sada-lab.ch

Cheng's paper Spring-Block Theory of Feature Learning in Deep Neural Networks was featured by the University of Basel in a research highlight article. Congratulations!

Congratulations to Cheng on publishing his paper Spring-Block Theory of Feature Learning in Deep Neural Networks in Physical Review Letters, and for the distinction of having it selected as an Editors’ Suggestion!

Vinith and Fabian present their work at ISCS25 in Clervaux, Luxembourg. 

Congratulations!

Our paper Joint Graph Rewiring and Feature Denoising via Spectral Resonance has been accepted to ICLR 2025 and selected for an oral presentation. See you in Singapore in April!

Vinith presented his work Locality enables end-to-end supervised learning for Cryo-ET at BASP 2025 and received the best poster award. Congratulations, Vinith!

Tianlin successfully defended his PhD and will be joining Google DeepMind in Paris, France. Congratulations!

The SADA lab attended the 1st Symposium for "Machine Learning for Theories and Theories of Machine Learning" in Rovinj, Croatia

Congratulations Dr. Khorashadizadeh! The thesis is available here. Amir will be joining PSI in Villigen, Switzerland.

We presented our latest work on simultaneous deformation estimation and three-dimensional volume reconstruction in cryo-ET. This presentation is based on a pre-publication available on Arxiv: https://arxiv.org/abs/2403.02182.

Valentin discussed various aspects of PSF estimation at MIFOBIO 2023.