Search Results for author: Mariya Popova

Found 4 papers, 3 papers with code

Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model

no code implementations • 23 Oct 2019 • Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg

In this work, we introduce a simple yet efficient post-processing model for automatic speech recognition (ASR).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

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NeMo: a toolkit for building AI applications using Neural Modules

1 code implementation • 14 Sep 2019 • Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, Jonathan M. Cohen

NeMo (Neural Modules) is a Python framework-agnostic toolkit for creating AI applications through re-usability, abstraction, and composition.

Ranked #1 on Speech Recognition on Common Voice Spanish (using extra training data)

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

10,045

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MolecularRNN: Generating realistic molecular graphs with optimized properties

2 code implementations • 31 May 2019 • Mariya Popova, Mykhailo Shvets, Junier Oliva, Olexandr Isayev

Designing new molecules with a set of predefined properties is a core problem in modern drug discovery and development.

Ranked #1 on Molecular Graph Generation on MOSES

Drug Discovery Molecular Graph Generation

15

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Deep Reinforcement Learning for De-Novo Drug Design

1 code implementation • 29 Nov 2017 • Mariya Popova, Olexandr Isayev, Alexander Tropsha

In the first phase of the method, generative and predictive models are trained separately with a supervised learning algorithm.

reinforcement-learning Reinforcement Learning (RL)

341

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