1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
A Unified Manifold Similarity Measure Enhancing Few-Shot, Transfer, and Reinforcement Learning in Manifold-Distributed Datasets
Sayed W Qayyumi, Laureance F Park, Oliver Obst
Training a classifier with high mean accuracy from a manifold-distributed dataset can be challenging. This problem is compounded further when there are only few labels available fo…
q-bio.QM2022★ 1 cited
Benefits and limitations of a new hydraulic performance model
Fabian C. Weigend, Edward Gray, Oliver Obst +1
Purpose: Performance models are important tools for coaches and athletes to optimise competition outcomes or training schedules. A recently published hydraulic performance model ha…
cs.RO2014
Simulation leagues: Enabling replicable and robust investigation of complex robotic systems
David M Budden, Peter Wang, Oliver Obst +1
Physically-realistic simulated environments are powerful platforms for enabling measurable, replicable and statistically-robust investigation of complex robotic systems. Such envir…