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
Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets
arXiv preprint, 2025
AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model
arXiv preprint, 2025
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants
arXiv preprint, 2025
2024
AstroMLab 3: Achieving GPT-4o Level Performance in Astronomy with a Specialized 8B-Parameter Large Language Model
arXiv preprint, 2024
Reducing Model Error Using Optimised Galaxy Selection: Weak Lensing Cluster Mass Estimation
arXiv preprint, 2024
2023
Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field
arXiv preprint, 2023
2022
Neural Network Based Point Spread Function Deconvolution For Astronomical Applications
arXiv preprint, 2022
Carbon-Enhanced Metal-Poor star candidates from BP/RP Spectra in $Gaia$ DR3
arXiv preprint, 2022
2021
Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z
arXiv preprint, 2021
Constraining $f(R)$ Gravity with a $k$-cut Cosmic Shear Analysis of the Hyper Suprime-Cam First-Year Data
arXiv preprint, 2021
Anomaly detection in Hyper Suprime-Cam galaxy images with generative adversarial networks
arXiv preprint, 2021
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
arXiv preprint, 2021
2020
Probabilistic neural network-based reduced-order surrogate for fluid flows
arXiv preprint, 2020
Anomaly Detection in Astronomical Images with Generative Adversarial Networks
arXiv preprint, 2020
Peculiar Velocity Estimation from Kinetic SZ Effect using Deep Neural Networks
arXiv preprint, 2020
Matter Power Spectrum Emulator for f(R) Modified Gravity Cosmologies
arXiv preprint, 2020
Beyond the Hubble Sequence -- Exploring Galaxy Morphology with Unsupervised Machine Learning
arXiv preprint, 2020
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation
arXiv preprint, 2020
Probabilistic neural networks for fluid flow surrogate modeling and data recovery
arXiv preprint, 2020
From the Inner to Outer Milky Way: A Photometric Sample of 2.6 Million Red Clump Stars
arXiv preprint, 2020
2019
A Modular Deep Learning Pipeline for Galaxy-Scale Strong Gravitational Lens Detection and Modeling
arXiv preprint, 2019