Publications

What AstroPT knows about galaxies, and what that can teach us about LLMs

K. Duraphe, A. Kumar, M. J. Smith, S. Sourav

arXiv:2608.22614

2026 Foundation models

The Platonic Universe: Do Foundation Models See the Same Sky?

T. Borrell, S. Dillmann, K. Duraphe, F. Eris, K. Iyer, A. Khederlarian, A. Kumar, et al.

Mechanistic Interpretability Workshop at ICML 2026 · arXiv:2509.19453

2026 Interpretability

ZTF Monitoring of Gamma-Ray Emitting Narrow Line Seyfert 1 Galaxies

A. Kumar, S. C. Chaudhary, R. Prince, B. van Soelen, I. P. van der Westhuizen

arXiv:2602.22410

2026 Time-domain

Neuro-Parametric Spectral Classification of Black Hole and Neutron Star X-ray Binary Systems

A. Garg, A. Kumar, A. Kembhavi, R. Misra, A. Kembhavi, N. S. Philip, et al.

arXiv:2601.18139

2026 ML for astronomy

Introduction to AI in Astronomy

R. Barnwal, A. Kumar, S. Kala, S. R. Rajendran

The Intelligent Universe: AI's Role in Astronomy, 1–46

2025 Review

Gamma-ray blazar classification using machine learning with advanced weight initialization and self-supervised learning techniques

G. Bhatta, S. Gharat, A. Borthakur, A. Kumar

Monthly Notices of the Royal Astronomical Society 528 (1), 976–986

2024 ML for astronomy

Star Classification: A Deep Learning Approach for Identifying Binary and Exoplanet Stars

A. Kumar, S. Gharat

arXiv:2301.13115

2023 ML for astronomy

Exploring short-term optical variability of blazars using TESS

V. R. Pininti, G. Bhatta, S. Paul, A. Kumar, A. Rajgor, R. Barnwal, S. Gharat

Monthly Notices of the Royal Astronomical Society 518 (1), 1459–1471

2023 Time-domain