Publications

AISTATS

Factorial SDE for Multi-Output Gaussian Process Regression

---

D.P. Jeong, S. Kim.

International Conference on Artificial Intelligence and Statistics (AISTATS) 2023

[abs, pdf, code]

AISTATS

Doubly Mixed-Effects Gaussian Process Regression

---

J.H. Yoon, D.P. Jeong, S. Kim.

International Conference on Artificial Intelligence and Statistics (AISTATS) 2022 (Oral, 2.6% of All Submissions)

[abs, pdf, code]

MLCB

Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations

---

I. Drori, D. Thaker, A. Srivatsa, D. Jeong, Y. Wang, L. Nan, F. Wu, D. Leggas, J. Lei, W. Lu, W. Fu, Y. Gao, S. Karri, A. Kannan, A. Moretti, M. AlQuraishi, C. Keasar, I. Pe'er.

Machine Learning in Computational Biology (MLCB) 2019

[abs, pdf, code]

NeurIPS LMRL

Protein structure prediction with deep learning representations

---

I. Drori, D. Thaker, A. Srivatsa, D. Jeong, Y. Wang, L. Nan, F. Wu, D. Leggas, J. Lei, W. Lu, W. Fu, Y. Gao, S. Karri, A. Kannan, A. Moretti, C. Keasar, I. Pe'er.

Advances in Neural Information Processing Systems (NeurIPS) 2019 Workshop on Learning Meaningful Representations of Life

AIAA SciTech

Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks

---

S. Sonawani, R. Alimo, R. Detry, D. Jeong, A. Hess, H. Ben Amor.

AIAA SciTech 2020

[abs, pdf]

IEEE AeroConf

COSMIC: Content-based Onboard Summarization to Monitor Infrequent Change

---

G. Doran, E. Langert, S. Lu, L. Mandrake, K.L. Wagstaff, J. Young, A. Braunegg*, P. Horton*, D. Jeong*, A. Trockman*.

IEEE Aerospace Conference 2020

[abs, pdf]

IEEE AeroConf

Utilizing High Altitude Balloons as Low-Cost CubeSat Testbeds

---

H. Hall, P. Beglar*, M. Chamieh*, J. Chu*, R. Daruwala*, V. Duong*, S. Holt*, D. Jeong*, M. Lally*, L. Nguyen*, R. Rafizadeh*, P. Soon Fah*, A. Viros*, K. Weng*, C. Yuan*, C. Derewa, A. Stoica.

IEEE Aerospace Conference 2020