- Energy- and score-based models (Joakim Andén)
- Sampling and learning of deep neural networks (Philipp Petersen)
- Invariant theory for machine learning (Dustin Mixon, Soledad Villar)
- Machine learning meets computational imaging (Sara Fridovich-Keil, Mahdi Soltanolkotabi)
- Optimal frames and codes (Dustin Mixon, Matthew Fickus)
- Frames, Riesz bases, and related topics (Jorge Antezana)
- Phase retrieval (Lukas Liehr, Irina Shafkulovska)
- Unlimited Sensing (Ayush Bhandari)