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| Self-Supervised Representation Learning for Astronomical Images | Dec 24, 2020 | AstronomyContrastive Learning | CodeCode Available | 1 |
| Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation | Jan 15, 2025 | Photometric Redshift Estimation | CodeCode Available | 0 |
| Determination of galaxy photometric redshifts using Conditional Generative Adversarial Networks (CGANs) | Jan 11, 2025 | Photometric Redshift Estimation | CodeCode Available | 0 |
| Using different sources of ground truths and transfer learning to improve the generalization of photometric redshift estimation | Nov 27, 2024 | Photometric Redshift EstimationTransfer Learning | —Unverified | 0 |
| CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation | Oct 25, 2024 | Computational EfficiencyContrastive Learning | CodeCode Available | 0 |
| Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model | Feb 5, 2024 | AstronomyPhotometric Redshift Estimation | —Unverified | 0 |
| Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR) | May 29, 2022 | Conformal PredictionDensity Estimation | CodeCode Available | 0 |
| Photometric Redshift Estimation with Convolutional Neural Networks and Galaxy Images: A Case Study of Resolving Biases in Data-Driven Methods | Feb 21, 2022 | Photometric Redshift EstimationRepresentation Learning | —Unverified | 0 |
| Scalable Statistical Inference of Photometric Redshift via Data Subsampling | Mar 30, 2021 | Photometric Redshift Estimation | —Unverified | 0 |
| Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference | Aug 30, 2019 | AstronomyDensity Estimation | CodeCode Available | 0 |
| A Sparse Gaussian Process Framework for Photometric Redshift Estimation | May 20, 2015 | Gaussian ProcessesPhotometric Redshift Estimation | —Unverified | 0 |
