7 papers
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision
Robin Karlsson, David Robert Wong, Simon Thompson +1
Interconnected road lanes are a central concept for navigating urban roads. Currently, most autonomous vehicles rely on preconstructed lane maps as designing an algorithmic model i…
Thermalization in Large-N CFTs
Robin Karlsson, Andrei Parnachev, Petar Tadić
In d-dimensional CFTs with a large number of degrees of freedom an important set of operators consists of the stress tensor and its products, multi stress tensors. Thermalization o…
Stress Tensor Sector of Conformal Correlators
Robin Karlsson, Manuela Kulaxizi, Andrei Parnachev +1
An important part of a CFT four-point function, the stress tensor sector, comprises the exchanges of the stress tensor and its composites. The OPE coefficients of these multi-stres…
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision
Robin Karlsson, Erik Sjoberg
Humans navigate complex environments in an organized yet flexible manner, adapting to the context and implicit social rules. Understanding these naturally learned patterns of behav…
Multi-stress tensors and next-to-leading singularities in the Regge limit
Robin Karlsson
The stress tensor sector of a heavy-heavy-light-light scalar correlator in CFTs with a large central charge and a large gap is defined by the exchange of multi-stress tensor operat…
Leading Multi-Stress Tensors and Conformal Bootstrap
Robin Karlsson, Manuela Kulaxizi, Andrei Parnachev +1
Near lightcone correlators are dominated by operators with the lowest twist. We consider the contributions of such leading lowest twist multi-stress tensor operators to a heavy-hea…