Bálint Gyires-Tóth
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About me
I conduct research on fundamental and applied machine learning since 2007. I obtained my PhD degree with summa cum laude in January 2014. Since then my primary research field is deep learning. I carry out research on time series modeling with recurrent and convolutional neural networks; on effective training of residual, highway and dense architectures; on introducing a priori knowledge to deep neural networks and on deep reinforcement learning. I also participate in applied deep learning projects, like time series classification and forecast, image and audio classification and natural language processing. I was involved in various successful research and industrial projects. In 2017 I was certified as NVidia Deep Learning Institute (DLI) Instructor and University Ambassador.
Budapest University of Technology and Economics
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