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| Bayesian Variable Selection in a Million Dimensions | Aug 2, 2022 | regressionVariable Selection | CodeCode Available | 1 |
| Bayesian Optimization of Catalysis With In-Context Learning | Apr 11, 2023 | Bayesian OptimizationFeature Engineering | CodeCode Available | 1 |
| Bayesian Graph Neural Networks for Molecular Property Prediction | Nov 25, 2020 | Molecular Property PredictionPrediction | CodeCode Available | 1 |
| DeepMoD: Deep learning for Model Discovery in noisy data | Apr 20, 2019 | Deep LearningModel Discovery | CodeCode Available | 1 |
| Bayesian inference for logistic models using Polya-Gamma latent variables | May 2, 2012 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 |
| BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale | Dec 4, 2021 | BenchmarkingHyperparameter Optimization | CodeCode Available | 1 |
| Cauchy-Schwarz Divergence Information Bottleneck for Regression | Apr 27, 2024 | Adversarial RobustnessInformation Plane | CodeCode Available | 1 |
