Publications

Campbell, A. et al. (2023) “Trans-Dimensional Generative Modeling via Jump Diffusion Models”, in Advances in Neural Information Processing Systems.

Miao, N. et al. (2023) “Learning Instance-Specific Augmentations by Capturing Local Invariances”, in Proceedings of Machine Learning Research, pp. 24720–24736.

Venkatesh, S. et al. (2023) “Genetic architecture of longitudinal obesity trajectories in primary care electronic health records”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 39–39.

Mijoule, G. et al. (2023) “Stein’s density method for multivariate continuous distributions”, Electronic Journal of Probability, 28(none).

Mitra, R. et al. (2023) “Learning from data with structured missingness”, Nature Machine Intelligence, 5(1), pp. 13–23.

Sharma, M. et al. (2023) “Do Bayesian Neural Networks Need To Be Fully Stochastic?”, in Proceedings of Machine Learning Research, pp. 7694–7722.

He, Y. et al. (2023) “PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs”, in Proceedings of Machine Learning Research, pp. 121–1227.

Venkatesh, S. et al. (2023) “The genetic architecture of changes in adiposity during adulthood”, medRxiv.

Williams, C. et al. (2023) “A Unified Framework for U-Net Design and Analysis”, in Advances in Neural Information Processing Systems.