1 citations · 2 across the 3 of their papers we have counts for
7 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…
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…