Kim, Sungwon

18 publications

ICLRW 2025 Capturing Functional Context of Genetic Pathways Through Hyperedge Disentanglement Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park

NeurIPS 2025 Disentangling Hyperedges Through the Lens of Category Theory Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park

ICML 2025 ETTA: Elucidating the Design Space of Text-to-Audio Models Sang-Gil Lee, Zhifeng Kong, Arushi Goel, Sungwon Kim, Rafael Valle, Bryan Catanzaro

ICLR 2025 Fugatto 1: Foundational Generative Audio Transformer Opus 1 Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, Joao Felipe Santos, Shuqi Dai, Siddharth Gururani, Aya Aljafari, Alexander H. Liu, Kevin J. Shih, Ryan Prenger, Wei Ping, Chao-Han Huck Yang, Bryan Catanzaro

ICLR 2025 Subgraph Federated Learning for Local Generalization Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park

ICML 2025 Thickness-Aware E(3)-Equivariant 3D Mesh Neural Networks Sungwon Kim, Namkyeong Lee, Yunyoung Doh, Seungmin Shin, Guimok Cho, Seung-Won Jeon, Sangkook Kim, Chanyoung Park

ICML 2024 Unsupervised Episode Generation for Graph Meta-Learning Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park

ICML 2023 Conditional Graph Information Bottleneck for Molecular Relational Learning Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park

NeurIPS 2023 Density of States Prediction of Crystalline Materials via Prompt-Guided Multi-Modal Transformer Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park

NeurIPS 2023 Interpretable Prototype-Based Graph Information Bottleneck Sangwoo Seo, Sungwon Kim, Chanyoung Park

NeurIPS 2023 P-Flow: A Fast and Data-Efficient Zero-Shot TTS Through Speech Prompting Sungwon Kim, Kevin Shih, Rohan Badlani, Joao Felipe Santos, Evelina Bakhturina, Mikyas Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro

ICLRW 2023 Predicting Density of States via Multi-Modal Transformer Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park

ICML 2022 Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance Heeseung Kim, Sungwon Kim, Sungroh Yoon

CVPR 2022 Perception Prioritized Training of Diffusion Models Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon

ICCV 2021 ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon

NeurIPS 2020 Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon

NeurIPS 2020 NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity Sang-gil Lee, Sungwon Kim, Sungroh Yoon

ICML 2019 FloWaveNet : A Generative Flow for Raw Audio Sungwon Kim, Sang-Gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon