Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes.
Kai Hou YipQuentin ChangeatIngo P. WaldmannEyup B. UnluRoy T. ForestanoAlexander RomanKatia MatchevaKonstantin T. MatchevStefan StefanovOndrej PodsztavekMario MorvanNikolaos NikolaouAhmed F. Al-RefaieClare JennerChris JohnsonAngelos TsiarasBilly EdwardsCatarina Alves de OliveiraJeyan ThiyagalingamPierre-Olivier LagageJames ChoGiovanna TinettiPublished in: NeurIPS (Competition and Demos) (2021)
Keyphrases
- lessons learned
- synthetic data
- database
- high quality
- data sources
- data processing
- data analysis
- data collection
- data sets
- complex data
- future directions
- data quality
- raw data
- missing data
- small number
- training data
- neural network
- statistical analysis
- data points
- attribute values
- sensor data
- data distribution
- probability distribution
- high dimensional
- data objects
- case study
- historical data