22 citations · 28 across the 3 of their papers we have counts for
4 papers
Improved uncertainty quantification for neural networks with Bayesian last layer
Felix Fiedler, Sergio Lucia
Uncertainty quantification is an important task in machine learning - a task in which standardneural networks (NNs) have traditionally not excelled. This can be a limitation for sa…
Optimization-Based Predictive Congestion Control for the Tor Network: Opportunities and Challenges
Christoph Döpmann, Felix Fiedler, Sergio Lucia +1
Based on the principle of onion routing, the Tor network achieves anonymity for its users by relaying user data over a series of intermediate relays. This approach makes congestion…
On the relationship between data-enabled predictive control and subspace predictive control
Felix Fiedler, Sergio Lucia
Data-enabled predictive control (DeePC) is a recently proposed approach that combines system identification, estimation and control in a single optimization problem, for which only…
PredicTor: Predictive Congestion Control for the Tor Network
Felix Fiedler, Christoph Döpmann, Florian Tschorsch +1
In the Tor network, anonymity is achieved through a multi-layered architecture, which comes at the cost of a complex network. Scheduling data in this network is a challenging task…