83 citations · 343 across the 46 of their papers we have counts for
4 papers · 1 filter
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Giulio Franzese, Simone Rossi, Lixuan Yang +4
Score-based diffusion models are a class of generative models whose dynamics is described by stochastic differential equations that map noise into data. While recent works have sta…
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning
Ugo Lecerf, Christelle Yemdji-Tchassi, Pietro Michiardi
When learning to act in a stochastic, partially observable environment, an intelligent agent should be prepared to anticipate a change in its belief of the environment state, and b…
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios
Ugo Lecerf, Christelle Yemdji-Tchassi, Sébastien Aubert +1
When learning to behave in a stochastic environment where safety is critical, such as driving a vehicle in traffic, it is natural for human drivers to plan fallback strategies as a…
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?
Julien Audibert, Pietro Michiardi, Frédéric Guyard +2
Anomaly detection in time series is a complex task that has been widely studied. In recent years, the ability of unsupervised anomaly detection algorithms has received much attenti…