Latest research projects, publications, and talks
Phase Retrieval using Single-Instance Deep Generative Prior [preprint]
Posted
Kshitij Tayal (Ph.D. student), Raunak Manekar (Ph.D. student), Zhong Zhuang, David Yang, Vipin Kumar (professor), Felix Hofmann, Ju Sun (professor)
Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization [preprint]
Posted
David A Barmherzig, Ju Sun (assistant professor)
State of Radiomics in Glioblastoma [journal]
Posted
Birra Taha, Daniel Boley (professor), Ju Sun (assistant professor), Clark C Chen
Neurosurgery
Detection of Isocitrate Dehydrogenase Mutated Glioblastomas Through Anomaly Detection Analytics [journal]
Posted
Birra Taha, Taihui Li (Ph.D. student), Daniel Boley (professor), Clark C Chen, Ju Sun (assistant professor)
Neurosurgery
Grades of Trust in Multiparty Computation [preprint]
Posted
Jaskaran Veer Singh (Ph.D. student), Nicholas Hopper (professor)
Unlocking Inverse Problems Using Deep Learning: Breaking Symmetries in Phase Retrieval [conference paper]
Posted
Kshitij Tayal (Ph.D. student), Chieh-Hsin Lai, Raunak Manekar (Ph.D. student), Zhong Zhuang, Vipin Kumar (professor), Ju Sun (assistant professor)
34th Conference on Neural Information Processing Systems (NeurIPS) 2020
Gradient Boosted Normalizing Flows [conference paper]
Posted
Robert Giaquinto (Ph.D. student), Arindam Banerjee (professor)
34th Conference on Neural Information Processing Systems (NeurIPS)
Teaching deep learning causal effects improves predictive performance [preprint]
Posted
Jia Li (Ph.D. student), Xiaowei Jia (Ph.D. 2020), Haoyu Yang (Ph.D. student), Vipin Kumar (professor), Michael Steinbach (researcher), Gyorgy Simon (Ph.D. 2008)
Multilevel graph-based methods for efficient data exploration [research project]
Posted
Yousef Saad (professor)
National Science Foundation
Rethink Autoencoders: Robust Manifold Learning [conference paper]
Posted
Taihui Li (Ph.D. student), Rishabh Mehta (M.S. student), Zecheng Qian (undergrad research assistant), Ju Sun (assistant professor)
ICML workshop on Uncertainty and Robustness in Deep Learning