Author

Ilay Kamai

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Review Oct 2026

Inducing Fourier Geometry: A Smoothness Prior Imposes Approximate Translation Equivariance in Multimodal Stellar Embeddings

Learned representations often contain geometric structure induced by symmetries in the underlying data. We ask whether a known continuous parameter space can instead be used to \emph{induce} such structure when the corresponding symmetry is only approximate. We introduce a graph-Laplacian smoothness prior that encourag...

Ilay Kamai, A. M. Bronstein, H. Perets · 0 citations

#machine learning Jun 2026

When to Align, When to Predict: A Phase Diagram for Multimodal Learning

A data-driven procedure is presented to locate real-world datasets in this diagram using a small labeled subsample, identifying the preferred objective and prediction direction before any cross-modal training, and identifying when no objective in the CA/CP family can improve on the stronger modality alone.

Ilay Kamai, Hugues Van Assel, Aviv Regev et al. · arXiv.org · 1 citation