61 citations · 297 across the 23 of their papers we have counts for
4 papers · 1 filter
The Exponentially Tilted Gaussian Prior for Variational Autoencoders
Griffin Floto, Stefan Kremer, Mihai Nica
An important property for deep neural networks is the ability to perform robust out-of-distribution detection on previously unseen data. This property is essential for safety purpo…
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review
Xinhai Zhang, Jianbo Tao, Kaige Tan +9
Scenario-based approaches have been receiving a huge amount of attention in research and engineering of automated driving systems. Due to the complexity and uncertainty of the driv…
RSK in last passage percolation: a unified approach
Duncan Dauvergne, Mihai Nica, Bálint Virág
We present a version of the RSK correspondence based on the Pitman transform and geometric considerations. This version unifies ordinary RSK, dual RSK and continuous RSK. We show t…
The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization
Mufan Bill Li, Mihai Nica, Daniel M. Roy
Theoretical results show that neural networks can be approximated by Gaussian processes in the infinite-width limit. However, for fully connected networks, it has been previously s…