1 citations · 1 across the 2 of their papers we have counts for
7 papers
Detection of Signal in the Spiked Rectangular Models
Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
We consider the problem of detecting signals in the rank-one signal-plus-noise data matrix models that generalize the spiked Wishart matrices. We show that the principal component…
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
Jinhee Lee, Haeri Kim, Youngkyu Hong +1
Despite remarkable performance in producing realistic samples, Generative Adversarial Networks (GANs) often produce low-quality samples near low-density regions of the data manifol…
Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE
Jeonghwan Lee, Daesung Kim, Hye Won Chung
We study hypergraph clustering in the weighted -uniform hypergraph stochastic block model (\textsf{-WHSBM}), where each edge consisting of nodes from the same community h…
Weak Detection in the Spiked Wigner Model with General Rank
Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
We study the statistical decision process of detecting the signal from a `signal+noise' type matrix model with an additive Wigner noise. We propose a hypothesis test based on the l…
Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution
Youngjae Min, Hye Won Chung
Guiding the design of neural networks is of great importance to save enormous resources consumed on empirical decisions of architectural parameters. This paper constructs shallow s…
Parity Queries for Binary Classification
Hye Won Chung, Ji Oon Lee, Doyeon Kim +1
Consider a query-based data acquisition problem that aims to recover the values of binary variables from parity (XOR) measurements of chosen subsets of the variables. Assume th…