50 citations · 63 across the 7 of their papers we have counts for
7 papers
JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients
Woo Kyoung Han, Sunghoon Im, Jaedeok Kim +1
We propose a practical approach to JPEG image decoding, utilizing a local implicit neural representation with continuous cosine formulation. The JPEG algorithm significantly quanti…
Universal Effectiveness of High-Depth Circuits in Variational Eigenproblems
Joonho Kim, Jaedeok Kim, Dario Rosa
We explore the effectiveness of variational quantum circuits in simulating the ground states of quantum many-body Hamiltonians. We show that generic high-depth circuits, performing…
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
Sean Welleck, Ilia Kulikov, Jaedeok Kim +2
Despite strong performance on a variety of tasks, neural sequence models trained with maximum likelihood have been shown to exhibit issues such as length bias and degenerate repeti…
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks
Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung +1
Architecture optimization, which is a technique for finding an efficient neural network that meets certain requirements, generally reduces to a set of multiple-choice selection pro…
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning
Hyun-Joo Jung, Jaedeok Kim, Yoonsuck Choe
Various forms of representations may arise in the many layers embedded in deep neural networks (DNNs). Of these, where can we find the most compact representation? We propose to us…
Comparing Sample-wise Learnability Across Deep Neural Network Models
Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung +1
Estimating the relative importance of each sample in a training set has important practical and theoretical value, such as in importance sampling or curriculum learning. This kind…