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cs.LG2026
Inducing Fourier Geometry: A Smoothness Prior Imposes Approximate Translation Equivariance in Multimodal Stellar Embeddings
Ilay Kamai, Alex M. Bronstein, Hagai B. Perets
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 \em…
cs.LG2026
When to Align, When to Predict: A Phase Diagram for Multimodal Learning
Ilay Kamai, Hugues Van Assel, Aviv Regev +2
Cross-modal alignment (CA) and cross-modal prediction (CP) are the dominant paradigms for multimodal representation learning, yet there is no systematic understanding of when each…