David Keetae Park

According to our database, David Keetae Park authored at least 31 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Uncertainty-Calibrated Spatiotemporal Field Diffusion with Sparse Supervision.

Kevin Valencia, Xihaier Luo, Shinjae Yoo, David Keetae Park

CoRR, March, 2026

DANCE: Doubly Adaptive Neighborhood Conformal Estimation.

Brandon R. Feng, Brian J. Reich, Daniel Beaglehole, Xihaier Luo, David Keetae Park, Shinjae Yoo, Zhechao Huang, Xueyu Mao, Olcay Boz, Jungeum Kim

CoRR, February, 2026

Recovering Whole-Brain Causal Connectivity under Indirect Observation with Applications to Human EEG and fMRI.

Sangyoon Bae, Miruna Oprescu, David Keetae Park, Shinjae Yoo, Jiook Cha

CoRR, February, 2026

Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing.

Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov

Future Gener. Comput. Syst., 2026

2025

DIVER-1 : Deep Integration of Vast Electrophysiological Recordings at Scale.

Danny Dongyeop Han, Yonghyeon Gwon, Ahhyun Lucy Lee, Taeyang Lee, Seong Jin Lee, Jubin Choi, Sebin Lee, Jihyun Bang, Seungju Lee, David Keetae Park, Shinjae Yoo, Chun Kee Chung, Jiook Cha

CoRR, December, 2025

Scalable Diffusion Transformer for Conditional 4D fMRI Synthesis.

Jungwoo Seo, David Keetae Park, Shinjae Yoo, Jiook Cha

CoRR, November, 2025

OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning.

Kevin Valencia, Thilina Balasooriya, Xihaier Luo, Shinjae Yoo, David Keetae Park

CoRR, November, 2025

Data Management System Analysis for Distributed Computing Workloads.

Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sankha Dutta, Yihui Ren, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

CoRR, October, 2025

CGSim: A Simulation Framework for Large Scale Distributed Computing Environment.

Sairam Sri Vatsavai, Raees Khan, Kuan-Chieh Hsu, Ozgur O. Kilic, Paul Nilsson, Tatiana Korchuganova, David Keetae Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

CoRR, October, 2025

Machine Learning-Driven Predictive Resource Management in Complex Science Workflows.

Tasnuva Chowdhury, Tadashi Maeno, Fatih Furkan Akman, Joseph Boudreau, Sankha Dutta, Shengyu Feng, Adolfy Hoisie, Kuan-Chieh Hsu, Raees Khan, Jaehyung Kim, Ozgur O. Kilic, Scott Klasky, Alexei Klimentov, Tatiana Korchuganova, Verena Ingrid Martinez Outschoorn, Paul Nilsson, David Keetae Park, Norbert Podhorszki, Yihui Ren, John Rembrandt Steele, Frédéric Suter, Sairam Sri Vatsavai, Torre J. Wenaus, Wei Yang, Yiming Yang, Shinjae Yoo

CoRR, September, 2025

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

CoRR, August, 2025

DIVER-0 : A Fully Channel Equivariant EEG Foundation Model.

Danny Dongyeop Han, Ahhyun Lucy Lee, Taeyang Lee, Yonghyeon Gwon, Sebin Lee, Seongjin Lee, David Keetae Park, Shinjae Yoo, Jiook Cha, Chun Kee Chung

CoRR, July, 2025

Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures.

Ozgur O. Kilic, David Keetae Park, Yihui Ren, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

CoRR, June, 2025

STACI: Spatio-Temporal Aleatoric Conformal Inference.

Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian J. Reich

CoRR, May, 2025

GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders.

Miruna Oprescu, David Keetae Park, Xihaier Luo, Shinjae Yoo, Nathan Kallus

CoRR, February, 2025

CGSim: A Simulation Framework for Large Scale Distributed Computing Environment.

Sairam Sri Vatsavai, Raees Khan Ahmed, Kuan-Chieh Hsu, Ozgur O. Kilic, Yihui Ren, David K. Park, Paul Nilsson, Tania Korchuganova, Sankha Dutta, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Fatih Furkan Akman, Adolfy Hoisie, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, John Rembrandt Steele, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

Data Management System Analysis for Distributed Computing Workloads.

Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Sankha Dutta, Yihui Ren, David K. Park, Tatiana Korchuganova, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Ahmad Khan, Jaehyung Kim, Norbert Podhorszki, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

Error Analysis of Globally Distributed Workflow Management System.

Sankha Dutta, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sairam Sri Vatsavai, Kuan-Chieh Hsu, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Precise Identification of Neurological Disorders using Deep Learning and Multimodal Clinical Neuroimaging

David Keetae Park

PhD thesis, 2024

AI Surrogate Model for Distributed Computing Workloads.

David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2020

F\^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax.

Byung-Ju Choi, Jimin Hong, David Keetae Park, Sang Wan Lee

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

What and Where to Translate: Local Mask-based Image-to-Image Translation.

Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo

CoRR, 2019

Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation.

Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Interpreting Models by Allowing to Ask.

Sungmin Kang, David Keetae Park, Jaehyuk Chang, Jaegul Choo

CoRR, 2018

Question-Aware Sentence Gating Networks for Question and Answering.

Minjeong Kim, David Keetae Park, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo

CoRR, 2018

Text2Colors: Guiding Image Colorization through Text-Driven Palette Generation.

Wonwoong Cho, Hyojin Bahng, David Keetae Park, Seungjoo Yoo, Ziming Wu, Xiaojuan Ma, Jaegul Choo

CoRR, 2018

MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation.

David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

MMGAN: Manifold-Matching Generative Adversarial Networks.

Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation.

Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho, David Keetae Park, Ziming Wu, Xiaojuan Ma, Jaegul Choo

Proceedings of the Computer Vision - ECCV 2018, 2018

2015

Big Data and the Regulation of Financial Markets.

Sharyn O'Halloran, Sameer Maskey, Geraldine McAllister, David K. Park, Kaiping Chen

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015