Neurips2026

Our works:

• How does feature learning change the function space evolution?
• Optimal scaling laws in learning hierarchical multi-index models
• Annealing in variational inference mitigates mode collapse: a theoretical study on Gaussian mixtures
• The balance between feature learning and collapse in generative dynamical systems

were accepted for NeurIPS 2026. Come see our posters in Paris!