5 citations · 13 across the 8 of their papers we have counts for
3 papers · 1 filter
Packed-Ensemble Surrogate Models for Fluid Flow Estimation Arround Airfoil Geometries
Anthony Kalaydjian, Anton Balykov, Alexi Semiz +1
Physical based simulations can be very time and computationally demanding tasks. One way of accelerating these processes is by making use of data-driven surrogate models that learn…
SALAD: Self-Assessment Learning for Action Detection
Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard
Literature on self-assessment in machine learning mainly focuses on the production of well-calibrated algorithms through consensus frameworks i.e. calibration is seen as a problem.…
ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos
Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard
Summarizing video content is an important task in many applications. This task can be defined as the computation of the ordered list of actions present in a video. Such a list coul…