no code implementations • 14 Feb 2023 • Raghav Singhal, Mark Goldstein, Rajesh Ranganath
For example, extending the inference process with auxiliary variables leads to improved sample quality.
no code implementations • 27 Jan 2023 • Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra
We hypothesise that the disease classification task can be solved using a very small tailored subset of k-space data, compared to image reconstruction.
no code implementations • 9 Apr 2019 • Raghav Singhal, Xintian Han, Saad Lahlou, Rajesh Ranganath
We introduce kernelized complete conditional Stein discrepancies (KCC-SDs).