2026 Workshop
AstroAI Workshop 2026
Community research archive
Ideas shared by the workshop community
Browse research spanning foundation models, scientific inference, computer vision, generative methods, anomaly detection, and more.
- 20
- Talks
- 26
- Posters
On the stage
Contributed talks
Contributed talk Extracting Spectroscopic Information from Imaging and Photometry using Probabilistic Machine Learning Read abstract Contributed talk Symbolically regressing dark matter halo profiles using weak lensing Read abstract Contributed talk Observational Signatures of Flux Eruption Events in Black Hole Accretion Flows Read abstract Contributed talk From Speech to Spacetime: Repurposing Audio Foundation Models for Gravitational Wave Detection Read abstract Contributed talk Cross-Scale Parameter Inference using Reinforcement Learning within a Centripetal Reference Framework Read abstract Contributed talk Hyrax - A low-code solution for rapid experimentation with machine learning and unsupervised discovery in astronomy. Read abstract Contributed talk Identifying Spacetimes using Neural Networks Read abstract Contributed talk An AI super-resolution field emulator for cosmological hydrodynamics: the Lyman-α forest Read abstract Contributed talk AIDonut : First Real-Time Neural Network Control of Telescope Active Optics the Vera Rubin Observatory Read abstract Contributed talk From Clouds to Stars: Determining Star Formation Efficiency via Stochastic Modeling and Machine Learning Read abstract Contributed talk Scalable multi-modal catalog analysis with LSDB framework and HATS catalog format Read abstract Contributed talk Learning to Jet: A 3-D UNet Enabled Subgrid Model for AGN Jet Feedback in Cosmological Simulations Read abstract Contributed talk Anomaly Detection in ASAS-SN Using Visual Embeddings and Agent-Driven Active Learning Read abstract Contributed talk Continuous Representations of Baryonic Feedback for Robust Inference from Multiple Simulation Suites Read abstract Contributed talk Ingredients of Our Black Hole's Diet: Using Unsupervised Learning to Correlate Different Gas Phases in the Center of the Milky Way Read abstract Contributed talk Disentangling Physics and Measurement Artifacts in Multi-Sensor Astrophysical Data Read abstract Contributed talk Inference of Star Formation and Metallicity Histories from Galaxy Spectra with Score-Based Models Read abstract Contributed talk Self-Supervised Neural Networks for High-Resolution Radio Imaging Read abstract Contributed talk Terminal-Bench-Science: Evaluating AI Agents on Computational Workflows in the Natural Sciences Read abstract Contributed talk Democratizing Astrophysical Research with AI Agents: Lessons from Heliophysics Read abstract
Around the room
Poster presentations
Poster Stress Testing a Simulation-Based Inference Approach to Weak Lensing Galaxy Cluster Mass Inference Read abstract Poster AstroDetector: Comparing CNN and Random Forest Classifiers for Gravitational Lens Detection in Astronomical Imagery Read abstract Poster Super-Resolving Euclid to Find Strong Gravitational Lenses Read abstract Poster Pulsar Passage: Predicting Dynamical and Environmental Impacts on the Solar System Read abstract Poster SCHARF: ML-based Super-Resolution for Bridging the galaxy-IGM connection at the Epoch of Reionization Read abstract Poster Peaks as Probes: Simulation-Based Inference of Dark Matter Clustering from Weak-Lensing Convergence Maps Read abstract Poster Beyond Pattern Matching: Bridging the Sim-to-Real Gap in Transient Flare Verification Using Vision Language Models Read abstract Poster Identifying lopsidedness in spiral galaxies using Deep Convolutional Neural Network Read abstract Poster Towards an Understanding of AGN UV-NIR Spectra Using a Physically Motivated Spectral Decomposition Neural Network Read abstract Poster Learning the Cosmic Web: Inferring Cosmic Web Environments of Galaxies from Surveys Read abstract Poster Time encoding for irregularly sampled light curves Read abstract Poster Evaluating Diffusion Models for Cosmological Simulation Data: Memorization, Generalization, and Scientific Fidelity Read abstract Poster The Platonic Universe: Do Foundation Models See the Same Sky? Read abstract Poster Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing Read abstract Poster Machine learning for exoplanet detection using the radial velocity method Read abstract Poster A Foundation Model Approach to Solar Filament Detection Read abstract Poster A General ML Framework for Diagnosing Physics Tensions in the Multi-Probe Era Read abstract Poster BRAHMa: Bar Recognition And Hatching using MAchine learning Read abstract Poster PLANT: Conditional Generative Models for Fast Gravitational-Wave Population Synthesis Read abstract Poster Neural-network-based forward modeling of accretion disks Read abstract Poster Calibrated Selection Functions for Binary Black Holes via Normalizing Flows Read abstract Poster Fast GRB Localization from Raw Compton Events with Physics-Guided Implicit Neural Representations Read abstract Poster Modelling Hydrodynamics of Self Gravitating Molecular Clouds using Physics Informed Neural Networks Read abstract Poster Predicting exoplanet radius based on host star orbital parameters Read abstract Poster A Multi-modal Learning Framework for JWST Imaging and Low-Resolution Spectra Read abstract Poster Fast and Flexible Unsupervised Characterization of Astronomical Time Series with Multi-Time Attention Read abstract