Fabian is a DPhil student at the Department of Statistics and a Graduate Teaching and Research Scholar in Computer Science at Oriel College.
He holds an MSc in Computer Science from Imperial College London and a MSc and BSc in Industrial Engineering from Karlsruhe Institute of Technology.
Before his appointment at Oriel, Fabian has been a tutor of computer science and statistics courses at Karlsruhe Institute of Technology and in a robotics course at Imperial College London.
Fabian’s research interest lies in generative modelling, and intersects with probabilistic deep learning, causal inference, Bayesian inference, unsupervised representation learning and its applications in health.
A Unified Framework for U-Net Design and Analysis
Christopher Williams*, Fabian Falck*, George Deligiannidis, Chris Holmes, Arnaud Doucet, and Saifuddin Syed
Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
Fabian Falck*, Christopher Williams*, Dominic Danks, George Deligiannidis, Christopher Yau, Chris Holmes, Arnaud Doucet, Matthew Willetts
Advances in Neural Information Processing Systems 35 (NeurIPS 2022; selected as oral)
Multi-Facet Clustering Variational Autoencoders
Fabian Falck∗, Haoting Zhang∗, Matthew Willetts, George Nicholson, Christopher Yau, Chris Holmes
Advances in Neural Information Processing Systems 34 (NeurIPS 2021).
DE VITO: A Dual-arm, High Degree-of-freedom, Lightweight, Inexpensive,Passive Upper-limb Exoskeleton for Robot Teleoperation
Fabian Falck∗, Kawin Larppichet∗, Petar Kormushev
20th Conference Towards Autonomous Robotic Systems (Best Paper Award)