Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images. - Sandeep Madireddy; Nan Li 022; Nesar Ramachandra; Prasanna Balaprakash; Salman Habib 002 (CoRR, 2019)

Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation. - Romit Maulik; Themistoklis Botsas; Nesar Ramachandra; Lachlan Robert Mason; Indranil Pan (CoRR, 2020)

Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. - Kai Fukami; Romit Maulik; Nesar Ramachandra; Koji Fukagata; Kunihiko Taira (Nat. Mach. Intell., 2021)

Interpretable Uncertainty Quantification in AI for HEP. - Thomas Y. Chen; Biprateep Dey; Aishik Ghosh; Michael Kagan; Brian Nord; Nesar Ramachandra (CoRR, 2022)

Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field. - Lele Luan; Nesar Ramachandra; Sandipp Krishnan Ravi; Anindya Bhaduri; Piyush Pandita; Prasanna Balaprakash; Mihai Anitescu; Changjie Sun; Liping Wang (CoRR, 2023)

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. - Daniela Huppenkothen; Michelle Ntampaka; M. Ho; M. Fouesneau; Brian Nord; Joshua E. G. Peek; Mike Walmsley; John F. Wu; Camille Avestruz; T. Buck; M. Brescia; D. P. Finkbeiner; et al. (CoRR, 2023)

Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data. - Anindya Bhaduri; Nesar Ramachandra; Sandipp Krishnan Ravi; Lele Luan; Piyush Pandita; Prasanna Balaprakash; Mihai Anitescu; Changjie Sun; Liping Wang (J. Comput. Inf. Sci. Eng., 2024)

AstroMLab 1: Who wins astronomy jeopardy!? - Yuan-Sen Ting; Tuan Dung Nguyen; Tirthankar Ghosal; Rui Pan 002; Hardik Arora; Zechang Sun; Tijmen de Haan; Nesar Ramachandra; Azton Wells; Sandeep Madireddy; Alberto Accomazzi (Astron. Comput., 2025)

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. - Franck Cappello; Sandeep Madireddy; Robert Underwood; Neil Getty; Nicholas Lee-Ping Chia; Nesar Ramachandra; Josh Nguyen; Murat Keçeli; Tanwi Mallick; Zilinghan Li; Marieme Ngom; Chenhui Zhang; et al. (CoRR, 2025)

AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model. - Tijmen de Haan; Yuan-Sen Ting; Tirthankar Ghosal; Tuan Dung Nguyen; Alberto Accomazzi; Emily Herron; Vanessa Lama; Rui Pan 002; Azton Wells; Nesar Ramachandra (CoRR, 2025)

Enhancing interpretability in generative modeling: statistically disentangled latent spaces guided by generative factors in scientific datasets. - Arkaprabha Ganguli; Nesar Ramachandra; Julie Bessac; Emil M. Constantinescu (Mach. Learn., 2025)