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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Hi, I am Cornelius.
About me
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Difference or delay? A comparison of Bayley-III Cognition item scores of young children with and without developmental disabilities
Published in Research in Developmental Disabilities, 2017
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E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
Published in International Conference on Computer Vision (ICCV), 2021
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Explaining Chest X-ray Pathologies in Natural Language
Published in Medical Image Computing and Computer Assisted Interventions, 2022
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Certified Calibration: Bounding Worst-Case Calibration under Adversarial Attacks
Published in New Frontiers in Adversarial Machine Learning - ICML, 2023
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A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
Published in International Conference on Learning Representations (ICLR), 2024
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Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting
Published in Empirical Methods in Natural Language Processing (EMNLP), 2024
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Towards Certification of Uncertainty Calibration under Adversarial Attacks
Published in Arxive (Preprint), 2024
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Benchmarking Predictive Coding Networks – Made Simple
Published in ArXiv, 2024
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Shh, don’t say that! Domain Certification in LLMs
Published in Socially Responsible Language Modelling Research (SoLaR) workshop @ NeurIPS, 2024
Introducing a new safety paradigm for LLMs.
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Applied Machine Learning
Doctoral Seminar, University of Oxford, Big Data Institute, 2022
I tutored a seminar on applied machine learning for doctoral students in Health Data Science. Main responibility was to assist students solving practical classes on machine learning problems. This included classical machine machine learning learning and deep learning - supervised and unsupervised learning. Further, I co-supervised a data challenge for representation learning based on genetic (SNP) sequencing data.
Machine Learning
final year undergraduate course, University of Oxford, Department of Computer Science, 2022