Niklas Bühler

Escaping local optima on a random walk through life.

PhD candidate at the Chair for Artificial Intelligence in Medicine, TUM, working on representation learning for medical imaging and multimodal disease risk prediction.

🩻 Large-scale Radiograph Pre-training

Master's thesis on self-supervised MAE pre-training over 600,000+ clinical radiographs, cutting the need for labeled data across downstream medical imaging tasks.

Thesis Poster

🩻 Pilot Study for Large-scale Radiograph Pre-training

Pilot study showing that MAE-based self-supervised learning on 12,000 radiographs substantially improves label efficiency for bodypart classification.

Report

🧬 Functional Gene Embeddings

Extracted functional gene embeddings via PCA, autoencoders, and a variational tensor factorization model, and evaluated them on GWAS trait prediction.

Report Slides

🧠 Connectome Informed Attention

Predicting tau spreading behavior in Alzheimer's patients from brain connectivity maps and tau PET scans.

Presentations 1 2 3 4 5 6 Poster GitHub

🧊 Bayesian Deep Learning – A Stochastic Dynamics Perspective

Overview of Bayesian deep learning through the lens of stochastic dynamics, covering the key methods used to train Bayesian neural networks.

Report Presentation

🧬 Interpretable Mechanistic Models for Predicting Tissue-specific RBP Expression

Predicting tissue-specific expression patterns of RNA-binding proteins with interpretable mechanistic models, mostly corroborated by literature and experimental data.

Sketch Report

🧮 Formalism 101

Notes distilling the core definitions of formal languages and computability theory.

Text

🗣️ Crosslingual, Language-independent Phoneme Alignment

Bachelor's thesis applying cross-lingual, multilingual techniques to phoneme alignment, using hybrid HMM/ANN systems bootstrapped across languages.

Thesis Slides

🤖 Can Computers Think?

An essay on whether machine intelligence can ever equal – or surpass – human thought.

Essay

🔏 Security Review

A condensed review of the key definitions and results from the Security lecture at KIT.

Review

🌐 Graph Theory Review

A condensed review of the key definitions and results from the Graph Theory lecture at KIT.

Review

♾️ Mächtigkeiten, Kardinalzahlen und die Kontinuumshypothese

Summary of set-theoretic definitions and theorems on cardinality, prepared for a blackboard presentation.

Summary Followup

🧫 Computation and Pattern Formation by Swarm Networks with Brownian Motion

A report condensing several papers on swarm networks with Brownian motion dynamics, as introduced by Isokawa and Peper.

Report Slides