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ORCIDNesar Ramachandra
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2020 – today
- 2026
[i15]Yigitcan Comlek, R. Murali Krishnan, Sandipp Krishnan Ravi, Amin Moghaddas, Rafael Giorjao, Michael Eff, Anirban Samaddar, Nesar Ramachandra, Sandeep Madireddy, Liping Wang:
Multi-task Modeling for Engineering Applications with Sparse Data. CoRR abs/2601.05910 (2026)- [i14]LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz, Matthew R. Becker
, Biswajit Biswas, Rahul Biswas, Boris Bolliet, Adam S. Bolton, Clecio R. Bom, Raphaël Bonnet-Guerrini, Alexandre Boucaud, Jean-Eric Campagne, Chihway Chang, Aleksandra Ciprijanovic, Johann Cohen-Tanugi, Michael W. Coughlin, John Franklin Crenshaw, Juan C. Cuevas-Tello, Juan de Vicente, Seth W. Digel, Steven Dillmann, Mariano Javier de León Dominguez Romero, Alex Drlica-Wagner, Sydney Erickson, Alexander T. Gagliano, Christos Georgiou, Aritra Ghosh, Matthew Grayling, Kirill A. Grishin, Alan Heavens, Lindsay R. House, Mustapha Ishak, Wassim Kabalan, Arun Kannawadi, François Lanusse, C. Danielle Leonard, Pierre-François Léget, Michelle Lochner, Yao-Yuan Mao, Peter Melchior, Grant Merz, Martin Millon, Anais Möller, Gautham Narayan, Yuuki Omori, Hiranya Peiris, Laurence Perreault Levasseur, Andrés Alejandro Plazas Malagón, Nesar Ramachandra, Benjamin Remy, Cécile Roucelle, Jaime Ruiz-Zapatero, Stefan Schuldt, Ignacio Sevilla-Noarbe, Ved G. Shah, Tjitske Starkenburg, Stephen Thorp, Laura Toribio San Cipriano, Tilman Tröster, Roberto Trotta, Padma Venkatraman, Amanda Wasserman, Tim White, Justine Zeghal, Tianqing Zhang, Yuanyuan Zhang:
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration. CoRR abs/2601.14235 (2026) - [i13]Jinchu Li, Yuan-Sen Ting, Alberto Accomazzi, Tirthankar Ghosal, Nesar Ramachandra:
Predicting New Concept-Object Associations in Astronomy by Mining the Literature. CoRR abs/2602.14335 (2026) - [i12]Arkaprabha Ganguli, Anirban Samaddar, Florian Kéruzoré, Nesar Ramachandra, Julie Bessac, Sandeep Madireddy, Emil M. Constantinescu:
Uncovering Physical Drivers of Dark Matter Halo Structures with Auxiliary-Variable-Guided Generative Models. CoRR abs/2602.23518 (2026) - 2025
- [j4]Yuan-Sen Ting, Tuan Dung Nguyen, Tirthankar Ghosal, Rui Pan, Hardik Arora, Zechang Sun, Tijmen de Haan, Nesar Ramachandra, Azton Wells, Sandeep Madireddy, Alberto Accomazzi:
AstroMLab 1: Who wins astronomy jeopardy!? Astron. Comput. 51: 100893 (2025) - [j3]Arkaprabha Ganguli, Nesar Ramachandra, Julie Bessac, Emil M. Constantinescu:
Enhancing interpretability in generative modeling: statistically disentangled latent spaces guided by generative factors in scientific datasets. Mach. Learn. 114(9): 197 (2025) - [c2]Tareq Alghamdi, Jitao Xu, Nesar Ramachandra, Nobuo Sato, Yaohang Li:
Towards an Event-Level Analysis in Hadronic Physics Using Generative AI-Based Surrogates. ICTAI 2025: 445-452 - [c1]Justin Z. Tam, Pascal Grosset, Divya Banesh, Nesar Ramachandra, Terece L. Turton, James P. Ahrens:
InferA: A Smart Assistant for Cosmological Ensemble Data. SC Workshops 2025: 20-28 - [i11]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, Angel Yanguas-Gil, Evan R. Antoniuk, Bhavya Kailkhura, Minyang Tian, Yufeng Du, Yuan-Sen Ting, Azton Wells, Bogdan Nicolae, Avinash Maurya, M. Mustafa Rafique, Eliu A. Huerta, Bo Li, Ian T. Foster, Rick Stevens:
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. CoRR abs/2502.20309 (2025) - [i10]Tijmen de Haan, Yuan-Sen Ting, Tirthankar Ghosal, Tuan Dung Nguyen, Alberto Accomazzi, Emily Herron, Vanessa Lama, Rui Pan, Azton Wells, Nesar Ramachandra:
AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model. CoRR abs/2505.17592 (2025) - [i9]Arkaprabha Ganguli, Nesar Ramachandra, Julie Bessac, Emil M. Constantinescu:
Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets. CoRR abs/2507.00298 (2025) - [i8]Justin Z. Tam, Pascal Grosset, Divya Banesh, Nesar Ramachandra, Terece L. Turton, James P. Ahrens:
InferA: A Smart Assistant for Cosmological Ensemble Data. CoRR abs/2510.12920 (2025) - 2024
- [j2]Anindya Bhaduri, Nesar Ramachandra, Sandipp Krishnan Ravi, Lele Luan, Piyush Pandita, Prasanna Balaprakash, Mihai Anitescu, Changjie Sun, Liping Wang:
Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data. J. Comput. Inf. Sci. Eng. 24(4) (2024) - [i7]Yuan-Sen Ting, Tuan Dung Nguyen, Tirthankar Ghosal, Rui Pan, Hardik Arora, Zechang Sun, Tijmen de Haan, Nesar Ramachandra, Azton Wells, Sandeep Madireddy, Alberto Accomazzi:
AstroMLab 1: Who Wins Astronomy Jeopardy!? CoRR abs/2407.11194 (2024) - 2023
- [i6]Lele Luan, Nesar Ramachandra, Sandipp Krishnan Ravi, Anindya Bhaduri, Piyush Pandita, Prasanna Balaprakash, Mihai Anitescu, Changjie Sun, Liping Wang:
Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field. CoRR abs/2303.16869 (2023) - [i5]Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord, Joshua E. G. Peek, Mike Walmsley, John F. Wu, Camille Avestruz, Tobias Buck, M. Brescia, D. P. Finkbeiner, Andy D. Goulding, Tomasz Kacprzak, Peter Melchior, M. Pasquato, Nesar Ramachandra, Yuan-Sen Ting, G. van de Ven, S. Villar, V. A. Villar, Elad Zinger:
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. CoRR abs/2310.12528 (2023) - 2022
- [i4]Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra:
Interpretable Uncertainty Quantification in AI for HEP. CoRR abs/2208.03284 (2022) - 2021
- [j1]Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira:
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. Nat. Mach. Intell. 3(11): 945-951 (2021) - [i3]Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira:
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. CoRR abs/2101.00554 (2021) - 2020
- [i2]Romit Maulik, Themistoklis Botsas, Nesar Ramachandra, Lachlan Robert Mason, Indranil Pan:
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation. CoRR abs/2007.12167 (2020)
2010 – 2019
- 2019
- [i1]Sandeep Madireddy, Nan Li, Nesar Ramachandra, Prasanna Balaprakash, Salman Habib:
Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images. CoRR abs/1911.03867 (2019)
Coauthor Index
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