ICML Spotlight!

Congratulations to Till and Alex — FLOWERs: A Warp Drive for Neural PDE Solvers was accepted to ICML 2026 and selected as a Spotlight paper! 

ICIP publication

Gaussian Surrogates for Poisson Imaging: Some Theoretical and Empirical Results was accepted to ICIP 2026, well done Alex and Lorenzo!

New Publication

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

ERC Consolidator Grant

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!

SNSF Grant

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 successfully defends his PhD

Cheng has successfully defended his PhD and will join Stéphane Mallat’s team at École Normale Supérieure in Paris as a postdoctoral researcher. Congratulations, Cheng. We wish you all the best!

Press Features

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!

PRL highlights SADA research

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!

SADA at ISCS25

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

Congratulations!

JDR accepted as Oral to ICLR 2025!

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!

Flowers: A Warp Drive for Neural PDE Solvers

Read more

Joint Denoising and Rewiring (JDR)

Read more

Cryolithe

Read more

A Spring-Block Theory of Feature Learning in Deep Neural Networks

Read more