Yeming Wen

Benchmarking Model-Based Reinforcement Learning

Tingwu Wang, Xuchan Bao, Ignasi Clavera et al. · arXiv (Cornell University) · 2019 · 242 citations · Full text

Model-based Learning, Artificial Intelligence, Model-based Reinforcement Learning +15

Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches

Yeming Wen, Paul Vicol, Jimmy Ba et al. · arXiv (Cornell University) · 2018 · 175 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +18

BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning

Yeming Wen, Dustin Tran, Jimmy Ba · arXiv (Cornell University) · 2020 · 91 citations · Full text

Artificial Intelligence, Incremental Learning, Engineering +21

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