2025 Workshop
AstroAI Workshop 2025
Community research archive
Ideas shared by the workshop community
Browse research spanning interpretable methods, generative models, scientific inference, time-domain astronomy, foundation models, and more.
- 20
- Talks
- 27
- Posters
On the stage
Contributed talks
Contributed talk From LEGEND to Binary Black Hole: A Rare Event Journey Across Physics Read abstract Contributed talk Super-Resolving Low-Resolution Galaxy Spectra with Diffusion Models Read abstract Contributed talk Deep Learning Photometric Redshifts for Roman Read abstract Contributed talk Multimodality and Multimodal Models in Astrophysics Read abstract Contributed talk Augmenting Spectra Emulation with Deep Evidential Regression for the Purposes of Biomarkers Retrieval Read abstract Contributed talk Key Stellar Parameter Predictions with Multi-Modal Neural Networks: Extending Deep Learning to Spectroscopy and Photometry Read abstract Contributed talk Neural Posterior Estimation for MYTorus Decoupled: Training on Observation-Driven Parameter Grids Read abstract Contributed talk A Diffusion-Based Machine Learning Model to Infer the Neutrino Effects from Large Scale Structure Read abstract Contributed talk Evolution of linear matter perturbations with error-bounded bundle physics-informed neural networks Read abstract Contributed talk Leveraging Approximate Models for Exact Inference: A Hybrid AI-MCMC Approach Read abstract Contributed talk Flowing Through Stellar Model Uncertainties: The Dartmouth Stellar Evolution Emulator Read abstract Contributed talk Gravitational Lensing and the Need for AI-Accelerated Lens Modeling Read abstract Contributed talk Modeling X-ray photon pile-up with machine learning: A data-driven perspective Read abstract Contributed talk Reconstructing Starspot Maps from Transits Using Deep Learning Read abstract Contributed talk A Novel and Scalable Transformer-based Classifier to Automatically Process Millions of TESS Light Curves Read abstract Contributed talk Inferring Planet and Disk Parameters from Protoplanetary Disk Images Using a Variational Autoencoder Read abstract Contributed talk Learning with Gaps: A Domain-Adaptive SBI Framework for Mapping Young Stars from Incomplete, Multi-Survey Data Read abstract Contributed talk Unsupervised Learning of Galaxy SED: AGN Identification and contamination correction Read abstract Contributed talk Deep Learning for Compton Image Reconstruction in Gamma-Ray Astrophysics Read abstract Contributed talk AstroAgent: An Intelligent Assistant for Astronomical Research Based on MCP Protocol Read abstract
Around the room
Poster presentations
Poster Degeneracy-Aware Pulsar Parameter Estimation from Light Curves via Deep Learning and Test-Time Optimization Read abstract Poster Using Deep Neural Networks to Detect Dark Star Candidates in the Early Universe Read abstract Poster Machine learning-based emulator for large-volume semi-analytical galaxy formation models Read abstract Poster Blended Source Detection in Deep Fields: A Max-Tree Approach Informed by Survey and Simulated Data Read abstract Poster Diffusing Galaxies onto Dark Matter Fields over Multiple Cosmologies and Astrophysics Read abstract Poster Solar Flare Forecasting using Machine learning/Deep learning techniques Read abstract Poster Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks Read abstract Poster A Sequential Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys Read abstract Poster Investigating Survey Systematics with Bayesian Statistics Read abstract Poster Analyzing the Impacts of Stellar and Planetary Parameters to Exoplanet Habitability through Machine Learning Read abstract Poster Morphological Classification of Jets in Active Galactic Nuclei Read abstract Poster Hyrax Read abstract Poster Expediting Black Hole X-Ray Spectroscopy: Variational Auto-Encoders with Normalizing Flows Read abstract Poster When Stars Collide: Letting Neural Networks Pick Up the Pieces Read abstract Poster AI-Driven Methods for Identifying Cosmic Web Environments Read abstract Poster Spectrophotometric Inference of Stellar and Binary Parameters Read abstract Poster LensNet: Enhancing Real-time Microlensing Event Discovery with Recurrent Neural Networks in the Korea Microlensing Telescope Network Read abstract Poster Evaluating Large Language Models in Astronomy Research Read abstract Poster Machine Learning for Faraday Cup Calibration and Optimization of Ion Parameter Estimation Read abstract Poster CLiMBing the Galactic Ladder: Unveiling Hidden Structures with Semi-supervised Clustering Algorithms Read abstract Poster Exospore: AI-Driven Detection of Microbial Life for Planetary Protection Read abstract Poster Learning compact representations from Chandra X-ray spectra Read abstract Poster Evaluation and Modeling of Spatial Selection Effects in Photometric Redshifts Read abstract Poster Building Honest Agents Through Introspection: Probe-driven Generation of Confidence Scores Read abstract Poster Using AI tools to determine the globular cluster system -- total galaxy stellar mass relation at z=0.4 Read abstract Poster MargFormer: Photometric Classification of Stars, Quasars and Compact Galaxies with Cross-Attention Vision Transformer Read abstract Poster Representation Learning for X-ray Transients Read abstract