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conf.researchr.org / Neil D. Lawrence
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Name:Neil D. Lawrence
Affiliation:Department of Computer Science and Technology, Univesity of Cambridge

Contributions

2026

CAIN

  • Author of Optimising for Energy Efficiency and Performance in Machine Learning within the Research Track-track

LLM4Code

  • Author of Code Roulette: How Prompt Variability Affects LLM Code Generation within the LLM4Code 2026-track

International Conference on Software Engineering for Adaptive and Self-Managing Systems

  • Author of iFogSim-Placement: A Simulation Framework for Edge Service Placement within the Artifact Track-track

2024

SATrends

  • Author of Self-sustaining Software Systems (S4): Towards Improved Interpretability and Adaptation within the SATrends 2024-track

CAIN

  • Author of Can causality accelerate experimentation in software systems? within the Posters-track

2023

CAIN

  • Author of Dataflow graphs as complete causal graphs within the Papers-track

2022

CAIN

  • Author of An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment Context within the CAIN 2022-track
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