발행물

논문
특허
저서
컨퍼런스

전체 논문

1146

181

Contextual Sprint Classification in Soccer Based on Deep Learning
Hyunsung Kim, Gun-Hee Joe, Jinsung Yoon, Sang‐Ki Ko
arXiv (Cornell University), 2024

182

Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble
Hanjun Choi, Hyunsung Kim, Minho Lee, Chang-Jo Kim, Jinsung Yoon, Sang‐Ki Ko
arXiv (Cornell University), 2024

183

MPruner: Optimizing Neural Network Size with CKA-Based Mutual Information Pruning
Seungbeom Hu, C. W. Park, Andrew Ferraiuolo, Sang‐Ki Ko, Jinwoo Kim, Haein Song, Ji-Eung Kim
arXiv (Cornell University), 2024

184

Customization of latent space in semi-supervised Variational AutoEncoder
Seunghwan An, Jong‐June Jeon
Pattern Recognition Letters, 2023

185

Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Kyungwoo Song, Changdae Oh, 전종준
Advances in Neural Information Processing Systems, 2023

186

Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
Seunghwan An, Jong‐June Jeon
arXiv (Cornell University), 2023

187

Causally Disentangled Generative Variational AutoEncoder
Seunghwan An, Kyungwoo Song, Jong‐June Jeon
Frontiers in artificial intelligence and applications, 2023

188

Quantile estimation for encrypted data
Minje Park, Jae-Seon Kim, Sung-Chul Shin, Cheolwoo Park, Jong‐June Jeon, Soon-Sun Kwon, Hosik Choi
Applied Intelligence, 2023

189

Customized Latent Space: Practical Usage of Variational Autoencoder
Seunghwan An, Jong‐June Jeon
SSRN Electronic Journal, 2023

190

Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms
Sunghcul Hong, Yunjin Choi, Jong‐June Jeon
arXiv (Cornell University), 2023