198 citations · 285 across the 151 of their papers we have counts for
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cs.LG2023
Probabilistic computation and uncertainty quantification with emerging covariance
Hengyuan Ma, Yang Qi, Li Zhang +2
Building robust, interpretable, and secure AI system requires quantifying and representing uncertainty under a probabilistic perspective to mimic human cognitive abilities. However…
cs.CV2023★ 2 cited
Joint fMRI Decoding and Encoding with Latent Embedding Alignment
Xuelin Qian, Yikai Wang, Yanwei Fu +3
The connection between brain activity and corresponding visual stimuli is crucial in comprehending the human brain. While deep generative models have exhibited advancement in recov…
cs.CV2023★ 1 cited
Preconditioned Score-based Generative Models
Hengyuan Ma, Xiatian Zhu, Jianfeng Feng +1
Score-based generative models (SGMs) have recently emerged as a promising class of generative models. However, a fundamental limitation is that their sampling process is slow due t…