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09/11/2023
Interpretable learning of effective dynamics for multiscale systems
The modeling and simulation of high-dimensional multiscale systems is a ...
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05/17/2023
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning
The discovery of individual objectives in collective behavior of complex...
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04/04/2023
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems
Predictive simulations are essential for applications ranging from weath...
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03/08/2023
Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation
We present a potent computational method for the solution of inverse pro...
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03/06/2023
The stress-free state of human erythrocytes: data driven inference of a transferable RBC model
The stress-free state (SFS) of red blood cells (RBCs) is a fundamental r...
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03/03/2023
Interpretable reduced-order modeling with time-scale separation
Partial Differential Equations (PDEs) with high dimensionality are commo...
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02/22/2023
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts
Recurrent Neural Networks (RNNs) have become an integral part of modelin...
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05/10/2022
Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools
We introduce the Optimizing a Discrete Loss (ODIL) framework for the num...
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03/24/2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning
We present the extension of the Remember and Forget for Experience Repla...
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06/21/2021
Scientific multi-agent reinforcement learning for wall-models of turbulent flows
The predictive capabilities of turbulent flow simulations, critical for ...
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05/03/2021
Learning swimming escape patterns under energy constraints
Swimming organisms can escape their predators by creating and harnessing...
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03/02/2021
Computing foaming flows across scales: from breaking waves to microfluidics
Crashing ocean waves, cappuccino froths and microfluidic bubble crystals...
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02/21/2021
Learning Efficient Navigation in Vortical Flow Fields
Efficient point-to-point navigation in the presence of a background flow...
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02/17/2021
Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics
Simulations are vital for understanding and predicting the evolution of ...
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08/24/2020
Improved Memories Learning
We propose Improved Memories Learning (IMeL), a novel algorithm that tur...
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06/24/2020
Learning the Effective Dynamics of Complex Multiscale Systems
Simulations of complex multiscale systems are essential for science and ...
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05/27/2020
Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification
We present a modular, open-source, high-performance computing framework ...
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05/18/2020
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning
The modeling of turbulent flows is critical to scientific and engineerin...
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11/12/2019
Mirheo: High-Performance Mesoscale Simulations for Microfluidics
The transport and manipulation of particles and cells in microfluidic de...
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10/22/2019
Optimal sensing for fish school identification
Fish schooling implies an awareness of the swimmers for their companions...
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10/09/2019
Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms
How effective are Recurrent Neural Networks (RNNs) in forecasting the sp...
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05/27/2019
Machine Learning for Fluid Mechanics
The field of fluid mechanics is rapidly advancing, driven by unprecedent...
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05/01/2019
Bending models of lipid bilayer membranes: spontaneous curvature and area-difference elasticity
We preset a computational study of bending models for the curvature elas...
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07/16/2018
Remember and Forget for Experience Replay
Experience replay (ER) is crucial for attaining high data-efficiency in ...
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07/07/2018
Deep-Reinforcement-Learning for Gliding and Perching Bodies
Controlled gliding is one of the most energetically efficient modes of t...
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07/02/2018
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans and Bayesian Inference
Glioblastoma is a highly invasive brain tumor, whose cells infiltrate su...
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07/02/2018
Personalized Radiotherapy Design for Glioblastoma Using Mathematical Models, Multimodal Scans and Bayesian Inference
Glioblastoma is a highly invasive brain tumor, whose cells infiltrate su...
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07/02/2018
Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration
Existing radiotherapy (RT) plans for brain tumors derive from population...
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02/21/2018
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks
We introduce a data-driven forecasting method for high dimensional, chao...
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02/07/2018
Efficient collective swimming by harnessing vortices through deep reinforcement learning
Fish in schooling formations navigate complex flow-fields replete with m...
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10/23/2017
Fully Context-Aware Video Prediction
This paper proposes a new neural network design for unsupervised learnin...
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10/22/2017
Bayesian uncertainty quantification for epidemic spread on networks
While there exist a number of mathematical approaches to modeling the sp...
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05/11/2017
