Navdeep Jaitly
Google Publications
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Navdeep Jaitly, David Sussillo, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, Samy Bengio
NIPS 2016 (2016) (to appear)
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Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow
International Conference on Learning Representations (2016) (to appear)
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Listen, Attend and Spell: A Neural Network for Large Vocabulary Conversational Speech Recognition
William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
ICASSP (2016)
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A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton
CoRR, vol. abs/1504.00941 (2015)
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An Online Sequence-to-Sequence Model Using Partial Conditioning
Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Samy Bengio
ARXIV (2015)
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Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam M. Shazeer
Advances in Neural Information Processing Systems, NIPS (2015)
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Application Of Pretrained Deep Neural Networks To Large Vocabulary Speech Recognition
Navdeep Jaitly, Patrick Nguyen, Andrew Senior, Vincent Vanhoucke
Proceedings of Interspeech 2012
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Deep Neural Networks for Acoustic Modeling in Speech Recognition
Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara Sainath, Brian Kingsbury
Signal Processing Magazine (2012)
Previous Publications
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Listen, Attend and Spell
William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
CoRR, vol. abs/1508.01211 (2015)
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Object Recognition from Short Videos for Robotic Perception
Ivan Bogun, Anelia Angelova, Navdeep Jaitly
CoRR, vol. abs/1509.01602 (2015)
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Pointer Networks
Oriol Vinyals, Meire Fortunato, Navdeep Jaitly
CoRR, vol. abs/1506.03134 (2015)
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Pointer Networks
Oriol Vinyals, Meire Fortunato, Navdeep Jaitly
NIPS (2015), pp. 2692-2700
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Autoregressive Product of Multi-frame Predictions Can Improve the Accuracy of Hybrid Models
Navdeep Jaitly, Vincent Vanhoucke, Geoffrey Hinton
Proceedings of Interspeech 2014
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Multi-task Neural Networks for QSAR Predictions
George E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov
CoRR, vol. abs/1406.1231 (2014)
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Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks
Soumik Sarkar, Vivek Venugopalan, Kishore Reddy, Michael Giering, Julian Ryde, Navdeep Jaitly
CoRR, vol. abs/1412.7007 (2014)
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Towards End-To-End Speech Recognition with Recurrent Neural Networks
Alex Graves, Navdeep Jaitly
ICML (2014), pp. 1764-1772
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Hybrid speech recognition with Deep Bidirectional LSTM
Alex Graves, Navdeep Jaitly, Abdel-rahman Mohamed
ASRU (2013), pp. 273-278
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MultiAlign: a multiple LC-MS analysis tool for targeted omics analysis
Brian L. LaMarche, Kevin L. Crowell, Navdeep Jaitly, Vladislav A. Petyuk, Anuj R. Shah, Ashoka D. Polpitiya, John D. Sandoval, Gary R. Kiebel, Matthew E. Monroe, Stephen J. Callister, Thomas O. Metz, Gordon A. Anderson, Richard D. Smith
BMC Bioinformatics, vol. 14 (2013), pp. 49
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Using an autoencoder with deformable templates to discover features for automated speech recognition
Navdeep Jaitly, Geoffrey E. Hinton
INTERSPEECH (2013), pp. 1737-1740
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Learning a better representation of speech soundwaves using restricted boltzmann machines
Navdeep Jaitly, Geoffrey E. Hinton
ICASSP (2011), pp. 5884-5887
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Normalizing Molecular Docking Rankings using Virtually Generated Decoys
Izhar Wallach, Navdeep Jaitly, Kong T. Nguyen, Matthieu Schapira, Ryan H. Lilien
Journal of Chemical Information and Modeling, vol. 51 (2011), pp. 1817-1830
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A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy
Navdeep Jaitly, Marcus A. Brubaker, John L. Rubinstein, Ryan H. Lilien
Bioinformatics, vol. 26 (2010), pp. 2406-2415
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Applications in Data-Intensive Computing
Anuj R. Shah, Joshua N. Adkins, Douglas J. Baxter, William R. Cannon, Daniel G. Chavarría-Miranda, Sutanay Choudhury, Ian Gorton, Deborah K. Gracio, Todd D. Halter, Navdeep Jaitly, John R. Johnson, Richard T. Kouzes, Matthew C. Macduff, Andrès Márquez, Matthew E. Monroe, Christopher S. Oehmen, William A. Pike, Chad Scherrer, Oreste Villa, Bobbie-Jo M. Webb-Robertson, Paul D. Whitney, Nino Zuljevic
Advances in Computers, vol. 79 (2010), pp. 1-70
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An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry
Anuj R. Shah, Navdeep Jaitly, Nino Zuljevic, Matthew E. Monroe, Andrei Liyu, Ashoka D. Polpitiya, Joshua N. Adkins, Mikhail E. Belov, Gordon A. Anderson, Richard D. Smith, Ian Gorton
eScience (2009), pp. 88-93
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Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data
Navdeep Jaitly, Anoop M. Mayampurath, Kyle Littlefield, Joshua N. Adkins, Gordon A. Anderson, Richard D. Smith
BMC Bioinformatics, vol. 10 (2009)
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DAnTE: a statistical tool for quantitative analysis of -omics data
Ashoka D. Polpitiya, Wei-Jun Qian, Navdeep Jaitly, Vladislav A. Petyuk, Joshua N. Adkins, David G. Camp II, Gordon A. Anderson, Richard D. Smith
Bioinformatics, vol. 24 (2008), pp. 1556-1558
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DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra
Anoop M. Mayampurath, Navdeep Jaitly, Samuel O. Purvine, Matthew E. Monroe, Kenneth J. Auberry, Joshua N. Adkins, Richard D. Smith
Bioinformatics, vol. 24 (2008), pp. 1021-1023
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VIPER: an advanced software package to support high-throughput LC-MS peptide identification
Matthew E. Monroe, Nikola Tolic, Navdeep Jaitly, Jason L. Shaw, Joshua N. Adkins, Richard D. Smith
Bioinformatics, vol. 23 (2007), pp. 2021-2023











