4.4k citations · 4.7k across the 45 of their papers we have counts for
3 papers · 1 filter
Accelerating the BSM interpretation of LHC data with machine learning
Gianfranco Bertone, Marc Peter Deisenroth, Jong Soo Kim +3
The interpretation of Large Hadron Collider (LHC) data in the framework of Beyond the Standard Model (BSM) theories is hampered by the need to run computationally expensive event g…
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units
Stefanos Eleftheriadis, Ognjen Rudovic, Marc P. Deisenroth +1
We address the task of simultaneous feature fusion and modeling of discrete ordinal outputs. We propose a novel Gaussian process(GP) auto-encoder modeling approach. In particular,…
Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis
Stefanos Eleftheriadis, Ognjen Rudovic, Marc P. Deisenroth +1
We present a novel approach for supervised domain adaptation that is based upon the probabilistic framework of Gaussian processes (GPs). Specifically, we introduce domain-specific…