3 citations · 4 across the 2 of their papers we have counts for
2 papers
stat.ML2023★ 3 cited
Morse Neural Networks for Uncertainty Quantification
Benoit Dherin, Huiyi Hu, Jie Ren +2
We introduce a new deep generative model useful for uncertainty quantification: the Morse neural network, which generalizes the unnormalized Gaussian densities to have modes of hig…
cs.CV2023★ 1 cited
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models
Yunhao Ge, Jie Ren, Jiaping Zhao +4
We focus on the challenge of out-of-distribution (OOD) detection in deep learning models, a crucial aspect in ensuring reliability. Despite considerable effort, the problem remains…