Jasper Snoek
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Machine Learning and Data Classification, Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Machine Learning and Algorithms
Most-Cited Works
- → Practical Bayesian Optimization of Machine Learning Algorithms(2012)5,634 cited
- → Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks(2016)1,137 cited
- → Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift(2019)651 cited
- → Sequential regulatory activity prediction across chromosomes with convolutional neural networks(2018)554 cited
- Multi-Task Bayesian Optimization(2013)
- → Scalable Bayesian Optimization Using Deep Neural Networks(2015)439 cited
- → Second opinion needed: communicating uncertainty in medical machine learning(2021)401 cited