Search Results for author: Simon Burton

Found 8 papers, 1 papers with code

Safety Analysis of Autonomous Railway Systems: An Introduction to the SACRED Methodology

no code implementations18 Mar 2024 Josh Hunter, John McDermid, Simon Burton

To combat these difficulties we introduce SACRED, a safety methodology for producing an initial safety case and determining important safety metrics for autonomous systems.

Safeguarding Learning-based Control for Smart Energy Systems with Sampling Specifications

no code implementations11 Aug 2023 Chih-Hong Cheng, Venkatesh Prasad Venkataramanan, Pragya Kirti Gupta, Yun-Fei Hsu, Simon Burton

We study challenges using reinforcement learning in controlling energy systems, where apart from performance requirements, one has additional safety requirements such as avoiding blackouts.

reinforcement-learning Safe Reinforcement Learning

Unaligned but Safe -- Formally Compensating Performance Limitations for Imprecise 2D Object Detection

no code implementations10 Feb 2022 Tobias Schuster, Emmanouil Seferis, Simon Burton, Chih-Hong Cheng

We address a special sub-type of performance limitations: the prediction bounding box cannot be perfectly aligned with the ground truth, but the computed Intersection-over-Union metric is always larger than a given threshold.

object-detection Object Detection

Safe AI -- How is this Possible?

no code implementations25 Jan 2022 Harald Rueß, Simon Burton

Ttraditional safety engineering is coming to a turning point moving from deterministic, non-evolving systems operating in well-defined contexts to increasingly autonomous and learning-enabled AI systems which are acting in largely unpredictable operating contexts.

A causal model of safety assurance for machine learning

no code implementations14 Jan 2022 Simon Burton

This paper proposes a framework based on a causal model of safety upon which effective safety assurance cases for ML-based applications can be built.

BIG-bench Machine Learning

Logically Sound Arguments for the Effectiveness of ML Safety Measures

no code implementations4 Nov 2021 Chih-Hong Cheng, Tobias Schuster, Simon Burton

We investigate the issues of achieving sufficient rigor in the arguments for the safety of machine learning functions.

Automated Theorem Proving

Limitations on transversal gates for hypergraph product codes

no code implementations10 Dec 2020 Simon Burton, Dan Browne

We analyze the structure of the logical operators from a class of quantum codes that generalizes the surface codes.

Quantum Physics

Decoding Across the Quantum LDPC Code Landscape

2 code implementations14 May 2020 Joschka Roffe, David R. White, Simon Burton, Earl T. Campbell

To this end, we run numerical simulations of the decoder applied to three families of hypergraph product code: topological codes, fixed-rate random codes and a new class of codes that we call semi-topological codes.

Quantum Physics

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