Publications

Up-to-date publication list and citations can be found on my Google Scholar profile

Disclaimer: This section is automatically updated by Reasoning Language Models. Google Gemini is utilized to periodically go over my recent publications, talks and activities to update the content. While the information is monitored, at times incorrect information may appear.

2025

AstroMLab 1: Who wins astronomy jeopardy!?

Astronomy and Computing, 2025

Nesar Ramachandra

Publications

2025

AstroMLab 1: Who wins astronomy jeopardy!?

Constraining Early Dark Energy Models with Power Spectra Emulators

Data-Efficient Dimensionality Reduction and Surrogate Modeling of High-Dimensional Stress Fields

Deconvolution of Astronomical Images with Deep Neural Networks

GAN-based Event-level Inverse Mapper (GEIM)-An Application on Quantum Chromodynamics Global Analysis

MGemu: An emulator for cosmological models beyond general relativity

Snowmass2021-Letter of Interest Scientific AI Approaches in Computational Cosmology

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants

AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model

2024

Benchmarking AI-evolved cosmological structure formation and expanding dimensions through parallelization frameworks

Diffusion model based emulator for synthetic cosmological structure formation

Efficient mapping between void shapes and stress fields using deep convolutional neural networks with sparse data

Enhancing Interpretability in Generative Modeling: Disentangled Latent Spaces in Scientific Datasets

High-dimensional Surrogate Modeling for Image Data with Nonlinear Dimension Reduction

Learning Relationships Between Disparate Representations of Objects with Transformers and Contrastive Losses

Reducing Model Error Using Optimised Galaxy Selection: Weak Lensing Cluster Mass Estimation

AstroMLab 3: Achieving GPT-4o Level Performance in Astronomy with a Specialized 8B-Parameter Large Language Model

2023

2023 AI Testbed Expeditions Report

Carbon-enhanced metal-poor star candidates from BP/RP spectra in Gaia DR3

Constructing impactful machine learning research for astronomy: Best practices for researchers and reviewers

Scalable Probabilistic Modeling and Machine Learning With Dimensionality Reduction for Expensive High-Dimensional Problems

VizieR Online Data Catalog: CEMP in Gaia DR3 (Lucey+, 2023)

Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field

2022

AI for High Energy Physics: Interpretable Uncertainty Quantification

Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z

Over 2.7 Million Carbon-Enhanced Metal-Poor stars from BP/RP Spectra in $ Gaia $ DR3

Differentiable Predictions for Large Scale Structure with SHAMNet

Interpretable Uncertainty Quantification in AI for HEP

Neural Network Based Point Spread Function Deconvolution For Astronomical Applications

2021

Anomaly detection in Hyper Suprime-Cam galaxy images with generative adversarial networks

Beyond the hubble sequence–exploring galaxy morphology with unsupervised machine learning

Constraining gravity with a -cut cosmic shear analysis of the Hyper Suprime-Cam first-year data

Peculiar Velocity Estimation from Kinetic SZ Effect using Deep Neural Networks

Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning

Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation

Matter power spectrum emulator for modified gravity cosmologies

Weak Lensing: Optimal Separation of Scales

Physical Benchmarking for AI-Generated Cosmic Web

2020

Anomaly detection in astronomical images with generative adversarial networks

From the inner to outer Milky Way: a photometric sample of 2.6 million red clump stars

Probabilistic neural networks for fluid flow surrogate modeling and data recovery

From the Inner to Outer Milky Way: A Pristine Sample of 4.3 Million Red Clump Stars

Probabilistic neural network-based reduced-order surrogate for fluid flows

Probabilistic neural networks for fluid flow model-order reduction and data recovery

The SPTPoL extended cluster survey

Unstructured fluid flow data recovery using machine learning and Voronoi diagrams

VizieR Online Data Catalog: Photometric sample of 2.6 million red clump stars (Lucey+, 2020)

VizieR Online Data Catalog: The SPTpol Extended Cluster Survey (Bleem+, 2020)

Matter Power Spectrum Emulator for f(R) Modified Gravity Cosmologies

A Modular Deep Learning Pipeline for Galaxy-Scale Strong Gravitational Lens Detection and Modeling

2019

Generative networks for emulating synthetic sky images

Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images

The Caustic Design of the Dark Matter Web

2018

Cosmological analysis pipelines through Neural Networks

Topology, Geometry and Morphology of the Dark Matter Web

Tracing the cosmic web

2017

Topology and geometry of the dark matter web

Topology and geometry of the dark matter web: a multistream view

Dark matter haloes: a multistream view

2015

Multi-stream portrait of the cosmic web