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Myong Chol Jung

2 accepted papers

2023

Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation

NeurIPS 2023poster

Uncertainty estimation is an important research area to make deep neural networks (DNNs) more trustworthy. While extensive research on uncertainty estimation has been conducted with unimodal data, uncertainty estimation for multimodal data remains a challenge. Neural processes (NPs) have been demons…

Cited by 16SourcePDFScholar
2022

Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture

NeurIPS 2022accept

Uncertainty estimation is essential to make neural networks trustworthy in real-world applications. Extensive research efforts have been made to quantify and reduce predictive uncertainty. However, most existing works are designed for unimodal data, whereas multi-view uncertainty estimation has not…

Cited by 11SourcePDFScholar