14 citations · 37 across the 6 of their papers we have counts for
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cs.LG2022★ 14 cited
The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling
Radostin Cholakov, Todor Kolev
There is an increasing interest in the application of deep learning architectures to tabular data. One of the state-of-the-art solutions is TabTransformer which incorporates an att…
cs.LG2021★ 11 cited
Transformers predicting the future. Applying attention in next-frame and time series forecasting
Radostin Cholakov, Todor Kolev
Recurrent Neural Networks were, until recently, one of the best ways to capture the timely dependencies in sequences. However, with the introduction of the Transformer, it has been…
cs.LG2019
Distributed creation of Machine learning agents for Blockchain analysis
Zvezdin Besarabov, Todor Kolev
Creating efficient deep neural networks involves repetitive manual optimization of the topology and the hyperparameters. This human intervention significantly inhibits the process.…