Park, David Keetae

7 publications

ICLR 2026 FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics David Keetae Park, Shuhang Li, Yi Huang, Xihaier Luo, Haiwang Yu, Yeonju Go, Christopher Pinkenburg, Yuewei Lin, Shinjae Yoo, Joseph D. Osborn, Jin Huang, Yihui Ren

ICLR 2026 OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning Kevin Valencia, Thilina Balasooriya, Xihaier Luo, Shinjae Yoo, David Keetae Park

NeurIPS 2025 GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding Miruna Oprescu, David Keetae Park, Xihaier Luo, Shinjae Yoo, Nathan Kallus

ICML 2025 SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo

NeurIPS 2025 STACI: Spatio-Temporal Aleatoric Conformal Inference Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian Reich

CVPR 2019 Image-to-Image Translation via Group-Wise Deep Whitening-and-Coloring Transformation Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo

IJCAI 2018 MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park