2 papers
physics.ins-det2026
Chopping and distilling variational autoencoders for real-time anomaly detection in high energy physics
Max Cohen, Rajat Gupta, Sterre Hoogendoorn +3
Anomaly detection (AD) has recently emerged as an exciting alternative to conventional search strategies in high energy physics using artificial intelligence (AI) and machine learn…
eess.SP2021
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort
Max Cohen, Sylvain Le Corff, Maurice Charbit +2
In this paper, we propose a new end-to-end methodology to optimize the energy performance as well as comfort and air quality in large buildings without any renovation work. We intr…