1 citations · 3 across the 10 of their papers we have counts for
11 papers
Myosotis: structured computation for attention like layer
Evgenii Egorov, Hanno Ackermann, Markus Nagel +1
Attention layers apply a sequence-to-sequence mapping whose parameters depend on the pairwise interactions of the input elements. However, without any structural assumptions, memor…
Equivariant Machine Learning Decoder for 3D Toric Codes
Oliver Weissl, Evgenii Egorov
Mitigating errors in computing and communication systems has seen a great deal of research since the beginning of the widespread use of these technologies. However, as we develop n…
Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps
Evgenii Egorov, Ricardo Valperga, Efstratios Gavves
Markov chain Monte Carlo methods have become popular in statistics as versatile techniques to sample from complicated probability distributions. In this work, we propose a method t…
The END: An Equivariant Neural Decoder for Quantum Error Correction
Evgenii Egorov, Roberto Bondesan, Max Welling
Quantum error correction is a critical component for scaling up quantum computing. Given a quantum code, an optimal decoder maps the measured code violations to the most likely err…
Involutive MCMC: a Unifying Framework
Kirill Neklyudov, Max Welling, Evgenii Egorov +1
Markov Chain Monte Carlo (MCMC) is a computational approach to fundamental problems such as inference, integration, optimization, and simulation. The field has developed a broad sp…
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Anna Kuzina, Evgenii Egorov, Evgeny Burnaev
Automatic segmentation methods based on deep learning have recently demonstrated state-of-the-art performance, outperforming the ordinary methods. Nevertheless, these methods are i…