Saved in:
| Main Authors: | Wang, Siqi, Zhang, Mengmeng, Bu, Yude, Mou, Chaozhou |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.01459 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SPT: Spectral Transformer for Red Giant Stars Age and Mass Estimation
by: Zhang, Mengmeng, et al.
Published: (2024)
by: Zhang, Mengmeng, et al.
Published: (2024)
A Generalist Model Including Evolved Star Mass and Age
by: Zhang, Mengmeng, et al.
Published: (2026)
by: Zhang, Mengmeng, et al.
Published: (2026)
Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling
by: Yang, Tianyue, et al.
Published: (2026)
by: Yang, Tianyue, et al.
Published: (2026)
Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning
by: Shen, Jeff, et al.
Published: (2025)
by: Shen, Jeff, et al.
Published: (2025)
ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings
by: Tan, Antony, et al.
Published: (2025)
by: Tan, Antony, et al.
Published: (2025)
Rediscovering the Lunar Equation of the Centre with AI Feynman via Embedded Physical Biases
by: Shah, Saumya, et al.
Published: (2025)
by: Shah, Saumya, et al.
Published: (2025)
Self-supervised Synthetic Pretraining for Inference of Stellar Mass Embedded in Dense Gas
by: Hirashima, Keiya, et al.
Published: (2025)
by: Hirashima, Keiya, et al.
Published: (2025)
An adaptive parameter estimator for poor-quality spectral data of white dwarfs
by: Xie, Duo, et al.
Published: (2024)
by: Xie, Duo, et al.
Published: (2024)
Template-Fitting Meets Deep Learning: Redshift Estimation Using Physics-Guided Neural Networks
by: Ferrao, Jonas Chris, et al.
Published: (2025)
by: Ferrao, Jonas Chris, et al.
Published: (2025)
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF
by: Ji, Anli, et al.
Published: (2024)
by: Ji, Anli, et al.
Published: (2024)
aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis
by: Ha, Trung, et al.
Published: (2025)
by: Ha, Trung, et al.
Published: (2025)
Quantifying the Reconstructability of Astrophysical Methods with Large Language Models and Information Theory: A Case Study in Spectral Reconstruction
by: Lin, Hsing Wen, et al.
Published: (2026)
by: Lin, Hsing Wen, et al.
Published: (2026)
Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative Model
by: Li, Jialiang, et al.
Published: (2025)
by: Li, Jialiang, et al.
Published: (2025)
Generative imaging for radio interferometry with fast uncertainty quantification
by: Mars, Matthijs, et al.
Published: (2025)
by: Mars, Matthijs, et al.
Published: (2025)
Analyzing Data Quality and Decay in Mega-Constellations: A Physics-Informed Machine Learning Approach
by: Dyreby, Katarina, et al.
Published: (2025)
by: Dyreby, Katarina, et al.
Published: (2025)
Causal Foundation Models: Disentangling Physics from Instrument Properties
by: Audenaert, Jeroen, et al.
Published: (2025)
by: Audenaert, Jeroen, et al.
Published: (2025)
Improving Generalization and Uncertainty Quantification of Photometric Redshift Models
by: Soriano, Jonathan, et al.
Published: (2026)
by: Soriano, Jonathan, et al.
Published: (2026)
Physics-Informed Neural Networks for Satellite State Estimation
by: Varey, Jacob, et al.
Published: (2024)
by: Varey, Jacob, et al.
Published: (2024)
Magnetic Field Data Calibration with Transformer Model Using Physical Constraints: A Scalable Method for Satellite Missions, Illustrated by Tianwen-1
by: Li, Beibei, et al.
Published: (2024)
by: Li, Beibei, et al.
Published: (2024)
The Platonic Universe: Do Foundation Models See the Same Sky?
by: UniverseTBD, et al.
Published: (2025)
by: UniverseTBD, et al.
Published: (2025)
Earth Science Foundation Models: From Perception to Reasoning and Discovery
by: Zhao, Xiangyu, et al.
Published: (2026)
by: Zhao, Xiangyu, et al.
Published: (2026)
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)
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)
by: de Haan, Tijmen, et al.
Published: (2025)
AstroPT: Scaling Large Observation Models for Astronomy
by: Smith, Michael J., et al.
Published: (2024)
by: Smith, Michael J., et al.
Published: (2024)
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions
by: Gilda, Sankalp
Published: (2023)
by: Gilda, Sankalp
Published: (2023)
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification
by: Abduallah, Yasser, et al.
Published: (2024)
by: Abduallah, Yasser, et al.
Published: (2024)
TelescopeML -- I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results
by: Ehsan, et al.
Published: (2024)
by: Ehsan, et al.
Published: (2024)
Orbit Determination through Cosmic Microwave Background Radiation
by: de Albuquerque, Pedro K, et al.
Published: (2025)
by: de Albuquerque, Pedro K, et al.
Published: (2025)
Automating Sensor Characterization with Bayesian Optimization
by: Cuevas-Zepeda, J., et al.
Published: (2025)
by: Cuevas-Zepeda, J., et al.
Published: (2025)
Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution
by: Ramunno, Francesco Pio, et al.
Published: (2024)
by: Ramunno, Francesco Pio, et al.
Published: (2024)
Building Machine Learning Challenges for Anomaly Detection in Science
by: Campolongo, Elizabeth G., et al.
Published: (2025)
by: Campolongo, Elizabeth G., et al.
Published: (2025)
Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference
by: Lu, Hai-Ling, et al.
Published: (2026)
by: Lu, Hai-Ling, et al.
Published: (2026)
Learning novel representations of variable sources from multi-modal $\textit{Gaia}$ data via autoencoders
by: Huijse, P., et al.
Published: (2025)
by: Huijse, P., et al.
Published: (2025)
Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control
by: Nousiainen, Jalo, et al.
Published: (2023)
by: Nousiainen, Jalo, et al.
Published: (2023)
Advanced Modeling for Exoplanet Detection and Characterization
by: Chamarthy, Krishna
Published: (2025)
by: Chamarthy, Krishna
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)
by: Ferrière, Arsène, et al.
Published: (2026)
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)
by: Deshmukh, Suyash, et al.
Published: (2026)
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)
by: Seenivasan, Vikram, et al.
Published: (2026)
StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow
by: Jagwani, Gurjeet, et al.
Published: (2026)
by: Jagwani, Gurjeet, et al.
Published: (2026)
SELDON: Supernova Explosions Learned by Deep ODE Networks
by: Wu, Jiezhong, et al.
Published: (2026)
by: Wu, Jiezhong, et al.
Published: (2026)
Similar Items
-
SPT: Spectral Transformer for Red Giant Stars Age and Mass Estimation
by: Zhang, Mengmeng, et al.
Published: (2024) -
A Generalist Model Including Evolved Star Mass and Age
by: Zhang, Mengmeng, et al.
Published: (2026) -
Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling
by: Yang, Tianyue, et al.
Published: (2026) -
Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning
by: Shen, Jeff, et al.
Published: (2025) -
ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings
by: Tan, Antony, et al.
Published: (2025)