Vortex methods - theory and practice. - Georges-Henri Cottet; Petros Koumoutsakos (Cambridge University Press, 2000)

Evolving strategies for active flow control. - Michele Milano; Petros Koumoutsakos; Xavier Giannakopoulos; Jürgen Schmidhuber (CEC, 2000)

A Clustering Genetic Algorithm for Actuator Optimization in Flow Control. - Michele Milano; Petros Koumoutsakos (Evolvable Hardware, 2000)

Evolution strategies for the optimization of microdevices. - Sibylle D. Müller; Ivo F. Sbalzarini; Jens H. Walther; Petros Koumoutsakos (CEC, 2001)

Microchannel Optimization Using Multiobjective Evolution Strategies. - Ivo F. Sbalzarini; Sibylle D. Müller; Petros Koumoutsakos (EMO, 2001)

Active Learning with Adaptive Grids. - Michele Milano; Jürgen Schmidhuber; Petros Koumoutsakos (ICANN, 2001)

Step size adaptation in evolution strategies using reinforcement learning. - Sibylle D. Müller; Nicol N. Schraudolph; Petros Koumoutsakos (IEEE Congress on Evolutionary Computation, 2002)

Self-organizing Maps for Pareto Optimization of Airfoils. - Dirk Büche; Gianfranco Guidati; Peter Stoll; Petros Koumoutsakos (PPSN, 2002)

Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations. - Sibylle D. Müller; Nikolaus Hansen; Petros Koumoutsakos (PPSN, 2002)

Optimization based on bacterial chemotaxis. - Sibylle D. Müller; Jarno Marchetto; Stefano Airaghi; Petros Koumoutsakos (IEEE Trans. Evol. Comput., 2002)

Self-Adaptation for Multi-objective Evolutionary Algorithms. - Dirk Büche; Sibylle D. Müller; Petros Koumoutsakos (EMO, 2003)

Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES). - Nikolaus Hansen; Sibylle D. Müller; Petros Koumoutsakos (Evol. Comput., 2003)

A Mixed Bayesian Optimization Algorithm with Variance Adaptation. - Jiri Ocenasek; Stefan Kern; Nikolaus Hansen; Petros Koumoutsakos (PPSN, 2004)

Learning probability distributions in continuous evolutionary algorithms - a comparative review. - Stefan Kern; Sibylle D. Müller; Nikolaus Hansen; Dirk Büche; Jiri Ocenasek; Petros Koumoutsakos (Nat. Comput., 2004)

Self-organizing nets for optimization. - Michele Milano; Petros Koumoutsakos; Jürgen Schmidhuber (IEEE Trans. Neural Networks, 2004)

Multilevel Adaptive Particle Methods for Convection-Diffusion Equations. - Michael Bergdorf; Georges-Henri Cottet; Petros Koumoutsakos (Multiscale Model. Simul., 2005)

Special Section on Multiscale Modeling in Materials and Life Sciences. - Thomas Yizhao Hou; Petros Koumoutsakos (Multiscale Model. Simul., 2005)

Accelerating evolutionary algorithms with Gaussian process fitness function models. - Dirk Büche; Nicol N. Schraudolph; Petros Koumoutsakos (IEEE Trans. Syst. Man Cybern. Part C, 2005)

A Software Framework for the Portable Parallelization of Particle-Mesh Simulations. - Ivo F. Sbalzarini; Jens H. Walther; B. Polasek; Philippe Chatelain; Michael Bergdorf; Simone Elke Hieber; Evangelos M. Kotsalis; Petros Koumoutsakos (Euro-Par, 2006)

When Do Heavy-Tail Distributions Help? - Nikolaus Hansen; Fabian Gemperle; Anne Auger; Petros Koumoutsakos (PPSN, 2006)

Local Meta-models for Optimization Using Evolution Strategies. - Stefan Kern; Nikolaus Hansen; Petros Koumoutsakos (PPSN, 2006)

Multiresolution Simulations Using Particles. - Michael Bergdorf; Petros Koumoutsakos (VECPAR, 2006)

PPM - A highly efficient parallel particle-mesh library for the simulation of continuum systems. - Ivo F. Sbalzarini; Jens H. Walther; Michael Bergdorf; Simone Elke Hieber; Evangelos M. Kotsalis; Petros Koumoutsakos (J. Comput. Phys., 2006)

A Lagrangian Particle-Wavelet Method. - Michael Bergdorf; Petros Koumoutsakos (Multiscale Model. Simul., 2006)

Large Scale Three-Dimensional Boundary Element Simulation of Subduction. - Gabriele Morra; Philippe Chatelain; Paul J. Tackley; Petros Koumoutsakos (International Conference on Computational Science (3), 2007)

A stochastic boundary forcing for dissipative particle dynamics. - Adrian M. Altenhoff; Jens H. Walther; Petros Koumoutsakos (J. Comput. Phys., 2007)

A Control Algorithm for Multiscale Simulations of Liquid Water. - Evangelos M. Kotsalis; Petros Koumoutsakos (ICCS (2), 2008)

A Hybrid Model of Sprouting Angiogenesis. - Florian Milde; Michael Bergdorf; Petros Koumoutsakos (ICCS (2), 2008)

The secret life of vortices. - Petros Koumoutsakos (SIGGRAPH Computer Animation Festival, 2008)

Flow simulations using particles: bridging computer graphics and CFD. - Petros Koumoutsakos; Georges-Henri Cottet; Diego Rossinelli (SIGGRAPH Classes, 2008)

Vortex Methods for Massively Parallel Computer Architectures. - Philippe Chatelain; Alessandro Curioni; Michael Bergdorf; Diego Rossinelli; Wanda Andreoni; Petros Koumoutsakos (VECPAR, 2008)

Fluids and Supercomputers: The Billion Particle Era. - Petros Koumoutsakos (ERCIM News, 2008)

An immersed boundary-lattice-Boltzmann method for the simulation of the flow past an impulsively started cylinder. - Alexandre Dupuis; Philippe Chatelain; Petros Koumoutsakos (J. Comput. Phys., 2008)

An immersed boundary method for smoothed particle hydrodynamics of self-propelled swimmers. - Simone Elke Hieber; Petros Koumoutsakos (J. Comput. Phys., 2008)

A Lagrangian particle method for the simulation of linear and nonlinear elastic models of soft tissue. - Simone Elke Hieber; Petros Koumoutsakos (J. Comput. Phys., 2008)

Preface. - Petros Koumoutsakos (J. Comput. Phys., 2008)

Vortex methods for incompressible flow simulations on the GPU. - Diego Rossinelli; Petros Koumoutsakos (Vis. Comput., 2008)

Wavelet-Based Adaptive Solvers on Multi-core Architectures for the Simulation of Complex Systems. - Diego Rossinelli; Michael Bergdorf; Babak Hejazialhosseini; Petros Koumoutsakos (Euro-Par, 2009)

Edge detection in microscopy images using curvelets. - Tobias Gebäck; Petros Koumoutsakos (BMC Bioinform., 2009)

theta-SHAKE: An extension to SHAKE for the explicit treatment of angular constraints. - Pedro Gonnet; Jens H. Walther; Petros Koumoutsakos (Comput. Phys. Commun., 2009)

D-leaping: Accelerating stochastic simulation algorithms for reactions with delays. - Basil Bayati; Philippe Chatelain; Petros Koumoutsakos (J. Comput. Phys., 2009)

A Stochastic Model for Microtubule Motors Describes the In Vivo Cytoplasmic Transport of Human Adenovirus. - Mattia Gazzola; Christoph J. Burckhardt; Basil Bayati; Martin Engelke; Urs F. Greber; Petros Koumoutsakos (PLoS Comput. Biol., 2009)

A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion. - Nikolaus Hansen; André S. P. Niederberger; Lino Guzzella; Petros Koumoutsakos (IEEE Trans. Evol. Comput., 2009)

Optimization of Aircraft Wake Alleviation Schemes through an Evolution Strategy. - Philippe Chatelain; Mattia Gazzola; Stefan Kern; Petros Koumoutsakos (VECPAR, 2010)

Non-periodic Molecular Dynamics simulations of coarse grained lipid bilayer in water. - Evangelos M. Kotsalis; Itsuo Hanasaki; Jens H. Walther; Petros Koumoutsakos (Comput. Math. Appl., 2010)

A Fourier-based elliptic solver for vortical flows with periodic and unbounded directions. - Philippe Chatelain; Petros Koumoutsakos (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. - Babak Hejazialhosseini; Diego Rossinelli; Michael Bergdorf; Petros Koumoutsakos (J. Comput. Phys., 2010)

GPU accelerated simulations of bluff body flows using vortex particle methods. - Diego Rossinelli; Michael Bergdorf; Georges-Henri Cottet; Petros Koumoutsakos (J. Comput. Phys., 2010)

Wavelet-adaptive solvers on multi-core architectures for the simulation of complex systems. - Diego Rossinelli; Babak Hejazialhosseini; Michael Bergdorf; Petros Koumoutsakos (Concurr. Comput. Pract. Exp., 2011)

Adaptive mesh refinement for stochastic reaction-diffusion processes. - Basil Bayati; Philippe Chatelain; Petros Koumoutsakos (J. Comput. Phys., 2011)

Simulations of single and multiple swimmers with non-divergence free deforming geometries. - Mattia Gazzola; Philippe Chatelain; Wim M. van Rees; Petros Koumoutsakos (J. Comput. Phys., 2011)

A comparison of vortex and pseudo-spectral methods for the simulation of periodic vortical flows at high Reynolds numbers. - Wim M. van Rees; Anthony Leonard; D. I. Pullin; Petros Koumoutsakos (J. Comput. Phys., 2011)

Multicore/Multi-GPU Accelerated Simulations of Multiphase Compressible Flows Using Wavelet Adapted Grids. - Diego Rossinelli; Babak Hejazialhosseini; Daniele G. Spampinato; Petros Koumoutsakos (SIAM J. Sci. Comput., 2011)

High throughput software for direct numerical simulations of compressible two-phase flows. - Babak Hejazialhosseini; Diego Rossinelli; Christian Conti; Petros Koumoutsakos (SC, 2012)

High Performance CPU Kernels for Multiphase Compressible Flows. - Babak Hejazialhosseini; Christian Conti; Diego Rossinelli; Petros Koumoutsakos (VECPAR, 2012)

GPU and APU computations of Finite Time Lyapunov Exponent fields. - Christian Conti; Diego Rossinelli; Petros Koumoutsakos (J. Comput. Phys., 2012)

Multiscale simulation of water flow past a C540 fullerene. - Jens H. Walther; Matej Praprotnik; Evangelos M. Kotsalis; Petros Koumoutsakos (J. Comput. Phys., 2012)

High performance CPU/GPU multiresolution Poisson solver. - Wim M. van Rees; Diego Rossinelli; Panagiotis E. Hadjidoukas; Petros Koumoutsakos (PARCO, 2013)

11 PFLOP/s simulations of cloud cavitation collapse. - Diego Rossinelli; Babak Hejazialhosseini; Panagiotis E. Hadjidoukas; Costas Bekas; Alessandro Curioni; Adam Bertsch; Scott Futral; Steffen J. Schmidt; Nikolaus A. Adams; Petros Koumoutsakos (SC, 2013)

Towards a living earth simulator - Mario Paolucci; Donald Kossmann; Rosaria Conte; Paul Lukowicz; Panos Argyrakis; Ann Blandford; Giulia Bonelli; Stuart Anderson; Sara de Freitas; Bruce Edmonds; Nigel Gilbert; Markus H. Gross; et al. (CoRR, 2013)

Multiscale stochastic simulations of chemical reactions with regulated scale separation. - Petros Koumoutsakos; Justin Feigelman (J. Comput. Phys., 2013)

Coupling Remeshed Particle and Phase Field Methods for the Simulation of Reaction-Diffusion on the Surface and the Interior of Deforming Geometries. - Gerardo Tauriello; Petros Koumoutsakos (SIAM J. Sci. Comput., 2013)

Reinforcement Learning and Wavelet Adapted Vortex Methods for Simulations of Self-propelled Swimmers. - Mattia Gazzola; Babak Hejazialhosseini; Petros Koumoutsakos (SIAM J. Sci. Comput., 2014)

Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification. - Panagiotis E. Hadjidoukas; Panagiotis Angelikopoulos; Lina Kulakova; Costas Papadimitriou; Petros Koumoutsakos (Euro-Par, 2015)

High throughput simulations of two-phase flows on Blue Gene/Q. - Panagiotis E. Hadjidoukas; Diego Rossinelli; Fabian Wermelinger; Jonas Sukys; Ursula Rasthofer; Christian Conti; Babak Hejazialhosseini; Petros Koumoutsakos (PARCO, 2015)

The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution. - Diego Rossinelli; Yu-Hang Tang; Kirill Lykov; Dmitry Alexeev; Massimo Bernaschi; Panagiotis E. Hadjidoukas; Mauro Bisson; Wayne Joubert; Christian Conti; George E. Karniadakis; Massimiliano Fatica; Igor Pivkin; et al. (SC, 2015)

Π4U: A high performance computing framework for Bayesian uncertainty quantification of complex models. - Panagiotis E. Hadjidoukas; Panagiotis Angelikopoulos; Costas Papadimitriou; Petros Koumoutsakos (J. Comput. Phys., 2015)

Iterative Brinkman penalization for remeshed vortex methods. - Mads Mølholm Hejlesen; Petros Koumoutsakos; Anthony Leonard; Jens Honoré Walther (J. Comput. Phys., 2015)

MRAG-I2D: Multi-resolution adapted grids for remeshed vortex methods on multicore architectures. - Diego Rossinelli; Babak Hejazialhosseini; Wim M. van Rees; Mattia Gazzola; Michael Bergdorf; Petros Koumoutsakos (J. Comput. Phys., 2015)

A comparative study of penalization and phase field methods for the solution of the diffusion equation in complex geometries. - Gerardo Tauriello; Petros Koumoutsakos (J. Comput. Phys., 2015)

Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations. - Lina Kulakova; Panagiotis Angelikopoulos; Panagiotis E. Hadjidoukas; Costas Papadimitriou; Petros Koumoutsakos (PASC, 2016)

An Efficient Compressible Multicomponent Flow Solver for Heterogeneous CPU/GPU Architectures. - Fabian Wermelinger; Babak Hejazialhosseini; Panagiotis E. Hadjidoukas; Diego Rossinelli; Petros Koumoutsakos (PASC, 2016)

Multi-objective optimization of artificial swimmers. - Siddhartha Verma; Panagiotis E. Hadjidoukas; Philipp Wirth; Petros Koumoutsakos (CEC, 2017)

Multiscale Modelling and Simulation, 14th International Workshop. - Derek Groen; Bartosz Bosak; Valeria V. Krzhizhanovskaya; Alfons G. Hoekstra; Petros Koumoutsakos (ICCS, 2017)

The Art of Computational Science, Bridging Gaps - Forming Alloys. Preface for ICCS 2017. - Petros Koumoutsakos; Eleni N. Chatzi; Valeria V. Krzhizhanovskaya; Michael Lees; Jack J. Dongarra; Peter M. A. Sloot (ICCS, 2017)

Large Scale Simulation of Cloud Cavitation Collapse. - Ursula Rasthofer; Fabian Wermelinger; P. Hadijdoukas; Petros Koumoutsakos (ICCS, 2017)

Fast Motion of Heaving Airfoils. - Siddhartha Verma; Guido Novati; Flavio Noca; Petros Koumoutsakos (ICCS, 2017)

Towards the Virtual Rheometer: High Performance Computing for the Red Blood Cell Microstructure. - Athena Economides; Lucas Amoudruz; Sergey Litvinov; Dmitry Alexeev; Sara Nizzero; Panagiotis E. Hadjidoukas; Diego Rossinelli; Petros Koumoutsakos (PASC, 2017)

Pareto Optimal Swimmers. - Siddhartha Verma; Panagiotis E. Hadjidoukas; Philipp Wirth; Diego Rossinelli; Petros Koumoutsakos (PASC, 2017)

Optimal fidelity multi-level Monte Carlo for quantification of uncertainty in simulations of cloud cavitation collapse. - Jonas Sukys; Ursula Rasthofer; Fabian Wermelinger; Panagiotis E. Hadjidoukas; Petros Koumoutsakos (CoRR, 2017)

Fully Context-Aware Video Prediction. - Wonmin Byeon; Qin Wang 013; Rupesh Kumar Srivastava; Petros Koumoutsakos (CoRR, 2017)

ContextVP: Fully Context-Aware Video Prediction. - Wonmin Byeon; Qin Wang 013; Rupesh Kumar Srivastava; Petros Koumoutsakos (CVPR Workshops, 2018)

Efficient collective swimming by harnessing vortices through deep reinforcement learning. - Siddhartha Verma; Guido Novati; Petros Koumoutsakos (CoRR, 2018)

Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks. - Pantelis-Rafail Vlachas; Wonmin Byeon; Zhong Yi Wan; Themistoklis P. Sapsis; Petros Koumoutsakos (CoRR, 2018)

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. - Jana Lipková; Panagiotis Angelikopoulos; Stephen Wu 001; Esther Alberts; Benedikt Wiestler; Christian Diehl; Christine Preibisch; Thomas Pyka; Stephanie Combs; Panagiotis E. Hadjidoukas; Koen Van Leemput; Petros Koumoutsakos; et al. (CoRR, 2018)

Deep-Reinforcement-Learning for Gliding and Perching Bodies. - Guido Novati; Lakshminarayanan Mahadevan; Petros Koumoutsakos (CoRR, 2018)

The art of computational science: Bridging gaps - forming alloys. - Sergey V. Kovalchuk; Valeria V. Krzhizhanovskaya; Petros Koumoutsakos; Eleni N. Chatzi; Michael Harold Lees; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2018)

Petascale simulations of compressible flows with interfaces. - Fabian Wermelinger; Ursula Rasthofer; Panagiotis E. Hadjidoukas; Petros Koumoutsakos (J. Comput. Sci., 2018)

Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics. - Georgios Arampatzis; Daniel Wälchli; Panagiotis Angelikopoulos; Stephen Wu 001; Panagiotis E. Hadjidoukas; Petros Koumoutsakos (SIAM J. Sci. Comput., 2018)

Multilevel Control Variates for Uncertainty Quantification in Simulations of Cloud Cavitation. - Jonas Sukys; Ursula Rasthofer; Fabian Wermelinger; Panagiotis E. Hadjidoukas; Petros Koumoutsakos (SIAM J. Sci. Comput., 2018)

Remember and Forget for Experience Replay. - Guido Novati; Petros Koumoutsakos (ICML, 2019)

(μ, λ)-CCMA-ES for Constrained Optimization with an Application in Pharmacodynamics. - Georgios Arampatzis; Daniel Wälchli; Pascal Weber 002; Henri Rästas; Petros Koumoutsakos (PASC, 2019)

A High Performance Computing Framework for Multiphase, Turbulent Flows on Structured Grids. - Petr Karnakov; Fabian Wermelinger; Michail Chatzimanolakis; Sergey Litvinov; Petros Koumoutsakos (PASC, 2019)

Bending models of lipid bilayer membranes: spontaneous curvature and area-difference elasticity. - Xin Bian; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2019)

Machine Learning for Fluid Mechanics. - Steven L. Brunton; Bernd Noack; Petros Koumoutsakos (CoRR, 2019)

A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows. - Petr Karnakov; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2019)

Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms. - Pantelis-Rafail Vlachas; Jaideep Pathak; Brian R. Hunt; Themistoklis P. Sapsis; Michelle Girvan; Edward Ott; Petros Koumoutsakos (CoRR, 2019)

Automated identification and deep classification of cut marks on bones and its paleoanthropological implications. - Wonmin Byeon; Manuel Domínguez-Rodrigo; Georgios Arampatzis; Enrique Baquedano; José Yravedra; Miguel Ángel Maté-González; Petros Koumoutsakos (J. Comput. Sci., 2019)

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. - Jana Lipková; Panagiotis Angelikopoulos; Stephen Wu 001; Esther Alberts; Benedikt Wiestler; Christian Diehl; Christine Preibisch; Thomas Pyka; Stephanie Combs; Panagiotis E. Hadjidoukas; Koen Van Leemput; Petros Koumoutsakos; et al. (IEEE Trans. Medical Imaging, 2019)

Aphros: High Performance Software for Multiphase Flows with Large Scale Bubble and Drop Clusters. - Petr Karnakov; Fabian Wermelinger; Sergey Litvinov; Petros Koumoutsakos (PASC, 2020)

Load Balancing in Large Scale Bayesian Inference. - Daniel Wälchli; Sergio M. Martin; Athena Economides; Lucas Amoudruz; Georgios Arampatzis; Xin Bian; Petros Koumoutsakos (PASC, 2020)

Automating Turbulence Modeling by Multi-Agent Reinforcement Learning. - Guido Novati; Hugues Lascombes de Laroussilhe; Petros Koumoutsakos (CoRR, 2020)

Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification. - Sergio M. Martin; Daniel Wälchli; Georgios Arampatzis; Petros Koumoutsakos (CoRR, 2020)

Learning the Effective Dynamics of Complex Multiscale Systems. - Pantelis-Rafail Vlachas; Georgios Arampatzis; Caroline Uhler; Petros Koumoutsakos (CoRR, 2020)

Improved Memories Learning. - Francesco Varoli; Guido Novati; Pantelis-Rafail Vlachas; Petros Koumoutsakos (CoRR, 2020)

Mirheo: High-performance mesoscale simulations for microfluidics. - Dmitry Alexeev; Lucas Amoudruz; Sergey Litvinov; Petros Koumoutsakos (Comput. Phys. Commun., 2020)

Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics. - Pantelis-Rafail Vlachas; Jaideep Pathak; Brian R. Hunt; Themistoklis P. Sapsis; Michelle Girvan; Edward Ott; Petros Koumoutsakos (Neural Networks, 2020)

Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics. - Pantelis-Rafail Vlachas; Julija Zavadlav; Matej Praprotnik; Petros Koumoutsakos (CoRR, 2021)

Learning Efficient Navigation in Vortical Flow Fields. - Peter Gunnarson; Ioannis Mandralis; Guido Novati; Petros Koumoutsakos; John O. Dabiri (CoRR, 2021)

Computing foaming flows across scales: from breaking waves to microfluidics. - Petr Karnakov; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2021)

Learning swimming escape patterns under energy constraints. - Ioannis Mandralis; Pascal Weber 002; Guido Novati; Petros Koumoutsakos (CoRR, 2021)

Scientific multi-agent reinforcement learning for wall-models of turbulent flows. - Hyunji Jane Bae; Petros Koumoutsakos (CoRR, 2021)

Robotics in the AI era: A vision for a Hellenic Robotics Initiative. - George J. Pappas; Kostas Daniilidis; Leonidas J. Guibas; Lydia E. Kavraki; Petros Koumoutsakos; Kostas J. Kyriakopoulos; John Lygeros; Michael S. Triantafyllou; Panagiotis Tsiotras (Found. Trends Robotics, 2021)

Automating turbulence modelling by multi-agent reinforcement learning. - Guido Novati; Hugues Lascombes de Laroussilhe; Petros Koumoutsakos (Nat. Mach. Intell., 2021)

Publisher Correction: Automating turbulence modelling by multi-agent reinforcement learning. - Guido Novati; Hugues Lascombes de Laroussilhe; Petros Koumoutsakos (Nat. Mach. Intell., 2021)

Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field. - Lucas Amoudruz; Petros Koumoutsakos (Adv. Intell. Syst., 2022)

Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning. - Pascal Weber 002; Daniel Wälchli; Mustafa Zeqiri; Petros Koumoutsakos (CoRR, 2022)

Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools. - Petr Karnakov; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2022)

Multiscale simulations of complex systems by learning their effective dynamics. - Pantelis-Rafail Vlachas; Georgios Arampatzis; Caroline Uhler; Petros Koumoutsakos (Nat. Mach. Intell., 2022)

Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts. - Pantelis-Rafail Vlachas; Petros Koumoutsakos (CoRR, 2023)

Interpretable reduced-order modeling with time-scale separation. - Sebastian Kaltenbach; Phaedon-Stelios Koutsourelakis; Petros Koumoutsakos (CoRR, 2023)

The stress-free state of human erythrocytes: data driven inference of a transferable RBC model. - Lucas Amoudruz; Athena Economides; Georgios Arampatzis; Petros Koumoutsakos (CoRR, 2023)

Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation. - Petr Karnakov; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2023)

Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems. - Ivica Kicic; Pantelis-Rafail Vlachas; Georgios Arampatzis; Michail Chatzimanolakis; Leonidas J. Guibas; Petros Koumoutsakos (CoRR, 2023)

Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning. - Daniel Wälchli; Pascal Weber 002; Petros Koumoutsakos (CoRR, 2023)

Interpretable learning of effective dynamics for multiscale systems. - Emmanuel Menier; Sebastian Kaltenbach; Mouadh Yagoubi; Marc Schoenauer; Petros Koumoutsakos (CoRR, 2023)

Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence. - Rambod Mojgani; Daniel Wälchli; Yifei Guan; Petros Koumoutsakos; Pedram Hassanzadeh (CoRR, 2023)

Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss. - Michal Balcerak; Ivan Ezhov; Petr Karnakov; Sergey Litvinov; Petros Koumoutsakos; Jonas Weidner; Ray Zirui Zhang; John S. Lowengrub; Benedikt Wiestler; Bjoern H. Menze (CoRR, 2023)

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization. - Michal Balcerak; Tamaz Amiranashvili; Andreas Wagner; Jonas Weidner; Petr Karnakov; Johannes C. Paetzold; Ivan Ezhov; Petros Koumoutsakos; Benedikt Wiestler; Bjoern H. Menze (NeurIPS, 2024)

Closure Discovery for Coarse-Grained Partial Differential Equations using Multi-Agent Reinforcement Learning. - Jan-Philipp von Bassewitz; Sebastian Kaltenbach; Petros Koumoutsakos (CoRR, 2024)

Generative Learning for Forecasting the Dynamics of Complex Systems. - Han Gao; Sebastian Kaltenbach; Petros Koumoutsakos (CoRR, 2024)

Path planning of magnetic microswimmers in high-fidelity simulations of capillaries with deep reinforcement learning. - Lucas Amoudruz; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2024)

Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations. - Han Gao; Sebastian Kaltenbach; Petros Koumoutsakos (CoRR, 2024)

Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems. - Hunter Scott Heidenreich; Pantelis-Rafail Vlachas; Petros Koumoutsakos (CoRR, 2024)

An interpretable wildfire spreading model for real-time predictions. - Konstantinos Vogiatzoglou; Costas Papadimitriou; Konstantinos Ampountolas; Michail Chatzimanolakis; Petros Koumoutsakos; Vasilis Bontozoglou (J. Comput. Sci., 2024)

Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning. - Jan-Philipp von Bassewitz; Sebastian Kaltenbach; Petros Koumoutsakos (CPAL, 2025)

Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows. - Han Gao; Sebastian Kaltenbach; Petros Koumoutsakos (CPAL, 2025)

Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling. - Michal Balcerak; Tamaz Amiranashvili; Suprosanna Shit; Antonio Terpin; Sebastian Kaltenbach; Petros Koumoutsakos; Bjoern H. Menze (CoRR, 2025)

Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning. - Paul Fischer; Sebastian Kaltenbach; Sergey Litvinov; Sauro Succi; Petros Koumoutsakos (CoRR, 2025)

Reinforcement Learning Closures for Underresolved Partial Differential Equations using Synthetic Data. - Lothar Heimbach; Sebastian Kaltenbach; Petr Karnakov; Francis J. Alexander; Petros Koumoutsakos (CoRR, 2025)

Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss. - Petr Karnakov; Lucas Amoudruz; Petros Koumoutsakos (CoRR, 2025)

Contactless Precision Steering of Particles in a Fluid inside a Cube with Rotating Walls. - Lucas Amoudruz; Petr Karnakov; Petros Koumoutsakos (CoRR, 2025)

Controlling Topological Defects in Polar Fluids via Reinforcement Learning. - Abhinav Singh; Petros Koumoutsakos (CoRR, 2025)

Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming. - Vasileios Saketos; Sebastian Kaltenbach; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2025)