Petros Koumoutsakos

158 papers A* 2A 8B 4C 3Misc 6Journal 108Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable, cloud-based simulations of blood flow and targeted drug delivery in retinal capillaries. Comput. Phys. Commun. Lucas Amoudruz, Sergey Litvinov, Riccardo Murri, Volker Eyrich, Jens Zudrop, Costas Bekas, Petros Koumoutsakos
2025	J	`jnl`	A Critical Assessment of Pattern Comparisons Between POD and Autoencoders in Intraventricular Flows. CoRR Eneko Lazpita, Andrés Bell-Navas, Jesús Garicano-Mena, Petros Koumoutsakos, Soledad Le Clainche
2025	J	`jnl`	Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss. CoRR Lucas Amoudruz, Sergey Litvinov, Costas Papadimitriou, Petros Koumoutsakos
2025	—	`conf`	Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning. CPAL Jan-Philipp von Bassewitz, Sebastian Kaltenbach, Petros Koumoutsakos
2025	J	`jnl`	Contactless Precision Steering of Particles in a Fluid inside a Cube with Rotating Walls. CoRR Lucas Amoudruz, Petr Karnakov, Petros Koumoutsakos
2025	J	`jnl`	Controlling Topological Defects in Polar Fluids via Reinforcement Learning. CoRR Abhinav Singh, Petros Koumoutsakos
2025	J	`jnl`	Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming. CoRR Vasileios Saketos, Sebastian Kaltenbach, Sergey Litvinov, Petros Koumoutsakos
2025	J	`jnl`	Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling. CoRR Michal Balcerak, Tamaz Amiranashvili, Suprosanna Shit, Antonio Terpin, Sebastian Kaltenbach, Petros Koumoutsakos, Bjoern H. Menze
2025	J	`jnl`	Generative Urban Flow Modeling: From Geometry to Airflow with Graph Diffusion. CoRR Francisco Giral, Álvaro Manzano, Ignacio Gómez, Petros Koumoutsakos, Soledad Le Clainche
2025	—	`conf`	Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows. CPAL Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
2025	J	`jnl`	Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows. CoRR Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
2025	J	`jnl`	Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning. CoRR Paul Fischer, Sebastian Kaltenbach, Sergey Litvinov, Sauro Succi, Petros Koumoutsakos
2025	J	`jnl`	Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss. CoRR Petr Karnakov, Lucas Amoudruz, Petros Koumoutsakos
2025	J	`jnl`	Reinforcement Learning Closures for Underresolved Partial Differential Equations using Synthetic Data. CoRR Lothar Heimbach, Sebastian Kaltenbach, Petr Karnakov, Francis J. Alexander, Petros Koumoutsakos
2025	J	`jnl`	Scalable, Cloud-Based Simulations of Blood Flow and Targeted Drug Delivery in Retinal Capillaries. CoRR Lucas Amoudruz, Sergey Litvinov, Riccardo Murri, Volker Eyrich, Jens Zudrop, Costas Bekas, Petros Koumoutsakos
2025	J	`jnl`	Symmetry aware Reynolds Averaged Navier Stokes turbulence models with equivariant neural networks. CoRR Aaron Miller, Sahil Kommalapati, Robert Moser, Petros Koumoutsakos
2024	J	`jnl`	An interpretable wildfire spreading model for real-time predictions. J. Comput. Sci. Konstantinos Vogiatzoglou, Costas Papadimitriou, Konstantinos Ampountolas, Michail Chatzimanolakis, Petros Koumoutsakos, Vasilis Bontozoglou
2024	J	`jnl`	Closure Discovery for Coarse-Grained Partial Differential Equations using Multi-Agent Reinforcement Learning. CoRR Jan-Philipp von Bassewitz, Sebastian Kaltenbach, Petros Koumoutsakos
2024	J	`jnl`	Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems. CoRR Hunter Scott Heidenreich, Pantelis-Rafail Vlachas, Petros Koumoutsakos
2024	J	`jnl`	Generative Learning for Forecasting the Dynamics of Complex Systems. CoRR Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
2024	J	`jnl`	Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations. CoRR Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
2024	J	`jnl`	Path planning of magnetic microswimmers in high-fidelity simulations of capillaries with deep reinforcement learning. CoRR Lucas Amoudruz, Sergey Litvinov, Petros Koumoutsakos
2024	A*	`conf`	Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization. NeurIPS Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner, Jonas Weidner, Petr Karnakov, Johannes C. Paetzold, Ivan Ezhov, Petros Koumoutsakos, Benedikt Wiestler, Bjoern H. Menze
2024	J	`jnl`	Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization. CoRR Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner, Jonas Weidner, Petr Karnakov, Johannes C. Paetzold, Ivan Ezhov, Petros Koumoutsakos, Benedikt Wiestler, Bjoern H. Menze
2023	J	`jnl`	Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems. CoRR Ivica Kicic, Pantelis-Rafail Vlachas, Georgios Arampatzis, Michail Chatzimanolakis, Leonidas J. Guibas, Petros Koumoutsakos
2023	J	`jnl`	Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning. CoRR Daniel Wälchli, Pascal Weber, Petros Koumoutsakos
2023	J	`jnl`	Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence. CoRR Rambod Mojgani, Daniel Wälchli, Yifei Guan, Petros Koumoutsakos, Pedram Hassanzadeh
2023	J	`jnl`	Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation. CoRR Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos
2023	J	`jnl`	Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss. CoRR Michal Balcerak, Ivan Ezhov, Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos, Jonas Weidner, Ray Zirui Zhang, John S. Lowengrub, Benedikt Wiestler, Bjoern H. Menze
2023	J	`jnl`	Interpretable learning of effective dynamics for multiscale systems. CoRR Emmanuel Menier, Sebastian Kaltenbach, Mouadh Yagoubi, Marc Schoenauer, Petros Koumoutsakos
2023	J	`jnl`	Interpretable reduced-order modeling with time-scale separation. CoRR Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis, Petros Koumoutsakos
2023	J	`jnl`	Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts. CoRR Pantelis-Rafail Vlachas, Petros Koumoutsakos
2023	J	`jnl`	The stress-free state of human erythrocytes: data driven inference of a transferable RBC model. CoRR Lucas Amoudruz, Athena Economides, Georgios Arampatzis, Petros Koumoutsakos
2022	J	`jnl`	Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field. Adv. Intell. Syst. Lucas Amoudruz, Petros Koumoutsakos
2022	J	`jnl`	Multiscale simulations of complex systems by learning their effective dynamics. Nat. Mach. Intell. Pantelis-Rafail Vlachas, Georgios Arampatzis, Caroline Uhler, Petros Koumoutsakos
2022	J	`jnl`	Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools. CoRR Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos
2022	J	`jnl`	Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning. CoRR Pascal Weber, Daniel Wälchli, Mustafa Zeqiri, Petros Koumoutsakos
2021	J	`jnl`	Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics. CoRR Pantelis-Rafail Vlachas, Julija Zavadlav, Matej Praprotnik, Petros Koumoutsakos
2021	J	`jnl`	Automating turbulence modelling by multi-agent reinforcement learning. Nat. Mach. Intell. Guido Novati, Hugues Lascombes de Laroussilhe, Petros Koumoutsakos
2021	J	`jnl`	Computing foaming flows across scales: from breaking waves to microfluidics. CoRR Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos
2021	J	`jnl`	Learning Efficient Navigation in Vortical Flow Fields. CoRR Peter Gunnarson, Ioannis Mandralis, Guido Novati, Petros Koumoutsakos, John O. Dabiri
2021	J	`jnl`	Learning swimming escape patterns under energy constraints. CoRR Ioannis Mandralis, Pascal Weber, Guido Novati, Petros Koumoutsakos
2021	J	`jnl`	Publisher Correction: Automating turbulence modelling by multi-agent reinforcement learning. Nat. Mach. Intell. Guido Novati, Hugues Lascombes de Laroussilhe, Petros Koumoutsakos
2021	J	`jnl`	Publisher Correction: Automating turbulence modelling by multi-agent reinforcement learning. Nat. Mach. Intell. Guido Novati, Hugues Lascombes de Laroussilhe, Petros Koumoutsakos
2021	J	`jnl`	Robotics in the AI era: A vision for a Hellenic Robotics Initiative. Found. Trends Robotics George J. Pappas, Kostas Daniilidis, Leonidas J. Guibas, Lydia E. Kavraki, Petros Koumoutsakos, Kostas J. Kyriakopoulos, John Lygeros, Michael S. Triantafyllou, Panagiotis Tsiotras
2021	J	`jnl`	Scientific multi-agent reinforcement learning for wall-models of turbulent flows. CoRR Hyunji Jane Bae, Petros Koumoutsakos
2020	—	`conf`	Aphros: High Performance Software for Multiphase Flows with Large Scale Bubble and Drop Clusters. PASC Petr Karnakov, Fabian Wermelinger, Sergey Litvinov, Petros Koumoutsakos
2020	J	`jnl`	Automating Turbulence Modeling by Multi-Agent Reinforcement Learning. CoRR Guido Novati, Hugues Lascombes de Laroussilhe, Petros Koumoutsakos
2020	J	`jnl`	Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics. Neural Networks Pantelis-Rafail Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos
2020	J	`jnl`	Improved Memories Learning. CoRR Francesco Varoli, Guido Novati, Pantelis-Rafail Vlachas, Petros Koumoutsakos
2020	J	`jnl`	Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification. CoRR Sergio M. Martin, Daniel Wälchli, Georgios Arampatzis, Petros Koumoutsakos
2020	J	`jnl`	Learning the Effective Dynamics of Complex Multiscale Systems. CoRR Pantelis-Rafail Vlachas, Georgios Arampatzis, Caroline Uhler, Petros Koumoutsakos
2020	—	`conf`	Load Balancing in Large Scale Bayesian Inference. PASC Daniel Wälchli, Sergio M. Martin, Athena Economides, Lucas Amoudruz, Georgios Arampatzis, Xin Bian, Petros Koumoutsakos
2020	J	`jnl`	Mirheo: High-performance mesoscale simulations for microfluidics. Comput. Phys. Commun. Dmitry Alexeev, Lucas Amoudruz, Sergey Litvinov, Petros Koumoutsakos
2019	—	`conf`	(μ, λ)-CCMA-ES for Constrained Optimization with an Application in Pharmacodynamics. PASC Georgios Arampatzis, Daniel Wälchli, Pascal Weber, Henri Rästas, Petros Koumoutsakos
2019	—	`conf`	A High Performance Computing Framework for Multiphase, Turbulent Flows on Structured Grids. PASC Petr Karnakov, Fabian Wermelinger, Michail Chatzimanolakis, Sergey Litvinov, Petros Koumoutsakos
2019	J	`jnl`	A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows. CoRR Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos
2019	J	`jnl`	Automated identification and deep classification of cut marks on bones and its paleoanthropological implications. J. Comput. Sci. Wonmin Byeon, Manuel Domínguez-Rodrigo, Georgios Arampatzis, Enrique Baquedano, José Yravedra, Miguel Ángel Maté-González, Petros Koumoutsakos
2019	J	`jnl`	Bending models of lipid bilayer membranes: spontaneous curvature and area-difference elasticity. CoRR Xin Bian, Sergey Litvinov, Petros Koumoutsakos
2019	J	`jnl`	Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms. CoRR Pantelis-Rafail Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos
2019	J	`jnl`	Machine Learning for Fluid Mechanics. CoRR Steven L. Brunton, Bernd Noack, Petros Koumoutsakos
2019	J	`jnl`	Mirheo: High-Performance Mesoscale Simulations for Microfluidics. CoRR Dmitry Alexeev, Lucas Amoudruz, Sergey Litvinov, Petros Koumoutsakos
2019	J	`jnl`	Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. IEEE Trans. Medical Imaging Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze
2019	A*	`conf`	Remember and Forget for Experience Replay. ICML Guido Novati, Petros Koumoutsakos
2018	—	`conf`	ContextVP: Fully Context-Aware Video Prediction. CVPR Workshops Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
2018	—	`conf`	ContextVP: Fully Context-Aware Video Prediction. ECCV (16) Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
2018	J	`jnl`	Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks. CoRR Pantelis-Rafail Vlachas, Wonmin Byeon, Zhong Yi Wan, Themistoklis P. Sapsis, Petros Koumoutsakos
2018	J	`jnl`	Deep-Reinforcement-Learning for Gliding and Perching Bodies. CoRR Guido Novati, Lakshminarayanan Mahadevan, Petros Koumoutsakos
2018	J	`jnl`	Efficient collective swimming by harnessing vortices through deep reinforcement learning. CoRR Siddhartha Verma, Guido Novati, Petros Koumoutsakos
2018	J	`jnl`	Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics. SIAM J. Sci. Comput. Georgios Arampatzis, Daniel Wälchli, Panagiotis Angelikopoulos, Stephen Wu, Panagiotis E. Hadjidoukas, Petros Koumoutsakos
2018	J	`jnl`	Multilevel Control Variates for Uncertainty Quantification in Simulations of Cloud Cavitation. SIAM J. Sci. Comput. Jonas Sukys, Ursula Rasthofer, Fabian Wermelinger, Panagiotis E. Hadjidoukas, Petros Koumoutsakos
2018	J	`jnl`	Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. CoRR Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze
2018	J	`jnl`	Petascale simulations of compressible flows with interfaces. J. Comput. Sci. Fabian Wermelinger, Ursula Rasthofer, Panagiotis E. Hadjidoukas, Petros Koumoutsakos
2018	J	`jnl`	Remember and Forget for Experience Replay. CoRR Guido Novati, Petros Koumoutsakos
2018	J	`jnl`	The art of computational science: Bridging gaps - forming alloys. J. Comput. Sci. Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Petros Koumoutsakos, Eleni N. Chatzi, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot
2017	Misc	`conf`	Fast Motion of Heaving Airfoils. ICCS Siddhartha Verma, Guido Novati, Flavio Noca, Petros Koumoutsakos
2017	J	`jnl`	Fully Context-Aware Video Prediction. CoRR Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
2017	Misc	`ed.`	International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland ICCS Petros Koumoutsakos, Michael Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
2017	Misc	`conf`	Large Scale Simulation of Cloud Cavitation Collapse. ICCS Ursula Rasthofer, Fabian Wermelinger, P. Hadijdoukas, Petros Koumoutsakos
2017	B	`conf`	Multi-objective optimization of artificial swimmers. CEC Siddhartha Verma, Panagiotis E. Hadjidoukas, Philipp Wirth, Petros Koumoutsakos
2017	Misc	`conf`	Multiscale Modelling and Simulation, 14th International Workshop. ICCS Derek Groen, Bartosz Bosak, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra, Petros Koumoutsakos
2017	J	`jnl`	Optimal fidelity multi-level Monte Carlo for quantification of uncertainty in simulations of cloud cavitation collapse. CoRR Jonas Sukys, Ursula Rasthofer, Fabian Wermelinger, Panagiotis E. Hadjidoukas, Petros Koumoutsakos
2017	—	`conf`	Pareto Optimal Swimmers. PASC Siddhartha Verma, Panagiotis E. Hadjidoukas, Philipp Wirth, Diego Rossinelli, Petros Koumoutsakos
2017	Misc	`conf`	The Art of Computational Science, Bridging Gaps - Forming Alloys. Preface for ICCS 2017. ICCS Petros Koumoutsakos, Eleni N. Chatzi, Valeria V. Krzhizhanovskaya, Michael Lees, Jack J. Dongarra, Peter M. A. Sloot
2017	—	`conf`	Towards the Virtual Rheometer: High Performance Computing for the Red Blood Cell Microstructure. PASC Athena Economides, Lucas Amoudruz, Sergey Litvinov, Dmitry Alexeev, Sara Nizzero, Panagiotis E. Hadjidoukas, Diego Rossinelli, Petros Koumoutsakos
2016	—	`conf`	An Efficient Compressible Multicomponent Flow Solver for Heterogeneous CPU/GPU Architectures. PASC Fabian Wermelinger, Babak Hejazialhosseini, Panagiotis E. Hadjidoukas, Diego Rossinelli, Petros Koumoutsakos
2016	—	`conf`	Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations. PASC Lina Kulakova, Panagiotis Angelikopoulos, Panagiotis E. Hadjidoukas, Costas Papadimitriou, Petros Koumoutsakos
2015	J	`jnl`	A comparative study of penalization and phase field methods for the solution of the diffusion equation in complex geometries. J. Comput. Phys. Gerardo Tauriello, Petros Koumoutsakos
2015	—	`conf`	Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification. Euro-Par Panagiotis E. Hadjidoukas, Panagiotis Angelikopoulos, Lina Kulakova, Costas Papadimitriou, Petros Koumoutsakos
2015	—	`conf`	High throughput simulations of two-phase flows on Blue Gene/Q. PARCO Panagiotis E. Hadjidoukas, Diego Rossinelli, Fabian Wermelinger, Jonas Sukys, Ursula Rasthofer, Christian Conti, Babak Hejazialhosseini, Petros Koumoutsakos
2015	J	`jnl`	Iterative Brinkman penalization for remeshed vortex methods. J. Comput. Phys. Mads Mølholm Hejlesen, Petros Koumoutsakos, Anthony Leonard, Jens Honoré Walther
2015	J	`jnl`	MRAG-I2D: Multi-resolution adapted grids for remeshed vortex methods on multicore architectures. J. Comput. Phys. Diego Rossinelli, Babak Hejazialhosseini, Wim M. van Rees, Mattia Gazzola, Michael Bergdorf, Petros Koumoutsakos
2015	A	`conf`	The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution. SC 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, Petros Koumoutsakos
2015	J	`jnl`	Π4U: A high performance computing framework for Bayesian uncertainty quantification of complex models. J. Comput. Phys. Panagiotis E. Hadjidoukas, Panagiotis Angelikopoulos, Costas Papadimitriou, Petros Koumoutsakos
2014	J	`jnl`	Reinforcement Learning and Wavelet Adapted Vortex Methods for Simulations of Self-propelled Swimmers. SIAM J. Sci. Comput. Mattia Gazzola, Babak Hejazialhosseini, Petros Koumoutsakos
2013	A	`conf`	11 PFLOP/s simulations of cloud cavitation collapse. SC Diego Rossinelli, Babak Hejazialhosseini, Panagiotis E. Hadjidoukas, Costas Bekas, Alessandro Curioni, Adam Bertsch, Scott Futral, Steffen J. Schmidt, Nikolaus A. Adams, Petros Koumoutsakos
2013	J	`jnl`	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. Gerardo Tauriello, Petros Koumoutsakos
2013	—	`conf`	High performance CPU/GPU multiresolution Poisson solver. PARCO Wim M. van Rees, Diego Rossinelli, Panagiotis E. Hadjidoukas, Petros Koumoutsakos
2013	J	`jnl`	Multiscale stochastic simulations of chemical reactions with regulated scale separation. J. Comput. Phys. Petros Koumoutsakos, Justin Feigelman
2013	J	`jnl`	Towards a living earth simulator CoRR 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, Jörn Kohlhammer, Petros Koumoutsakos, Andreas Krause, Björn-Ola Linnér, Philipp Slusallek, Olga Sorkine, Robert W. Sumner, Dirk Helbing
2012	J	`jnl`	GPU and APU computations of Finite Time Lyapunov Exponent fields. J. Comput. Phys. Christian Conti, Diego Rossinelli, Petros Koumoutsakos
2012	—	`conf`	High Performance CPU Kernels for Multiphase Compressible Flows. VECPAR Babak Hejazialhosseini, Christian Conti, Diego Rossinelli, Petros Koumoutsakos
2012	A	`conf`	High throughput software for direct numerical simulations of compressible two-phase flows. SC Babak Hejazialhosseini, Diego Rossinelli, Christian Conti, Petros Koumoutsakos
2012	J	`jnl`	Multiscale simulation of water flow past a C J. Comput. Phys. Jens H. Walther, Matej Praprotnik, Evangelos M. Kotsalis, Petros Koumoutsakos
2011	J	`jnl`	A comparison of vortex and pseudo-spectral methods for the simulation of periodic vortical flows at high Reynolds numbers. J. Comput. Phys. Wim M. van Rees, Anthony Leonard, D. I. Pullin, Petros Koumoutsakos
2011	J	`jnl`	Adaptive mesh refinement for stochastic reaction-diffusion processes. J. Comput. Phys. Basil Bayati, Philippe Chatelain, Petros Koumoutsakos
2011	J	`jnl`	Multicore/Multi-GPU Accelerated Simulations of Multiphase Compressible Flows Using Wavelet Adapted Grids. SIAM J. Sci. Comput. Diego Rossinelli, Babak Hejazialhosseini, Daniele G. Spampinato, Petros Koumoutsakos
2011	J	`jnl`	Simulations of single and multiple swimmers with non-divergence free deforming geometries. J. Comput. Phys. Mattia Gazzola, Philippe Chatelain, Wim M. van Rees, Petros Koumoutsakos
2011	J	`jnl`	Wavelet-adaptive solvers on multi-core architectures for the simulation of complex systems. Concurr. Comput. Pract. Exp. Diego Rossinelli, Babak Hejazialhosseini, Michael Bergdorf, Petros Koumoutsakos
2010	J	`jnl`	A Fourier-based elliptic solver for vortical flows with periodic and unbounded directions. J. Comput. Phys. Philippe Chatelain, Petros Koumoutsakos
2010	J	`jnl`	GPU accelerated simulations of bluff body flows using vortex particle methods. J. Comput. Phys. Diego Rossinelli, Michael Bergdorf, Georges-Henri Cottet, Petros Koumoutsakos
2010	J	`jnl`	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. Babak Hejazialhosseini, Diego Rossinelli, Michael Bergdorf, Petros Koumoutsakos
2010	J	`jnl`	Non-periodic Molecular Dynamics simulations of coarse grained lipid bilayer in water. Comput. Math. Appl. Evangelos M. Kotsalis, Itsuo Hanasaki, Jens H. Walther, Petros Koumoutsakos
2010	—	`conf`	Optimization of Aircraft Wake Alleviation Schemes through an Evolution Strategy. VECPAR Philippe Chatelain, Mattia Gazzola, Stefan Kern, Petros Koumoutsakos
2009	J	`jnl`	A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion. IEEE Trans. Evol. Comput. Nikolaus Hansen, André S. P. Niederberger, Lino Guzzella, Petros Koumoutsakos
2009	J	`jnl`	A Stochastic Model for Microtubule Motors Describes the PLoS Comput. Biol. Mattia Gazzola, Christoph J. Burckhardt, Basil Bayati, Martin Engelke, Urs F. Greber, Petros Koumoutsakos
2009	J	`jnl`	D-leaping: Accelerating stochastic simulation algorithms for reactions with delays. J. Comput. Phys. Basil Bayati, Philippe Chatelain, Petros Koumoutsakos
2009	J	`jnl`	Edge detection in microscopy images using curvelets. BMC Bioinform. Tobias Gebäck, Petros Koumoutsakos
2009	—	`conf`	Wavelet-Based Adaptive Solvers on Multi-core Architectures for the Simulation of Complex Systems. Euro-Par Diego Rossinelli, Michael Bergdorf, Babak Hejazialhosseini, Petros Koumoutsakos
2009	J	`jnl`	theta-SHAKE: An extension to SHAKE for the explicit treatment of angular constraints. Comput. Phys. Commun. Pedro Gonnet, Jens H. Walther, Petros Koumoutsakos
2008	—	`conf`	A Control Algorithm for Multiscale Simulations of Liquid Water. ICCS (2) Evangelos M. Kotsalis, Petros Koumoutsakos
2008	—	`conf`	A Hybrid Model of Sprouting Angiogenesis. ICCS (2) Florian Milde, Michael Bergdorf, Petros Koumoutsakos
2008	J	`jnl`	A Lagrangian particle method for the simulation of linear and nonlinear elastic models of soft tissue. J. Comput. Phys. Simone Elke Hieber, Petros Koumoutsakos
2008	J	`jnl`	An immersed boundary method for smoothed particle hydrodynamics of self-propelled swimmers. J. Comput. Phys. Simone Elke Hieber, Petros Koumoutsakos
2008	J	`jnl`	An immersed boundary-lattice-Boltzmann method for the simulation of the flow past an impulsively started cylinder. J. Comput. Phys. Alexandre Dupuis, Philippe Chatelain, Petros Koumoutsakos
2008	—	`conf`	Flow simulations using particles: bridging computer graphics and CFD. SIGGRAPH Classes Petros Koumoutsakos, Georges-Henri Cottet, Diego Rossinelli
2008	J	`jnl`	Fluids and Supercomputers: The Billion Particle Era. ERCIM News Petros Koumoutsakos
2008	J	`jnl`	Preface. J. Comput. Phys. Petros Koumoutsakos
2008	—	`conf`	The secret life of vortices. SIGGRAPH Computer Animation Festival Petros Koumoutsakos
2008	—	`conf`	Vortex Methods for Massively Parallel Computer Architectures. VECPAR Philippe Chatelain, Alessandro Curioni, Michael Bergdorf, Diego Rossinelli, Wanda Andreoni, Petros Koumoutsakos
2008	J	`jnl`	Vortex methods for incompressible flow simulations on the GPU. Vis. Comput. Diego Rossinelli, Petros Koumoutsakos
2007	J	`jnl`	A stochastic boundary forcing for dissipative particle dynamics. J. Comput. Phys. Adrian M. Altenhoff, Jens H. Walther, Petros Koumoutsakos
2007	Misc	`conf`	Large Scale Three-Dimensional Boundary Element Simulation of Subduction. International Conference on Computational Science (3) Gabriele Morra, Philippe Chatelain, Paul J. Tackley, Petros Koumoutsakos
2006	J	`jnl`	A Lagrangian Particle-Wavelet Method. Multiscale Model. Simul. Michael Bergdorf, Petros Koumoutsakos
2006	—	`conf`	A Software Framework for the Portable Parallelization of Particle-Mesh Simulations. Euro-Par Ivo F. Sbalzarini, Jens H. Walther, B. Polasek, Philippe Chatelain, Michael Bergdorf, Simone Elke Hieber, Evangelos M. Kotsalis, Petros Koumoutsakos
2006	A	`conf`	Local Meta-models for Optimization Using Evolution Strategies. PPSN Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos
2006	—	`conf`	Multiresolution Simulations Using Particles. VECPAR Michael Bergdorf, Petros Koumoutsakos
2006	J	`jnl`	PPM - A highly efficient parallel particle-mesh library for the simulation of continuum systems. J. Comput. Phys. Ivo F. Sbalzarini, Jens H. Walther, Michael Bergdorf, Simone Elke Hieber, Evangelos M. Kotsalis, Petros Koumoutsakos
2006	A	`conf`	When Do Heavy-Tail Distributions Help? PPSN Nikolaus Hansen, Fabian Gemperle, Anne Auger, Petros Koumoutsakos
2005	J	`jnl`	Accelerating evolutionary algorithms with Gaussian process fitness function models. IEEE Trans. Syst. Man Cybern. Part C Dirk Büche, Nicol N. Schraudolph, Petros Koumoutsakos
2005	J	`jnl`	Multilevel Adaptive Particle Methods for Convection-Diffusion Equations. Multiscale Model. Simul. Michael Bergdorf, Georges-Henri Cottet, Petros Koumoutsakos
2005	J	`jnl`	Special Section on Multiscale Modeling in Materials and Life Sciences. Multiscale Model. Simul. Thomas Yizhao Hou, Petros Koumoutsakos
2004	A	`conf`	A Mixed Bayesian Optimization Algorithm with Variance Adaptation. PPSN Jiri Ocenasek, Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos
2004	J	`jnl`	Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review. Nat. Comput. Stefan Kern, Sibylle D. Müller, Nikolaus Hansen, Dirk Büche, Jiri Ocenasek, Petros Koumoutsakos
2004	J	`jnl`	Learning probability distributions in continuous evolutionary algorithms - a comparative review. Nat. Comput. Stefan Kern, Sibylle D. Müller, Nikolaus Hansen, Dirk Büche, Jiri Ocenasek, Petros Koumoutsakos
2004	J	`jnl`	Self-organizing nets for optimization. IEEE Trans. Neural Networks Michele Milano, Petros Koumoutsakos, Jürgen Schmidhuber
2003	J	`jnl`	Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES). Evol. Comput. Nikolaus Hansen, Sibylle D. Müller, Petros Koumoutsakos
2003	C	`conf`	Self-Adaptation for Multi-objective Evolutionary Algorithms. EMO Dirk Büche, Sibylle D. Müller, Petros Koumoutsakos
2002	A	`conf`	Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations. PPSN Sibylle D. Müller, Nikolaus Hansen, Petros Koumoutsakos
2002	J	`jnl`	Optimization based on bacterial chemotaxis. IEEE Trans. Evol. Comput. Sibylle D. Müller, Jarno Marchetto, Stefano Airaghi, Petros Koumoutsakos
2002	A	`conf`	Self-organizing Maps for Pareto Optimization of Airfoils. PPSN Dirk Büche, Gianfranco Guidati, Peter Stoll, Petros Koumoutsakos
2002	B	`conf`	Step size adaptation in evolution strategies using reinforcement learning. IEEE Congress on Evolutionary Computation Sibylle D. Müller, Nicol N. Schraudolph, Petros Koumoutsakos
2001	C	`conf`	Active Learning with Adaptive Grids. ICANN Michele Milano, Jürgen Schmidhuber, Petros Koumoutsakos
2001	B	`conf`	Evolution strategies for the optimization of microdevices. CEC Sibylle D. Müller, Ivo F. Sbalzarini, Jens H. Walther, Petros Koumoutsakos
2001	C	`conf`	Microchannel Optimization Using Multiobjective Evolution Strategies. EMO Ivo F. Sbalzarini, Sibylle D. Müller, Petros Koumoutsakos
2000	—	`conf`	A Clustering Genetic Algorithm for Actuator Optimization in Flow Control. Evolvable Hardware Michele Milano, Petros Koumoutsakos
2000	B	`conf`	Evolving strategies for active flow control. CEC Michele Milano, Petros Koumoutsakos, Xavier Giannakopoulos, Jürgen Schmidhuber
2000	—	`book`	Vortex methods - theory and practice. Georges-Henri Cottet, Petros Koumoutsakos