Dimitrios Tanoglidis

According to our database, Dimitrios Tanoglidis authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

AstroLLaVA: towards the unification of astronomical data and natural language.

Sharaf Zaman, Michael J. Smith, Pranav Khetarpal, Rishabh Chakrabarty, Michele Ginolfi, Marc Huertas-Company, Maja Jablonska, Sandor Kruk, Matthieu Le Lain, Sergio J. Rodríguez Méndez, Dimitrios Tanoglidis

CoRR, April, 2025

A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models.

Atilla Kaan Alkan, Shashwat Sourav, Maja Jablonska, Simone Astarita, Rishabh Chakrabarty, Nikhil Garuda, Pranav Khetarpal, Maciej Pióro, Dimitrios Tanoglidis, Kartheik Iyer, Mugdha Polimera, Michael J. Smith, Tirthankar Ghosal, Marc Huertas-Company, Sandor Kruk, Kevin Schawinski, Ioana Ciuca

CoRR, April, 2025

2024

At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal Models.

Dimitrios Tanoglidis, Bhuvnesh Jain

CoRR, 2024

2023

Transformers for scientific data: a pedagogical review for astronomers.

Dimitrios Tanoglidis, Bhuvnesh Jain, Helen Qu

CoRR, 2023

2022

Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks.

Dimitrios Tanoglidis, Aleksandra Ciprijanovic, Alex Drlica-Wagner

CoRR, 2022

DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images.

Dimitrios Tanoglidis, Aleksandra Ciprijanovic, Alex Drlica-Wagner, Brian Nord, Michael H. L. S. Wang, A. Jacob Amsellem, K. Downey, S. Jenkins, Diana Kafkes, Z. Zhang

Astron. Comput., 2022

2021

DeepShadows: Separating low surface brightness galaxies from artifacts using deep learning.

Dimitrios Tanoglidis, Aleksandra Ciprijanovic, Alex Drlica-Wagner

Astron. Comput., 2021