Cover Image

The Platonic Universe: Do Foundation Models See the Same Sky?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	UniverseTBD, :, Duraphe, Kshitij, Smith, Michael J., Sourav, Shashwat, Wu, John F.
Format:	Preprint
Published:	2025
Subjects:	Instrumentation and Methods for Astrophysics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets
by: Perkowski, Ernest, et al.
Published: (2024)

Re-envisioning Euclid Galaxy Morphology: Identifying and Interpreting Features with Sparse Autoencoders
by: Wu, John F., et al.
Published: (2025)

AstroPT: Scaling Large Observation Models for Astronomy
by: Smith, Michael J., et al.
Published: (2024)

Earth Science Foundation Models: From Perception to Reasoning and Discovery
by: Zhao, Xiangyu, et al.
Published: (2026)

AstroCLIP: A Cross-Modal Foundation Model for Galaxies
by: Parker, Liam, et al.
Published: (2023)

The Clear Sky Corridor: Insights Towards Aerosol Formation in Exoplanets Using An AI-based Survey of Exoplanet Atmospheres
by: Ashtari, Reza, et al.
Published: (2024)

Maven: A Multimodal Foundation Model for Supernova Science
by: Zhang, Gemma, et al.
Published: (2024)

Causal Foundation Models: Disentangling Physics from Instrument Properties
by: Audenaert, Jeroen, et al.
Published: (2025)

AstroLLaVA: towards the unification of astronomical data and natural language
by: Zaman, Sharaf, et al.
Published: (2025)

Textual interpretation of transient image classifications from large language models
by: Stoppa, Fiorenzo, et al.
Published: (2025)

Solaris: A Foundation Model of the Sun
by: Majid, Harris Abdul, et al.
Published: (2024)

Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations
by: Gómez, Pablo, et al.
Published: (2024)

Orbit Determination through Cosmic Microwave Background Radiation
by: de Albuquerque, Pedro K, et al.
Published: (2025)

Machine learning-based classification for Single Photon Space Debris Light Curves
by: Trummer, Nadine M., et al.
Published: (2024)

Removing Radio Frequency Interference from Auroral Kilometric Radiation with Stacked Autoencoders
by: Chang, Allen, et al.
Published: (2022)

Three-dimensional Conditional Diffusion Models for Cosmological 21 cm Lightcone Emulation
by: Xia, Bin, et al.
Published: (2026)

PhysFormer: A Physics-Embedded Generative Model for Physically Self-Consistent Spectral Synthesis
by: Wang, Siqi, et al.
Published: (2026)

Exploring the Early Universe with Deep Learning
by: de Salis, Emmanuel, et al.
Published: (2025)

Classification of compact radio sources in the Galactic plane with supervised machine learning
by: Riggi, S., et al.
Published: (2024)

Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP
by: Chaini, Siddharth, et al.
Published: (2026)

AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model
by: de Haan, Tijmen, et al.
Published: (2025)

Towards a Foundation Model for the Martian Atmosphere
by: Roy, Sujit, et al.
Published: (2026)

SELDON: Supernova Explosions Learned by Deep ODE Networks
by: Wu, Jiezhong, et al.
Published: (2026)

Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions
by: Gilda, Sankalp
Published: (2023)

Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling
by: Yang, Tianyue, et al.
Published: (2026)

$Λ$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum
by: Piras, Davide, et al.
Published: (2025)

Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning
by: Shen, Jeff, et al.
Published: (2025)

Automating Sensor Characterization with Bayesian Optimization
by: Cuevas-Zepeda, J., et al.
Published: (2025)

Building Machine Learning Challenges for Anomaly Detection in Science
by: Campolongo, Elizabeth G., et al.
Published: (2025)

Multi-Modal Masked Autoencoders for Learning Image-Spectrum Associations for Galaxy Evolution and Cosmology
by: Himes, Morgan, et al.
Published: (2025)

Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions
by: Zhu, Ye, et al.
Published: (2025)

Deep ensemble graph neural networks for probabilistic cosmic-ray direction and energy reconstruction in autonomous radio arrays
by: Ferrière, Arsène, et al.
Published: (2026)

Signatures to help interpretability of anomalies
by: Gangler, Emmanuel, et al.
Published: (2025)

Learning novel representations of variable sources from multi-modal $\textit{Gaia}$ data via autoencoders
by: Huijse, P., et al.
Published: (2025)

The Sound of Noise: Leveraging the Inductive Bias of Pre-trained Audio Transformers for Glitch Identification in LIGO
by: Deshmukh, Suyash, et al.
Published: (2026)

AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning
by: Gómez, Pablo, et al.
Published: (2025)

Pulsar Detection with Deep Learning
by: Pendyala, Manideep
Published: (2025)

Combining datasets with different ground truths using Low-Rank Adaptation to generalize image-based CNN models for photometric redshift prediction
by: Seenivasan, Vikram, et al.
Published: (2026)

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches
by: Jacobson-Bell, Ben, et al.
Published: (2024)

Analysis of Fluorescence Telescope Data Using Machine Learning Methods
by: Zotov, Mikhail, et al.
Published: (2025)