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Home AstroAI Workshop 2025
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AstroAI Workshop 2025

Details Invited Speakers Abstracts Register Schedule Venue Accommodations Code of Conduct

Contributed Talks:

  • Luca Gomez Bachar: Evolution of linear matter perturbations with error-bounded bundle physics-informed neural networks
  • Eddie Berman: Augmenting Spectra Emulation with Deep Evidential Regression for the Purposes of Biomarkers Retrieval
  • Srinadh Reddy Bhavanam: Deep Learning for Compton Image Reconstruction in Gamma-Ray Astrophysics
  • Ingrid Vanessa Daza Perilla: Neural Posterior Estimation for MYTorus Decoupled: Training on Observation-Driven Parameter Grids
  • Jakob Dietl: Uncovering the Giants in the Sky - Semantic Segmentation of Galaxy Clusters in Astrophysical Surveys
  • Paul Gregory: A Novel and Scalable Transformer-based Classifier to Automatically Process Millions of TESS Light Curves
  • Jack Grossman: A Diffusion-Based Machine Learning Model to Infer the Neutrino Effects from Large Scale Structure
  • Aryana Haghjoo: Super-Resolving Low-Resolution Galaxy Spectra with Diffusion Models
  • Ilay Kamai: Key Stellar Parameter Predictions with Multi-Modal Neural Networks: Extending Deep Learning to Spectroscopy and Photometry
  • Ashod Khederlarian: Deep Learning Photometric Redshifts for Roman
  • Ole Koenig: Modeling X-ray photon pile-up with machine learning: A data-driven perspective
  • Sayed Shafaat Mahmud: Inferring Planet and Disk Parameters from Protoplanetary Disk Images Using a Variational Autoencoder
  • Pablo Mercader Perez: Reconstructing Starspot Maps from Transits Using Deep Learning
  • Sebastian Ratzenboeck: Learning with Gaps: A Domain-Adaptive SBI Framework for Mapping Young Stars from Incomplete, Multi-Survey Data
  • Markus Michael Rau: Leveraging Approximate Models for Exact Inference: A Hybrid AI-MCMC Approach
  • Nandini Sahu: Gravitational Lensing and the Need for AI-Accelerated Lens Modeling
  • Sogol Sanjaripour: Unsupervised Learning of Galaxy SED: AGN Identification and contamination correction
  • Ann-Kathrin Schuetz: From LEGEND to Binary Black Hole: A Rare Event Journey Across Physics
  • Helen Shao: Signal-Preserving Diffusion Models for CMB Foreground Reconstruction
  • Dimitrios Tanoglidis: Multimodality and Multimodal Models in Astrophysics
  • Yi Yang: AstroAgent: An Intelligent Assistant for Astronomical Research Based on MCP Protocol
  • Martin Ying: Flowing Through Stellar Model Uncertainties: The Dartmouth Stellar Evolution Emulator

Posters:

  • Srinadh Reddy Bhavanam: MargFormer: Photometric Classification of Stars, Quasars and Compact Galaxies with Cross-Attention Vision Transformer
  • Rocco Di Tella: Building Honest Agents Through Introspection: Probe-driven Generation of Confidence Scores
  • Rosa A Gonzalez: Using AI tools to determine the globular cluster system -- total galaxy stellar mass relation at z=0.4
  • Hossein Hatamnia: AI-Driven Methods for Identifying Cosmic Web Environments
  • Bradley Hutchinson: A Sequential Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys
  • Naysha Jain: Exospore: AI-Driven Detection of Microbial Life for Planetary Protection
  • Rintaro Kanaki: Evaluation and Modeling of Spatial Selection Effects in Photometric Redshifts
  • Fulya Kiroglu: When Stars Collide: Letting Neural Networks Pick Up the Pieces
  • Christina X. Liu: Analyzing the Impacts of Stellar and Planetary Parameters to Exoplanet Habitability through Machine Learning
  • Carolyn M Mill: Investigating Survey Systematics with Bayesian Statistics
  • Lorenzo Monti: CLiMBing the Galactic Ladder: Unveiling Hidden Structures with Semi-supervised Clustering Algorithms
  • Drew Oldag: Hyrax
  • Andrea Persici: Blended Source Detection in Deep Fields: A Max-Tree Approach Informed by Survey and Simulated Data
  • Ashwini Nagaraj Shenoy: Solar Flare Forecasting using Machine learning/Deep learning techniques
  • Adiba Amira Siddiqa: Using Deep Neural Networks to Detect Dark Star Candidates in the Early Universe
  • Jared Sofair: Spectrophotometric Inference of Stellar and Binary Parameters
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