Bayesian Methods Research Group

from Moscow, Russia

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Ekaterina Lobacheva

Recent Publications

  • On Power Laws in Deep Ensembles (NeurIPS 2020)
  • On Power Laws in Deep Ensembles (2020)
  • Structured Sparsification of Gated Recurrent Neural Networks (AAAI 2020)
  • Structured Sparsification of Gated Recurrent Neural Networks (2019)
  • Bayesian Sparsification of Gated Recurrent Neural Networks (2018)
  • Bayesian Compression for Natural Language Processing (2018)
  • Monotonic models for real-time dynamic malware detection (2018)
  • Bayesian Sparsification of Recurrent Neural Networks (2017)
  • Semantic embeddings for program behaviour patterns (2017)
  • Deep Part-Based Generative Shape Model with Latent Variables (2016)
  • Joint Optimization of Segmentation and Color Clustering (2015)
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