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cs.LG2023
A Unified Framework for Discovering Discrete Symmetries
Pavan Karjol, Rohan Kashyap, Aditya Gopalan +1
We consider the problem of learning a function respecting a symmetry from among a class of symmetries. We develop a unified framework that enables symmetry discovery across a broad…
cs.LG2023★ 1 cited
Bayesian Pseudo-Coresets via Contrastive Divergence
Piyush Tiwary, Kumar Shubham, Vivek V. Kashyap +1
Bayesian methods provide an elegant framework for estimating parameter posteriors and quantification of uncertainty associated with probabilistic models. However, they often suffer…