Search Results for author: Rhiannon Michelmore

Found 3 papers, 1 papers with code

On Guaranteed Optimal Robust Explanations for NLP Models

1 code implementation8 May 2021 Emanuele La Malfa, Agnieszka Zbrzezny, Rhiannon Michelmore, Nicola Paoletti, Marta Kwiatkowska

We build on abduction-based explanations for ma-chine learning and develop a method for computing local explanations for neural network models in natural language processing (NLP).

Sentiment Analysis

Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control

no code implementations21 Sep 2019 Rhiannon Michelmore, Matthew Wicker, Luca Laurenti, Luca Cardelli, Yarin Gal, Marta Kwiatkowska

Deep neural network controllers for autonomous driving have recently benefited from significant performance improvements, and have begun deployment in the real world.

Autonomous Driving Bayesian Inference +3

Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control

no code implementations16 Nov 2018 Rhiannon Michelmore, Marta Kwiatkowska, Yarin Gal

A rise in popularity of Deep Neural Networks (DNNs), attributed to more powerful GPUs and widely available datasets, has seen them being increasingly used within safety-critical domains.

Autonomous Driving Self-Driving Cars +1

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