Recent Publications

HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video

Hongchi Xia, Chih-Hao Lin, Hao-Yu Hsu, Quentin Leboutet, Katelyn Gao, Michael Paulitsch, Benjamin Ummenhofer, Shenlong Wang

In submission (2025)

[arXiv coming soon]

Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework

Nina Wiedemann, Sainan Liu, Quentin Leboutet, Katelyn Gao, Michael Paulitsch, Benjamin Ummenhofer, Kai Yuan

Accepted to TMLR (2025)

[arXiv coming soon][code]

Generalizing Gaussian Smoothing for Random Search

Katelyn Gao, Ozan Sener

39th International Conference on Machine Learning (2022)

[arXiv][code]

Modeling and Optimization Trade-off in Meta-learning

Katelyn Gao, Ozan Sener

Advances in Neural Information Processing Systems 33 (2020)

[arXiv][code]

Estimation and Inference for Very Large Linear Mixed Effects Models

Katelyn Gao, Art Owen

Statistica Sinica 30(4) (2020)

[arXiv][code]

Assessing Generalization in Deep Reinforcement Learning

Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krahenbuhl, Vladlen Koltun, Dawn Song (2018)

[arXiv][code][blog post]

Efficient Moment Calculations for Variance Components in Large Unbalanced Crossed Random Effects Models

Katelyn Gao, Art Owen

Electronic Journal of Statistics 11(1) (2017)

[paper][code]