Ghassen Jerfel

Underspecification Presents Challenges for Credibility in Modern Machine Learning

Alexander D’Amour, Katherine Heller, Dan Moldovan et al. · arXiv (Cornell University) · 2020 · 430 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

Measuring Calibration in Deep Learning

Jeremy Nixon, Mike Dusenberry, Ghassen Jerfel et al. · arXiv (Cornell University) · 2019 · 155 citations · Full text

Engineering, Machine Learning, Machine Learning Classifiers +20

Measuring Calibration in Deep Learning

Jeremy Nixon, Michael W. Dusenberry, Linchuan Zhang et al. · Computer Vision and Pattern Recognition · 2019 · 69 citations

Sensor Calibration, Machine Vision, Machine Learning +7

A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness

Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren et al. · arXiv (Cornell University) · 2022 · 36 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +19

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors

Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen et al. · arXiv (Cornell University) · 2020 · 33 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +16