Nesar Ramachandra

According to our database, Nesar Ramachandra authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, M. Walmsley, John F. Wu, Camille Avestruz, T. 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, E. Zinger

CoRR, 2023

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

2022

Interpretable Uncertainty Quantification in AI for HEP.

Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra

CoRR, 2022

2021

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

2020

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

2019

Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images.

Sandeep Madireddy, Nan Li, Nesar Ramachandra, Prasanna Balaprakash, Salman Habib

CoRR, 2019