Copertina

Hyperspectral Variational Autoencoders for Joint Data Compression and Component Extraction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Park, Core Francisco, Perez-Carrasco, Manuel, Nowlan, Caroline, Garraffo, Cecilia
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

VADER: A Variational Autoencoder to Infer Planetary Masses and Gas-Dust Disk Properties Around Young Stars
di: Mahmud, Sayed Shafaat, et al.
Pubblicazione: (2025)

Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
di: Hesar, Fatemeh Fazel, et al.
Pubblicazione: (2026)

Analyzing Data Quality and Decay in Mega-Constellations: A Physics-Informed Machine Learning Approach
di: Dyreby, Katarina, et al.
Pubblicazione: (2025)

Hunting for "Oddballs" with Machine Learning: Detecting Anomalous Exoplanets Using a Deep-Learned Low-Dimensional Representation of Transit Spectra with Autoencoders
di: Roman, Alexander, et al.
Pubblicazione: (2026)

DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations
di: Chen, Chen, et al.
Pubblicazione: (2024)

Computing Transiting Exoplanet Parameters with 1D Convolutional Neural Networks
di: Álvarez, Santiago Iglesias, et al.
Pubblicazione: (2024)

Inferring Planet and Disk Parameters from Protoplanetary Disk Images Using a Variational Autoencoder
di: Mahmud, Sayed Shafaat, et al.
Pubblicazione: (2025)

Automated Discovery of Anomalous Features in Ultra-Large Planetary Remote Sensing Datasets using Variational Autoencoders
di: Lesnikowski, Adam, et al.
Pubblicazione: (2024)

ExoMiner++: Enhanced Transit Classification and a New Vetting Catalog for 2-Minute TESS Data
di: Valizadegan, Hamed, et al.
Pubblicazione: (2025)

FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning
di: Martínez, Francisco Ardévol, et al.
Pubblicazione: (2024)

Advanced Modeling for Exoplanet Detection and Characterization
di: Chamarthy, Krishna
Pubblicazione: (2025)

ExoNet: Calibrated Multimodal Deep Learning for TESS Exoplanet Candidate Vetting using Phase-Folded Light Curves, Stellar Parameters, and Multi-Head Attention
di: Islam, Md. Rashadul
Pubblicazione: (2026)

You Only Stack Once (YOSO): A Motion-Filtered, Deep-Learning Framework for Detecting Faint Moving Sources
di: Pandey, Nitya, et al.
Pubblicazione: (2026)

A Cloud-Based Tool for Meteorite Recovery Using Drones and Machine Learning
di: Anderson, Seamus L., et al.
Pubblicazione: (2026)

Understanding Exoplanet Habitability: A Bayesian ML Framework for Predicting Atmospheric Absorption Spectra
di: Trehan, Vasuda, et al.
Pubblicazione: (2025)

Accelerating Radiative Transfer for Planetary Atmospheres by Orders of Magnitude with a Transformer-Based Machine Learning Model
di: Malsky, Isaac, et al.
Pubblicazione: (2025)

Beyond Spherical geometry: Unraveling complex features of objects orbiting around stars from its transit light curve using deep learning
di: Bhowmick, Ushasi, et al.
Pubblicazione: (2025)

NeuralCMS: A deep learning approach to study Jupiter's interior
di: Ziv, Maayan, et al.
Pubblicazione: (2024)

Detecting Moving Objects With Machine Learning
di: Fraser, Wesley C.
Pubblicazione: (2024)

Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets
di: Lalande, Florian, et al.
Pubblicazione: (2024)

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

Asteroid shape inversion with light curves using deep learning
di: Tang, YiJun, et al.
Pubblicazione: (2025)

WATSON-Net: Vetting, Validation, and Analysis of Transits from Space Observations with Neural Networks
di: Dévora-Pajares, M., et al.
Pubblicazione: (2025)

ExoMiner++ 2.0: Vetting TESS Full-Frame Image Transit Signals
di: Martinho, Miguel J. S., et al.
Pubblicazione: (2026)

The weird and the wonderful in our Solar System: Searching for serendipity in the Legacy Survey of Space and Time
di: Rogers, Brian, et al.
Pubblicazione: (2024)

Active Learning for Planet Habitability Classification under Extreme Class Imbalance
di: El-Kholy, R. I., et al.
Pubblicazione: (2026)

DBNets: A publicly available deep learning tool to measure the masses of young planets in dusty protoplanetary discs
di: Ruzza, Alessandro, et al.
Pubblicazione: (2024)

MasconCube: Fast and Accurate Gravity Modeling with an Explicit Representation
di: Fanti, Pietro, et al.
Pubblicazione: (2025)

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

RAVEN: RAnking and Validation of ExoplaNets
di: Hadjigeorghiou, Andreas, et al.
Pubblicazione: (2025)

Earth-like planet predictor: A machine learning approach
di: Davoult, Jeanne, et al.
Pubblicazione: (2025)

Panopticon: a novel deep learning model to detect single transit events with no prior data filtering in PLATO light curves
di: Vivien, H. G., et al.
Pubblicazione: (2024)

ThermoONet -- a deep learning-based small body thermophysical network: applications to modelling water activity of comets
di: Zhao, Shunjing, et al.
Pubblicazione: (2025)

Breccia and basalt classification of thin sections of Apollo rocks with deep learning
di: Thoresen, Freja, et al.
Pubblicazione: (2024)

Sequencing Silicates in the IRS Debris Disk Catalog I: Methodology for Unsupervised Clustering
di: Lu, Cicero X., et al.
Pubblicazione: (2025)

The Detection of KIC 1718360, A Rotating Variable with a Possible Companion, Using Machine Learning
di: Roche, Jakob
Pubblicazione: (2024)

Accelerating Giant Impact Simulations with Machine Learning
di: Lammers, Caleb, et al.
Pubblicazione: (2024)

The model is the message: Lightweight convolutional autoencoders applied to noisy imaging data for planetary science and astrobiology
di: Scharf, Caleb
Pubblicazione: (2025)

Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks
di: Jacques, Baimam Boukar Jean
Pubblicazione: (2025)

The Exoplanet Citizen Science Pipeline: Human Factors and Machine Learning
di: Creaner, Oisín, et al.
Pubblicazione: (2025)