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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...
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10/30/2021
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
Dynamic quadruped locomotion over challenging terrains with precise foot...
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04/02/2018
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
In many environments only a tiny subset of all states yield high reward....
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03/26/2018
Light Gated Recurrent Units for Speech Recognition
A field that has directly benefited from the recent advances in deep lea...
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10/13/2017
Learning Independent Features with Adversarial Nets for Non-linear ICA
Reliable measures of statistical dependence could be useful tools for le...
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09/29/2017
Improving speech recognition by revising gated recurrent units
Speech recognition is largely taking advantage of deep learning, showing...
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03/24/2017
Batch-normalized joint training for DNN-based distant speech recognition
Improving distant speech recognition is a crucial step towards flexible ...
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03/23/2017
A network of deep neural networks for distant speech recognition
Despite the remarkable progress recently made in distant speech recognit...
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01/10/2017
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are effective models for reducing s...
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11/27/2016
Invariant Representations for Noisy Speech Recognition
Modern automatic speech recognition (ASR) systems need to be robust unde...
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10/05/2015
Batch Normalized Recurrent Neural Networks
Recurrent Neural Networks (RNNs) are powerful models for sequential data...
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08/18/2015
