Alisa Sheinkman

PhD candidate at the University of Edinburgh.

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That's me.

I am a 4th year PhD student working under the supervision of Sara Wade. My research aims to develop advances in Bayesian deep modelling. Mainly, I focus on efficient inference schemes and appropriate priors’ choices for the data-driven design of the model’s architecture.

Publications

Variational Bayesian Bow tie Neural Networks with Shrinkage, A. Sheinkman, S. Wade, arXiv:2411.11132, 2024. Corresponding code.

Deep learning techniques for noise annoyance detection: results from an intensive workshop at the alan turing institute, A. Mitchell, E. Brown, R. Deo, Y. Hou, J. Kirton-Wingate, J. Liang, A. Sheinkman, C. Soelistyo, H. Sood, and A. Wongprommoon The Journal of the Acoustical Society of America, 153(3_supplement): A262-A262, 2023.