Our group is open to any research collaborations. Students interested in a Master's thesis in our group please send an email to aurelien.lucchi@unibas.ch with short research interests, transcript of records, and CV.

Research projects

Deep Learning

• Neural Collapse in Parameter-Efficient Fine-Tuning of Vision Transformers

• Investigating Weight-Averaging of LoRA Parameters in Large Transformer Networks

Optimization

• Implicit Bias of Modern Optimizers

• Benchmarking Muon-type Algorithms for LLM Training

• Optimization Under Generalized Smoothness 

• Scheduling precision for quantized training 

Quantum

• Benchmarking Optimizers in Variational Quantum Algorithms

• Computational Complexity of Approximated Parameterized Quantum Models

• Spectral Bias in Classical and Quantum Neural Networks