3 papers
q-bio.NC2026
Discrete signaling mediates chaotic regularization in recurrent neural networks
Jan Bauer, Christian Keup, Jonathan Kadmon +1
Cortical circuits operate in a regime of intrinsic chaos, where even tiny changes in input can lead to divergent neural responses. Yet, remarkably, population codes in the brain va…
cs.LG2026
Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime
Paolo Baglioni, Christian Keup, Vincenzo Zimbardo +4
The scaling limit where both the size of the training set and the width of a deep neural network grow at the same rate, the so-called proportional-width regime, has been in…
stat.ML2025
Optimal thresholds and algorithms for a model of multi-modal learning in high dimensions
Christian Keup, Lenka Zdeborová
This work explores multi-modal inference in a high-dimensional simplified model, analytically quantifying the performance gain of multi-modal inference over that of analyzing modal…