Bayesian Methods Research Group

from Moscow, Russia

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Daniil Polykovskiy

Recent Publications

  • Deterministic Decoding for Discrete Data in Variational Autoencoders (AISTATS 2020)
  • A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models (NeurIPS 2019)
  • Deep learning enables rapid identification of potent DDR1 kinase inhibitors (2019)
  • Subset-Conditioned Generation Using Variational Autoencoder With A Learnable Tensor-Train Induced Prior (2018)
  • Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery (2018)
  • Concorde: Morphological Agreement in Conversational Models (2018)
  • ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks (2018)
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