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20002025
most citedMachine Learning for Fluid Mechanics

2.9k citations

Showing 2017Show all

14 papers · 1 filter

physics.flu-dyn2017★ 21 cited

Metric for attractor overlap

Rishabh Ishar, Eurika Kaiser, Marek Morzynski +6

We present the first general metric for attractor overlap (MAO) facilitating an unsupervised comparison of flow data sets. The starting point is two or more attractors, i.e., ensem…

cs.CL2017★ 64 cited

Evaluating Discourse Phenomena in Neural Machine Translation

Rachel Bawden, Rico Sennrich, Alexandra Birch +1

For machine translation to tackle discourse phenomena, models must have access to extra-sentential linguistic context. There has been recent interest in modelling context in neural…

physics.plasm-ph2017★ 7 cited

Effects of turbulence, resistivity and boundary conditions on helicoidal flow collimation: consequences for the Von-Kármán-Sodium dynamo experiment

J. Varela, S. Brun, B. Dubrulle +1

We present hydrodynamic and magneto-hydrodynamic simulations of a liquid sodium flow using the compressible MHD code PLUTO to investigate the magnetic field regeneration in the Von…

cs.CY2017★ 31 cited

10 simple rules to create a serious game, illustrated with examples from structural biology

Marc Baaden, Olivier Delalande, Nicolas Ferey +3

Serious scientific games are games whose purpose is not only fun. In the field of science, the serious goals include crucial activities for scientists: outreach, teaching and resea…

cs.LG2017★ 27 cited

Stochastic Bandit Models for Delayed Conversions

Claire Vernade, Olivier Cappé, Vianney Perchet

Online advertising and product recommendation are important domains of applications for multi-armed bandit methods. In these fields, the reward that is immediately available is mos…

physics.flu-dyn2017★ 236 cited

Sparse reduced-order modeling : Sensor-based dynamics to full-state estimation

Jean-Christophe Loiseau, Bernd R. Noack, Steven L. Brunton

We propose a general dynamic reduced-order modeling framework for typical experimental data: time-resolved sensor data and optional non-time-resolved PIV snapshots. This framework…