Koumoutsakos, Petros

1. Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics
   2019/10/09 by Vlachas, Pantelis R., Pathak, Jaideep, Hunt, Brian R. +4 · 11 citations
   #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
2. Multiscale Simulations of Complex Systems by Learning their Effective Dynamics
   2020/06/24 by Pantelis R. Vlachas, Georgios Arampatzis, Vlachas, Pantelis R. +5 · 6 citations
   Computer Science · #Chaotic Dynamics (nlin.CD) #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
3. Remember and Forget for Experience Replay
   2018/07/16 by Guido Novati, Novati, Guido, Petros Koumoutsakos +1 · 5 citations
   Computer Science · Engineering · Decision Sciences · #Reinforcement Learning in Robotics #Smart Grid Energy Management #Advanced Bandit Algorithms Research
4. Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
   2025/04/14 by Michał Balcerak, Michal Balcerak, Tamaz Amiranashvili +14 · 1 voice · 8 citations
   Computer Science · Physics and Astronomy · Mathematics · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Tensor decomposition and applications
5. Bayesian selection for coarse-grained models of liquid water
   2018/10/10 by Zavadlav, Julija, Arampatzis, Georgios, Koumoutsakos, Petros · 2 citations
   #Biological Physics (physics.bio-ph) #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
6. Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations
   2024/07/31 by Han Gao, Gao, Han, Sebastian Kaltenbach +3 · 4 citations
   Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Model Reduction and Neural Networks
7. Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
   2024/09/30 by Michał Balcerak, Tamaz Amiranashvili, Balcerak, Michal +17 · 4 citations
   Computer Science · Medicine · #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications #Advanced MRI Techniques and Applications
8. Individualizing Glioma Radiotherapy Planning by Optimization of Data and Physics-Informed Discrete Loss
   2023/12/08 by Michał Balcerak, Jonas Weidner, Balcerak, Michal +17 · 3 citations
   Mathematics · #Mathematical Biology Tumor Growth
9. Interpretable learning of effective dynamics for multiscale systems
   2023/09/11 by Emmanuel Menier, Menier, Emmanuel, Sebastian Kaltenbach +7 · 2 citations
   Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
10. Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts
    2023/02/22 by Vlachas, Pantelis R., Koumoutsakos, Petros · 1 citation
    #Chaotic Dynamics (nlin.CD) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
11. Drag Reduction in Flows Past 2D and 3D Circular Cylinders Through Deep Reinforcement Learning
    2023/09/05 by Chatzimanolakis, Michail, Weber, Pascal, Koumoutsakos, Petros · 1 citation
    #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
12. Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows
    2025/02/11 by Han Gao, Sebastian Kaltenbach, Gao, Han +3 · 2 citations
    Computer Science · #Neural Networks and Applications #Data Stream Mining Techniques #Time Series Analysis and Forecasting
13. Optimal navigation of magnetic artificial microswimmers in blood capillaries with deep reinforcement learning
    2024/03/29 by Amoudruz, Lucas, Litvinov, Sergey, Koumoutsakos, Petros · 2 citations
    #Biological Physics (physics.bio-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
14. Generative Learning for Forecasting the Dynamics of Complex Systems
    2024/02/27 by Gao, Han, Kaltenbach, Sebastian, Koumoutsakos, Petros · 1 citation
    #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
15. Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss
    2025/10/17 by Lucas Amoudruz, Sergey Litvinov, Amoudruz, Lucas +5 · 2 citations
    Mathematics · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Mathematical Biology Tumor Growth #Methodology (stat.ME) #Numerical methods in inverse problems