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Dr. Priya Raman

Editor-in-Chief

Centre for Responsible Computing

Priya researches evaluation methodology for machine-learning systems and reproducibility in AI research.

ML evaluationReproducibility
Reviewer
Not reviewing

Recently published in their journal

Methods

Calibrated uncertainty estimates for machine-learning surrogates in scientific simulation

Lucas Ferreira

Machine-learning surrogates are increasingly used to accelerate expensive physical simulations, but their predictive uncertainty is frequently miscalibrated. We introduce a conformal ensemble procedure that provides finite-sample coverage guarantees without retraining the base model. Across five benchmark simulation tasks, the method achieves nominal coverage with intervals up to 35% narrower than existing baselines.

Original Research

Energy-efficient event-based vision with neuromorphic recurrent architectures

Daniel Osei, Lucas Ferreira

Event cameras generate sparse, asynchronous data streams well suited to neuromorphic processing. We propose a recurrent spiking architecture that achieves competitive accuracy on gesture and optical-flow benchmarks while consuming an order of magnitude less energy than conventional convolutional baselines on equivalent hardware.