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Found 6 papers, 2 papers with code
SANPO: A Scene Understanding, Accessibility, Navigation, Pathfinding, Obstacle Avoidance Dataset
All synthetic sessions and a subset of real sessions have temporally consistent dense panoptic segmentation labels.
Learning to Get Up
Finally, a third stage learns control policies that can reproduce the weaker get-up motions at much slower speeds.
Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope
We leverage epistemic and aleatoric uncertainties in conjunction with probabilistic generative modeling to identify candidate vent adjustments that are in-distribution (ID); for the optimal configuration for each ID sample, we predict the reduction in required observing time to achieve a fixed SNR.
The Safari of Update Structures: Visiting the Lens and Quantum Enclosures
We build upon our recently introduced concept of an update structure to show that it is a generalisation of very-well-behaved lenses, that is, there is a bijection between a strict subset of update structures and vwb lenses in cartesian categories.
Categories of Semantic Concepts
Modelling concept representation is a foundational problem in the study of cognition and linguistics.
Learning to Manipulate Object Collections Using Grounded State Representations
We propose a method for sim-to-real robot learning which exploits simulator state information in a way that scales to many objects.
