activity
20242026
most citedAccurate and Robust Stellar Rotation Periods catalog for 82771 Kepler stars using deep learning

17 citations · 19 across the 7 of their papers we have counts for

collaborators

8 papers

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…

astro-ph.SR2026

The Maunder Model and Catalog: Stellar Rotation, Bimodal Activity, and Magnetic Braking in Kepler Main-Sequence Stars

Ilay Kamai, Lavi Somers, Hagai B. Perets

We present The Maunder, a machine learning pipeline and resulting catalog of rotation periods for 148,746 main-sequence stars in the Kepler field. To overcome single-catalog system…

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…

astro-ph.IM2026

Talking with the Latents -- how to convert your LLM into an astronomer

Ilay Kamai, Marc-Huertas Company, Mike J. Smith +1

Recent advances in Large Language Models (LLMs) offer unique opportunities for scientific tasks, yet their ability to reason over complex numerical data remains largely unexplored.…

astro-ph.EP2025

Sub-Snowline Formation of Gas-Giant Planets in Binary Systems

Ilay Kamai, Hagai B. Perets, Jakob Stegmann +1

Gas-giant planets are thought to require conditions beyond the water snow line to build solid cores efficiently. In close binary star systems, the companion's gravity additionally…

astro-ph.SR2025

Machine-learning inference of stellar properties using integrated photometric and spectroscopic data

Ilay Kamai, Alex M. Bronstein, Hagai B. Perets

Stellar astrophysics relies on diverse observational modalities-primarily photometric light curves and spectroscopic data from which fundamental stellar properties are inferred. Wh…

astro-ph.SR2025★ 2 cited

Too fast to be single: Tidal evolution and photometric identification of stellar and planetary companions

Ilay Kamai, Hagai B. Perets

Many stars, including those in binary or multiple systems, exhibit modified rotational evolution due to tidal interactions. While magnetic braking slows rotation in single stars, c…

astro-ph.SR2024★ 17 cited

Accurate and Robust Stellar Rotation Periods catalog for 82771 Kepler stars using deep learning

Ilay Kamai, Hagai B. Perets

We propose a new framework to predict stellar properties from light curves. We analyze the light-curve data from the Kepler space mission and develop a novel tool for deriving the…