Adam D. Cobb

Improving Differential Evolution through Bayesian Hyperparameter Optimization

Subhodip Biswas, Debanjan Saha, Shuvodeep De et al. · 2021 · 103 citations

Artificial Intelligence, Engineering, Machine Learning +16

BayesOpt Adversarial Attack

Binxin Ru, Adam D. Cobb, Arno Blaas et al. · International Conference on Learning Representations · 2020 · 44 citations

Artificial Intelligence, Engineering, Machine Learning +16

Accurate Machine-learning Atmospheric Retrieval via a Neural-network Surrogate Model for Radiative Transfer

Michael D. Himes, Joseph Harrington, Adam D. Cobb et al. · The Planetary Science Journal · 2022 · 37 citations · Full text

Loss-Calibrated Approximate Inference in Bayesian Neural Networks

Adam D. Cobb, Stephen Roberts, Yarin Gal · arXiv (Cornell University) · 2018 · 32 citations · Full text

Artificial Intelligence, Bayesian Decision Theory, Engineering +18

Bayesian Deep Learning for Exoplanet Atmospheric Retrieval

Frank Soboczenski, Michael D. Himes, Molly D. O’Beirne et al. · arXiv (Cornell University) · 2018 · 18 citations · Full text

Atmospheric Retrieval, Biosignature, Exoplanet Atmosphere +9