papers
Publications (3)
q-bio.QM2021
Bayesian Optimisation for a Biologically Inspired Population Neural Network
Mahak Kothari, Swapna Sasi, Jun Chen +2
We have used Bayesian Optimisation (BO) to find hyper-parameters in an existing biologically plausible population neural network. The 8-dimensional optimal hyper-parameter combinat…
cs.LG2021
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field
Mahak Kothari, Shreyansh Joshi, Adarsh Nandanwar +2
Auditory attention is a selective type of hearing in which people focus their attention intentionally on a specific source of a sound or spoken words whilst ignoring or inhibiting…
cs.CV2023
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…