Institute of Information Theory and Automation

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  1. Ulrych Lukáš, Šmídl VáclavDEnFi: Deep Ensemble Filter for Active Learning, ÚTIA AV ČR, v.v.i, (Prague 2020) Research Report 2383 [2020] Download
  2. Šmídl Václav, Bím Jan, Pevný T.Orthogonal Approximation of Marginal Likelihood of Generative Models , Bayesian Deep Learning NeurIPS 2019 Workshop, NeurIPS 2019, (Vancouver, CA, 20191208) [2019] Download
  3. Mácha Václav, Adam Lukáš, Šmídl VáclavGeneral framework for binary nonlinear classification on top samples , Book of Abstracts of the 3rd International Conference and Summer School, Numerical Computations: Theory and Algorithms, p. 206-206 , Eds: Sergeyev Yaroslav D., Kvasov Dmitri E., Mukhametzhanov Marat S., Nasso Maria Chiara, NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS (NUMTA–2019), (Le Castella Village, IT, 20190615) [2019] Download
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