Till Aczel

Publications

Conditional Hallucinations for Image Compression
Till Aczel and Roger Wattenhofer.
Compression Workshop@NeurIPS, Vancouver, Canada, December 2024.
External BibTeX
SUPClust: Active Learning at the Boundaries
Yuta Ono, Till Aczel, Benjamin Estermann and Roger Wattenhofer.
5th Workshop on practical ML for limited/low resource settings (PML4LRS@ICLR), Vienna, Austria, May 2024.
BibTeX
Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training
Paul Doucet, Benjamin Estermann, Till Aczel and Roger Wattenhofer.
5th Workshop on practical ML for limited/low resource settings (PML4LRS@ICLR), Vienna, Austria, May 2024.
BibTeX
Efficient Multimodal Alignment: To Freeze or Not to Freeze?
Till Aczel and Roger Wattenhofer.
Unifying Representations in Neural Models Workshop (UniReps@NeurIPS), New Orleans, USA, December 2023.
BibTeX

	Title	Type	Contact/Supervisor	Assigned
Available Theses & Labs
	Scalar Quantization for Audio Compression	M/S	Till Aczel, Luca Lanzendörfer	available
	The Impact of Training Data on Adversarial Examples	B/S	Andreas Plesner, Till Aczel	available
Current Theses & Labs
	Title	Type	Contact/Supervisor	Assigned	Student(s)
	Recopmression	B	Till Aczel	FS 25
	Automated Foosball Tracking	B	Joël Mathys, Till Aczel	HS 24
	Human-aligned Compression for Robust Models	S	Andreas Plesner, Till Aczel	HS 24
	Optimizing Encoding Speed for Image Compression	M	Till Aczel	HS 24
	View-Specific Video Compression	B	Till Aczel	HS 24
	Wave Function Collapse for Graph Generation	S	Till Aczel, Joël Mathys	HS 24
Past Theses & Labs
	Title	Type	Contact/Supervisor	Assigned	Student(s)
	Jigsaw Puzzle Solver using Machine Learning [confidential]	S	Andreas Plesner, Till Aczel	FS 24
	Exploring Typical and Uncertainty-Driven Active Learning on DINO Embeddings to Enhance Versatility [confidential]	S	Till Aczel, Benjamin Estermann	HS 23
	DataComp Challenge	G	Till Aczel, Benjamin Estermann	HS 23
	SUPClust: Active Learning at the Boundaries	S	Benjamin Estermann, Till Aczel	HS 23