Wesley J. Maddox
Cornell University(US)New York University(US)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Advanced Multi-Objective Optimization Algorithms, Adversarial Robustness in Machine Learning, Machine Learning and Data Classification, Neural Networks and Applications
Most-Cited Works
- → A Simple Baseline for Bayesian Uncertainty in Deep Learning(2019)181 cited
- → Heteroplasmic shifts in tumor mitochondrial genomes reveal tissue-specific signals of relaxed and positive selection(2017)75 cited
- Subspace Inference for Bayesian Deep Learning(2019)
- → Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited(2020)28 cited
- → Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders(2022)22 cited
- → Similarity of Neural Networks with Gradients(2020)12 cited
- → On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification(2022)9 cited
- → Bayesian Optimization with High-Dimensional Outputs(2021)9 cited
- → Function-Space Distributions over Kernels(2019)8 cited