Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts. - Adrian Kim; Kyomin Jung; Yongsub Lim; Daniel Tarlow; Pushmeet Kohli (UAI, 2015)

Predicting high-risk prognosis from diagnostic histories of adult disease patients via deep recurrent neural networks. - Jung-Woo Ha 001; Adrian Kim; Dongwon Kim; Jeonghee Kim; Jeong-Whun Kim; Jin Joo Park; Borim Ryu (BigComp, 2017)

Music Emotion Recognition via End-to-End Multimodal Neural Networks. - Byungsoo Jeon; Chanju Kim; Adrian Kim; Dongwon Kim; Jangyeon Park; JungWoo Ha (RecSys Posters, 2017)

Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks. - Jung-Woo Ha 001; Adrian Kim; Chanju Kim; Jangyeon Park; Sunghun Kim 001 (CoRR, 2017)

CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms. - Jingwoong Kim; Minkyu Kim; Heungseok Park; Ernar Kusdavletov; Dongjun Lee; Adrian Kim; Ji-Hoon Kim; Jung-Woo Ha 001; Nako Sung (CoRR, 2018)

Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement. - Jang-Hyun Kim; Jaejun Yoo 001; Sanghyuk Chun; Adrian Kim; Jung-Woo Ha 001 (CoRR, 2018)

Phase-Aware Speech Enhancement with Deep Complex U-Net. - Hyeong-Seok Choi; Jang-Hyun Kim; Jaesung Huh; Adrian Kim; Jung-Woo Ha 001; Kyogu Lee (ICLR (Poster), 2019)

Modeling Musical Onset Probabilities via Neural Distribution Learning. - Jaesung Huh; Egil Martinsson; Adrian Kim; Jung-Woo Ha (CoRR, 2020)