571 citations · 861 across the 18 of their papers we have counts for
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quant-ph2023
Learning Restricted Boltzmann Machines with greedy quantum search
Liming Zhao, Aman Agrawal, Patrick Rebentrost
Restricted Boltzmann Machines (RBMs) are widely used probabilistic undirected graphical models with visible and latent nodes, playing an important role in statistics and machine le…
quant-ph2023★ 1 cited
Provable learning of quantum states with graphical models
Liming Zhao, Naixu Guo, Ming-Xing Luo +1
The complete learning of an -qubit quantum state requires samples exponentially in . Several works consider subclasses of quantum states that can be learned in polynomial sam…
cs.CV2023★ 23 cited
MomentDiff: Generative Video Moment Retrieval from Random to Real
Pandeng Li, Chen-Wei Xie, Hongtao Xie +5
Video moment retrieval pursues an efficient and generalized solution to identify the specific temporal segments within an untrimmed video that correspond to a given language descri…