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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

Cornelius Emde

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portfolio

Portfolio item number 1

Portfolio item number 2

publications

Difference or delay? A comparison of Bayley-III Cognition item scores of young children with and without developmental disabilities

E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

Explaining Chest X-ray Pathologies in Natural Language

Certified Calibration: Bounding Worst-Case Calibration under Adversarial Attacks

A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks

Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting

Towards Certification of Uncertainty Calibration under Adversarial Attacks

Benchmarking Predictive Coding Networks – Made Simple

Shh, don’t say that! Domain Certification in LLMs

talks

Talk 1 on Relevant Topic in Your Field

Tutorial 1 on Relevant Topic in Your Field

Talk 2 on Relevant Topic in Your Field

Conference Proceeding talk 3 on Relevant Topic in Your Field

teaching

Applied Machine Learning

Machine Learning

Class tutor