Philemon Brakel | DeepAI

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∙ 03/31/2022

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors

We investigate the use of prior knowledge of human and animal movement t...

0 Steven Bohez, et al. ∙

∙ 10/30/2021

Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner

Dynamic quadruped locomotion over challenging terrains with precise foot...

5 Philemon Brakel, et al. ∙

∙ 04/02/2018

Recall Traces: Backtracking Models for Efficient Reinforcement Learning

In many environments only a tiny subset of all states yield high reward....

0 Anirudh Goyal, et al. ∙

∙ 03/26/2018

Light Gated Recurrent Units for Speech Recognition

A field that has directly benefited from the recent advances in deep lea...

0 Mirco Ravanelli, et al. ∙

∙ 10/13/2017

Learning Independent Features with Adversarial Nets for Non-linear ICA

Reliable measures of statistical dependence could be useful tools for le...

0 Philemon Brakel, et al. ∙

∙ 09/29/2017

Improving speech recognition by revising gated recurrent units

Speech recognition is largely taking advantage of deep learning, showing...

0 Mirco Ravanelli, et al. ∙

∙ 03/24/2017

Batch-normalized joint training for DNN-based distant speech recognition

Improving distant speech recognition is a crucial step towards flexible ...

0 Mirco Ravanelli, et al. ∙

∙ 03/23/2017

A network of deep neural networks for distant speech recognition

Despite the remarkable progress recently made in distant speech recognit...

0 Mirco Ravanelli, et al. ∙

∙ 01/10/2017

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

Convolutional Neural Networks (CNNs) are effective models for reducing s...

0 Ying Zhang, et al. ∙

∙ 11/27/2016

Invariant Representations for Noisy Speech Recognition

Modern automatic speech recognition (ASR) systems need to be robust unde...

0 Dmitriy Serdyuk, et al. ∙

∙ 10/05/2015

Batch Normalized Recurrent Neural Networks

Recurrent Neural Networks (RNNs) are powerful models for sequential data...

0 César Laurent, et al. ∙

∙ 08/18/2015

End-to-End Attention-based Large Vocabulary Speech Recognition

Many of the current state-of-the-art Large Vocabulary Continuous Speech ...

0 Dzmitry Bahdanau, et al. ∙