Petros Koumoutsakos

Orcid: 0000-0001-8337-2122

According to our database1, Petros Koumoutsakos authored at least 129 papers between 2000 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Generative Learning for Forecasting the Dynamics of Complex Systems.
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

Interpretable learning of effective dynamics for multiscale systems.
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

Interpretable reduced-order modeling with time-scale separation.
CoRR, 2023

Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts.
CoRR, 2023

2022
Multiscale simulations of complex systems by learning their effective dynamics.
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

Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning.
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

Automating turbulence modelling by multi-agent reinforcement learning.
Nat. Mach. Intell., 2021

Robotics in the AI era: A vision for a Hellenic Robotics Initiative.
Found. Trends Robotics, 2021

Scientific multi-agent reinforcement learning for wall-models of turbulent flows.
CoRR, 2021

Learning swimming escape patterns under energy constraints.
CoRR, 2021

Computing foaming flows across scales: from breaking waves to microfluidics.
CoRR, 2021

Learning Efficient Navigation in Vortical Flow Fields.
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

Mirheo: High-performance mesoscale simulations for microfluidics.
Comput. Phys. Commun., 2020

Improved Memories Learning.
CoRR, 2020

Learning the Effective Dynamics of Complex Multiscale Systems.
CoRR, 2020

Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification.
CoRR, 2020

Automating Turbulence Modeling by Multi-Agent Reinforcement Learning.
CoRR, 2020

Load Balancing in Large Scale Bayesian Inference.
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

Machine Learning for Fluid Mechanics.
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

(μ, λ)-CCMA-ES for Constrained Optimization with an Application in Pharmacodynamics.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2019

Remember and Forget for Experience Replay.
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

Petascale simulations of compressible flows with interfaces.
J. Comput. Sci., 2018

The art of computational science: Bridging gaps - forming alloys.
J. Comput. Sci., 2018

Deep-Reinforcement-Learning for Gliding and Perching Bodies.
CoRR, 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

ContextVP: Fully Context-Aware Video Prediction.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Fully Context-Aware Video Prediction.
CoRR, 2017

Optimal fidelity multi-level Monte Carlo for quantification of uncertainty in simulations of cloud cavitation collapse.
CoRR, 2017

Pareto Optimal Swimmers.
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

Fast Motion of Heaving Airfoils.
Proceedings of the International Conference on Computational Science, 2017

Large Scale Simulation of Cloud Cavitation Collapse.
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

Multiscale Modelling and Simulation, 14th International Workshop.
Proceedings of the International Conference on Computational Science, 2017

Multi-objective optimization of artificial swimmers.
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

Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations.
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

Iterative Brinkman penalization for remeshed vortex methods.
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

High throughput simulations of two-phase flows on Blue Gene/Q.
Proceedings of the Parallel Computing: On the Road to Exascale, 2015

Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification.
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

Towards a living earth simulator
CoRR, 2013

11 PFLOP/s simulations of cloud cavitation collapse.
Proceedings of the International Conference for High Performance Computing, 2013

High performance CPU/GPU multiresolution Poisson solver.
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013

2012
Multiscale simulation of water flow past a C<sub>540</sub> fullerene.
J. Comput. Phys., 2012

GPU and APU computations of Finite Time Lyapunov Exponent fields.
J. Comput. Phys., 2012

High Performance CPU Kernels for Multiphase Compressible Flows.
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

Adaptive mesh refinement for stochastic reaction-diffusion processes.
J. Comput. Phys., 2011

Wavelet-adaptive solvers on multi-core architectures for the simulation of complex systems.
Concurr. Comput. Pract. Exp., 2011

2010
GPU accelerated simulations of bluff body flows using vortex particle methods.
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

Optimization of Aircraft Wake Alleviation Schemes through an Evolution Strategy.
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

D-leaping: Accelerating stochastic simulation algorithms for reactions with delays.
J. Comput. Phys., 2009

theta-SHAKE: An extension to SHAKE for the explicit treatment of angular constraints.
Comput. Phys. Commun., 2009

Edge detection in microscopy images using curvelets.
BMC Bioinform., 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
Vortex methods for incompressible flow simulations on the GPU.
Vis. Comput., 2008

Preface.
J. Comput. Phys., 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

Fluids and Supercomputers: The Billion Particle Era.
ERCIM News, 2008

Vortex Methods for Massively Parallel Computer Architectures.
Proceedings of the High Performance Computing for Computational Science, 2008

Flow simulations using particles: bridging computer graphics and CFD.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2008

The secret life of vortices.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2008

A Hybrid Model of Sprouting Angiogenesis.
Proceedings of the Computational Science, 2008

A Control Algorithm for Multiscale Simulations of Liquid Water.
Proceedings of the Computational Science, 2008

2007
A stochastic boundary forcing for dissipative particle dynamics.
J. Comput. Phys., 2007

Large Scale Three-Dimensional Boundary Element Simulation of Subduction.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

2006
A Lagrangian Particle-Wavelet Method.
Multiscale Model. Simul., 2006

PPM - A highly efficient parallel particle-mesh library for the simulation of continuum systems.
J. Comput. Phys., 2006

Multiresolution Simulations Using Particles.
Proceedings of the High Performance Computing for Computational Science, 2006

Local Meta-models for Optimization Using Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature, 2006

When Do Heavy-Tail Distributions Help?
Proceedings of the Parallel Problem Solving from Nature, 2006

A Software Framework for the Portable Parallelization of Particle-Mesh Simulations.
Proceedings of the Euro-Par 2006, Parallel Processing, 12th International Euro-Par Conference, Dresden, Germany, August 28, 2006

2005
Accelerating evolutionary algorithms with Gaussian process fitness function models.
IEEE Trans. Syst. Man Cybern. Part C, 2005

Special Section on Multiscale Modeling in Materials and Life Sciences.
Multiscale Model. Simul., 2005

Multilevel Adaptive Particle Methods for Convection-Diffusion Equations.
Multiscale Model. Simul., 2005

2004
Self-organizing nets for optimization.
IEEE Trans. Neural Networks, 2004

Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review.
Nat. Comput., 2004

A Mixed Bayesian Optimization Algorithm with Variance Adaptation.
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

Self-Adaptation for Multi-objective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

2002
Optimization based on bacterial chemotaxis.
IEEE Trans. Evol. Comput., 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

Self-organizing Maps for Pareto Optimization of Airfoils.
Proceedings of the Parallel Problem Solving from Nature, 2002

Step size adaptation in evolution strategies using reinforcement learning.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Active Learning with Adaptive Grids.
Proceedings of the Artificial Neural Networks, 2001

Microchannel Optimization Using Multiobjective Evolution Strategies.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2001

Evolution strategies for the optimization of microdevices.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
A Clustering Genetic Algorithm for Actuator Optimization in Flow Control.
Proceedings of the 2nd NASA / DoD Workshop on Evolvable Hardware (EH 2000), 2000

Evolving strategies for active flow control.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

Vortex methods - theory and practice.
Cambridge University Press, ISBN: 978-0-521-62186-1, 2000


  Loading...