Our paper “Efficient collective swimming by harnessing vortices through deep reinforcement learning” was published in Proceedings of the National Academy of Sciences [PDF]
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Our paper “Efficient collective swimming by harnessing vortices through deep reinforcement learning” was published in Proceedings of the National Academy of Sciences [PDF]
Read MoreMonday, May 28, 2018 at 18.15 h, Collegium Helveticum, Schmelzbergstrasse 25 8006 Zürich Trolls, Bots, Social Media and Protests: Race and Democracy in the Age of TechnologyProf. Dr. Leah Wright Rigueur (Harvard Kennedy School of Government, Harvard University) Abstract This conversation will explore some of the ways in which political operatives and protest movements have harnessed technology […]
Read MoreOur paper “Langevin diffusion for population based sampling with an application in bayesian inference for pharmacodynamics” was published in the SIAM Journal on Scientific Computing [PDF]
Read MoreOur paper “Data-assisted reduced-order modeling of extreme events in complex dynamical systems” was published in PLOS One [PDF]
Read MoreOur paper “Data-driven forecasting of high-dimensional chaotic systems with long-short term memory networks” was published in Proceedings of the Royal Society [PDF]
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