- Machine Learning for Radiometer Calibration
- A Differentiable Bayesian Anomaly Detection Framework for Robust SALT3 Parameter Estimation Using JAX
- Bayesian Anomaly Detection for Ia Supernovae using JAX-bandflux
- A Differentiable Bayesian Anomaly Detection Framework for Robust SALT3 Parameter Estimation Using JAX
- Bayesian anomaly detection for Cosmology - 21cm, Supernovae, and beyond
- Bayesian Anomaly Detection for Ia supernovae using JAX-bandflux
- Bayesian Anomaly Detection for Ia supernovae using JAX-bandflux
- Bayesian Anomaly Detection for RFI, Radio Transients and Supernovae
- New Data Analysis Methods for Radiometer Calibration
- Machine learning for radiometer calibration in REACH
- REACH annual meeting 2024
- Slides (.pdf)
- Source files
- Machine learning for radiometer calibration
- Bayesian Anomaly Detection
- A Bayesian approach RFI mitigation
- A Bayesian approach to RFI mitigation
- RFI mitigation in the REACH pipeline
-
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