Scalable Robust Multi-Agent Reinforcement Learning for Model Uncertainty. - Younkyung Jwa; Minseon Gwak; Jiin Kwak; Chang Wook Ahn; PooGyeon Park (CDC, 2023)

Speech Enhancement for Virtual Meetings on Cellular Networks. - Hojeong Lee; Minseon Gwak; Kawon Lee; Minjeong Kim; Joseph Konan; Ojas Bhargave (CoRR, 2023)

Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms. - Joseph Konan; Ojas Bhargave; Shikhar Agnihotri; Hojeong Lee; Ankit Shah 001; Shuo Han; Yunyang Zeng; Amanda Shu; Haohui Liu; Xuankai Chang; Hamza Khalid; Minseon Gwak; et al. (CoRR, 2023)

Robust and Explainable Fault Diagnosis With Power-Perturbation-Based Decision Boundary Analysis of Deep Learning Models. - Minseon Gwak; Min Su Kim; Jong Pil Yun; PooGyeon Park (IEEE Trans. Ind. Informatics, 2023)

Explainable AI Framework with Multi-Source Data-Driven Anomaly Detection for Injection Molding Machines. - Minseon Gwak; Kyung Soo Kim; PooGyeon Park (ASCC, 2024)

Layer-Adaptive State Pruning for Deep State Space Models. - Minseon Gwak; Seongrok Moon; Joohwan Ko; PooGyeon Park (NeurIPS, 2024)