phys., 2009
theta-SHAKE: An extension to SHAKE for the explicit treatment of angular constraints.
Comput. Phys. Commun., 2009
Wavelet-Based Adaptive Solvers on Multi-core Architectures for the Simulation of Complex Systems.
Proceedings of the Euro-Par 2009 Parallel Processing, 2009
2008
A Lagrangian particle method for the simulation of linear and nonlinear elastic models of soft tissue.
J. Comput. Phys., 2008
An immersed boundary method for smoothed particle hydrodynamics of self-propelled swimmers.
J. Comput. Phys., 2008
An immersed boundary-lattice-Boltzmann method for the simulation of the flow past an impulsively started cylinder.
J. Comput. Phys., 2008
Proceedings of the High Performance Computing for Computational Science, 2008
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2008
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2008
Proceedings of the Computational Science, 2008
Proceedings of the Computational Science, 2008
2007
J. Comput. Phys., 2007
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
2006
PPM - A highly efficient parallel particle-mesh library for the simulation of continuum systems.
J. Comput. Phys., 2006
Proceedings of the High Performance Computing for Computational Science, 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the Euro-Par 2006, Parallel Processing, 12th International Euro-Par Conference, Dresden, Germany, August 28, 2006
2005
IEEE Trans. Syst. Man Cybern. Part C, 2005
Multiscale Model. Simul., 2005
Multiscale Model. Simul., 2005
2004
Learning probability distributions in continuous evolutionary algorithms - a comparative review.
Nat. Comput., 2004
Proceedings of the Parallel Problem Solving from Nature, 2004
2003
Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES).
Evol. Comput., 2003
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003
2002
Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations.
Proceedings of the Parallel Problem Solving from Nature, 2002
Proceedings of the Parallel Problem Solving from Nature, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
Proceedings of the Artificial Neural Networks, 2001
Proceedings of the Evolutionary Multi-Criterion Optimization, 2001
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
2000
Proceedings of the 2nd NASA / DoD Workshop on Evolvable Hardware (EH 2000), 2000
Proceedings of the 2000 Congress on Evolutionary Computation, 2000
Vortex methods - theory and practice.
Cambridge University Press, ISBN: 978-0-521-62186-1, 2000