157 citations · 345 across the 11 of their papers we have counts for
11 papers
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain
Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham +10
Human anatomy, morphology, and associated diseases can be studied using medical imaging data. However, access to medical imaging data is restricted by governance and privacy concer…
Learning swimming escape patterns for larval fish under energy constraints
Ioannis Mandralis, Pascal Weber, Guido Novati +1
Swimming organisms can escape their predators by creating and harnessing unsteady flow fields through their body motions. Stochastic optimization and flow simulations have identifi…
Learning Efficient Navigation in Vortical Flow Fields
Peter Gunnarson, Ioannis Mandralis, Guido Novati +2
Efficient point-to-point navigation in the presence of a background flow field is important for robotic applications such as ocean surveying. In such applications, robots may only…
Improved Memories Learning
Francesco Varoli, Guido Novati, Pantelis R. Vlachas +1
We propose Improved Memories Learning (IMeL), a novel algorithm that turns reinforcement learning (RL) into a supervised learning (SL) problem and delimits the role of neural netwo…
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning
Guido Novati, Hugues Lascombes de Laroussilhe, Petros Koumoutsakos
The modeling of turbulent flows is critical to scientific and engineering problems ranging from aircraft design to weather forecasting and climate prediction. Over the last sixty y…
Optimal sensing for fish school identification
Pascal Weber, Georgios Arampatzis, Guido Novati +3
Fish schooling implies an awareness of the swimmers for their companions. In flow mediated environments, in addition to visual cues, pressure and shear sensors on the fish body are…
Deep-Reinforcement-Learning for Gliding and Perching Bodies
Guido Novati, Lakshminarayanan Mahadevan, Petros Koumoutsakos
Controlled gliding is one of the most energetically efficient modes of transportation for natural and human powered fliers. Here we demonstrate that gliding and landing strategies…
Remember and Forget for Experience Replay
Guido Novati, Petros Koumoutsakos
Experience replay (ER) is a fundamental component of off-policy deep reinforcement learning (RL). ER recalls experiences from past iterations to compute gradient estimates for the…
Efficient collective swimming by harnessing vortices through deep reinforcement learning
Siddhartha Verma, Guido Novati, Petros Koumoutsakos
Fish in schooling formations navigate complex flow-fields replete with mechanical energy in the vortex wakes of their companions. Their schooling behaviour has been associated with…
Computing the force distribution on the surface of complex, deforming geometries using vortex methods and Brinkman penalization
Siddhartha Verma, Gabriele Abbati, Guido Novati +1
The distribution of forces on the surface of complex, deforming geometries is an invaluable output of flow simulations. One particular example of such geometries involves self-prop…
Synchronised Swimming of Two Fish
Guido Novati, Siddhartha Verma, Dmitry Alexeev +3
We study the fluid dynamics of two fish-like bodies with synchronised swimming patterns. Our studies are based on two-dimensional simulations of viscous incompressible flows. We di…