Gestalt: a meta-foundation model for astronomy
astro-ph.IM, cs.LG
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/UniverseTBD/gestalt
Terminology
Sources
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
- Pre-trained Audio Transformer as a Foundational AI Tool for Gravitational Waves
- Rotation-invariant convolutional neural networks for galaxy morphology prediction
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Self-supervised Synthetic Pretraining for Inference of Stellar Mass Embedded in Dense Gas
- Quantifying the Carbon Emissions of Machine Learning
- Improved Baselines with Visual Instruction Tuning
- AstroLLaMA: Towards Specialized Foundation Models in Astronomy
- Learning Transferable Visual Models From Natural Language Supervision
- The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models
- Pix2Prof: fast extraction of sequential information from galaxy imagery via a deep natural language 'captioning' model
- AstroPT: Scaling Large Observation Models for Astronomy
- A Highly Consistent Framework for the Evolution of the Star-Forming "Main Sequence" from z~0-6
- The Platonic Universe: Do Foundation Models See the Same Sky?
- ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
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