sada-lab.ch

Our paper 🍦 Icecream: High-Fidelity Equivariant Cryo-Electron Tomography has been accepted for publication in Acta Crystallographica Section D, check out the preprint here! 

Prof. Dokmanić has been awarded an ERC Consolidator Grant for the project PhaseShift​ – Phase-Space Foundations for Scientific Machine Learning, congratulations Ivan!

Opening announcements coming very soon!

Prof. Dokmanić has been selected for a Swiss National Science Foundation project grant for Event-based representation and learning of stochastic systems on graphs, congratulations Ivan! 

Cheng's paper Spring-Block Theory of Feature Learning in Deep Neural Networks was featured in reasearch highlight articles on phys.org, myscience.ch and by the University of Basel.  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