Navdeep Jaitly

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 77

Top Venues

CoRR

INTERSPEECH

ICASSP

NIPS

Publications

Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang
Divide-or-Conquer? Which Part Should You Distill Your LLM? CoRR (2024)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly
Matryoshka Diffusion Models. ICLR (2024)
Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. CoRR (2024)
Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai
Improving GFlowNets for Text-to-Image Diffusion Alignment. CoRR (2024)
Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games. ACL (1) (2024)
Pratyush Maini, Skyler Seto, He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. CoRR (2024)
Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. ACL (1) (2024)
Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Joshua M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly
Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. LREC/COLING (2024)
Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
How Far Are We from Intelligent Visual Deductive Reasoning? CoRR (2024)
He Bai, Tatiana Likhomanenko, Ruixiang Zhang, Zijin Gu, Zakaria Aldeneh, Navdeep Jaitly
dMel: Speech Tokenization made Simple. CoRR (2024)
Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. WACV (2024)
Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. CoRR (2024)
Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko
Continuous pseudo-labeling from the start. ICLR (2023)
Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. CoRR (2023)
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. NeurIPS (2023)
Yuyang Wang, Ahmed A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista
Generating Molecular Conformer Fields. CoRR (2023)
Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs. CoRR (2023)
Shangshang Zheng, He Bai, Yizhe Zhang, Yi Su, Xiaochuan Niu, Navdeep Jaitly
KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know. CoRR (2023)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh M. Susskind, Navdeep Jaitly
Matryoshka Diffusion Models. CoRR (2023)
Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko
More Speaking or More Speakers? ICASSP (2023)
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. CoRR (2023)
David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan, Michael Ahn, Alex Bewley, Justin Boyd, Krzysztof Choromanski, Omar Cortes, Erwin Coumans, Tianli Ding, Wenbo Gao, Laura Graesser, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu
Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR (2023)
Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Josh M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. CoRR (2023)
David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser
Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems (2023)
Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M. Susskind
Efficient Representation Learning via Adaptive Context Pooling. ICML (2022)
Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko
More Speaking or More Speakers? CoRR (2022)
Akshay Mehra, Skyler Seto, Navdeep Jaitly, Barry-John Theobald
Understanding the Robustness of Multi-Exit Models under Common Corruptions. CoRR (2022)
Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio
Continuous Soft Pseudo-Labeling in ASR. CoRR (2022)
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
Position Prediction as an Effective Pretraining Strategy. ICML (2022)
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
Position Prediction as an Effective Pretraining Strategy. CoRR (2022)
Chen Huang, Walter Talbott, Navdeep Jaitly, Josh M. Susskind
Efficient Representation Learning via Adaptive Context Pooling. CoRR (2022)
Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio
Continuous Soft Pseudo-Labeling in ASR. ICBINB (2022)
Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko
Continuous Pseudo-Labeling from the Start. CoRR (2022)
Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. SLT (2021)
William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly
Imputer: Sequence Modelling via Imputation and Dynamic Programming. ICML (2020)
Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. CoRR (2020)
William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly
Imputer: Sequence Modelling via Imputation and Dynamic Programming. CoRR (2020)
Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
Robotic Table Tennis with Model-Free Reinforcement Learning. IROS (2020)
Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
Robotic Table Tennis with Model-Free Reinforcement Learning. CoRR (2020)
Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR (2019)
Steven Schwarcz, Peng Xu, David D'Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong. CoRR (2019)
Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, RJ-Skerrv Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. ICASSP (2018)
Reza Mahjourian, Navdeep Jaitly, Nevena Lazic, Sergey Levine, Risto Miikkulainen
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play. CoRR (2018)
Chung-Cheng Chiu, Anshuman Tripathi, Katherine Chou, Chris Co, Navdeep Jaitly, Diana Jaunzeikare, Anjuli Kannan, Patrick Nguyen, Hasim Sak, Ananth Sankar, Justin Tansuwan, Nathan Wan, Yonghui Wu, Xuedong Zhang
Speech Recognition for Medical Conversations. INTERSPEECH (2018)
Dieterich Lawson, Chung-Cheng Chiu, George Tucker, Colin Raffel, Kevin Swersky, Navdeep Jaitly
Learning Hard Alignments with Variational Inference. ICASSP (2018)
Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Ekaterina Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani
State-of-the-Art Speech Recognition with Sequence-to-Sequence Models. ICASSP (2018)
Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever
Learning online alignments with continuous rewards policy gradient. ICASSP (2017)
Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Katya Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani
State-of-the-art Speech Recognition With Sequence-to-Sequence Models. CoRR (2017)
Richard Sproat, Navdeep Jaitly
An RNN Model of Text Normalization. INTERSPEECH (2017)
Jan Chorowski, Navdeep Jaitly
Towards Better Decoding and Language Model Integration in Sequence to Sequence Models. INTERSPEECH (2017)
Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Julian Ryde, Navdeep Jaitly, Michael Giering
Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames. J. Signal Process. Syst. 88 (2) (2017)
Yuxuan Wang, R. J. Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc V. Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous
Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. CoRR (2017)
William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly
Latent Sequence Decompositions. ICLR (Poster) (2017)
Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. CoRR (2017)
Luke Metz, Julian Ibarz, Navdeep Jaitly, James Davidson
Discrete Sequential Prediction of Continuous Actions for Deep RL. CoRR (2017)
Chung-Cheng Chiu, Anshuman Tripathi, Katherine Chou, Chris Co, Navdeep Jaitly, Diana Jaunzeikare, Anjuli Kannan, Patrick Nguyen, Hasim Sak, Ananth Sankar, Justin Tansuwan, Nathan Wan, Yonghui Wu, Xuedong Zhang
Speech recognition for medical conversations. CoRR (2017)
Rohit Prabhavalkar, Tara N. Sainath, Bo Li, Kanishka Rao, Navdeep Jaitly
An Analysis of "Attention" in Sequence-to-Sequence Models. INTERSPEECH (2017)
Ron J. Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, Zhifeng Chen
Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech. CoRR (2017)
Ron J. Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, Zhifeng Chen
Sequence-to-Sequence Models Can Directly Translate Foreign Speech. INTERSPEECH (2017)
Akosua Busia, Navdeep Jaitly
Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction. CoRR (2017)
Chung-Cheng Chiu, Dieterich Lawson, Yuping Luo, George Tucker, Kevin Swersky, Ilya Sutskever, Navdeep Jaitly
An online sequence-to-sequence model for noisy speech recognition. CoRR (2017)
Dieterich Lawson, George Tucker, Chung-Cheng Chiu, Colin Raffel, Kevin Swersky, Navdeep Jaitly
Learning Hard Alignments with Variational Inference. CoRR (2017)
Yuxuan Wang, R. J. Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc V. Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous
Tacotron: Towards End-to-End Speech Synthesis. INTERSPEECH (2017)
Yu Zhang, William Chan, Navdeep Jaitly
Very deep convolutional networks for end-to-end speech recognition. ICASSP (2017)
Rohit Prabhavalkar, Kanishka Rao, Tara N. Sainath, Bo Li, Leif Johnson, Navdeep Jaitly
A Comparison of Sequence-to-Sequence Models for Speech Recognition. INTERSPEECH (2017)
Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly
Chained Predictions Using Convolutional Neural Networks. ECCV (4) (2016)
William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. ICASSP (2016)
Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, David Sussillo, Samy Bengio
An Online Sequence-to-Sequence Model Using Partial Conditioning. NIPS (2016)
Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever
Learning Online Alignments with Continuous Rewards Policy Gradient. CoRR (2016)
William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly
Latent Sequence Decompositions. CoRR (2016)
Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans
Reward Augmented Maximum Likelihood for Neural Structured Prediction. CoRR (2016)
Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly
Chained Predictions Using Convolutional Neural Networks. CoRR (2016)
Yu Zhang, William Chan, Navdeep Jaitly
Very Deep Convolutional Networks for End-to-End Speech Recognition. CoRR (2016)
Akosua Busia, Jasmine Collins, Navdeep Jaitly
Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning. CoRR (2016)
Jan Chorowski, Navdeep Jaitly
Towards better decoding and language model integration in sequence to sequence models. CoRR (2016)
Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans
Reward Augmented Maximum Likelihood for Neural Structured Prediction. NIPS (2016)
Richard Sproat, Navdeep Jaitly
RNN Approaches to Text Normalization: A Challenge. CoRR (2016)
Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian J. Goodfellow
Adversarial Autoencoders. CoRR (2015)
Oriol Vinyals, Meire Fortunato, Navdeep Jaitly
Pointer Networks. CoRR (2015)
Oriol Vinyals, Meire Fortunato, Navdeep Jaitly
Pointer Networks. NIPS (2015)
Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units. CoRR (2015)
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. CoRR (2015)
Ivan Bogun, Anelia Angelova, Navdeep Jaitly
Object Recognition from Short Videos for Robotic Perception. CoRR (2015)
Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, Samy Bengio
An Online Sequence-to-Sequence Model Using Partial Conditioning. CoRR (2015)
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. NIPS (2015)
William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
Listen, Attend and Spell. CoRR (2015)
Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Michael Giering, Julian Ryde, Navdeep Jaitly
Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks. CoRR (2014)
Navdeep Jaitly, Vincent Vanhoucke, Geoffrey E. Hinton
Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models. INTERSPEECH (2014)
George E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov
Multi-task Neural Networks for QSAR Predictions. CoRR (2014)
Alex Graves, Navdeep Jaitly
Towards End-To-End Speech Recognition with Recurrent Neural Networks. ICML (2014)
Navdeep Jaitly, Geoffrey E. Hinton
Using an autoencoder with deformable templates to discover features for automated speech recognition. INTERSPEECH (2013)
Alex Graves, Navdeep Jaitly, Abdel-rahman Mohamed
Hybrid speech recognition with Deep Bidirectional LSTM. ASRU (2013)
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
MultiAlign: a multiple LC-MS analysis tool for targeted omics analysis. BMC Bioinform. 14 (2013)
Navdeep Jaitly, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke
Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition. INTERSPEECH (2012)
Navdeep Jaitly, Geoffrey E. Hinton
Learning a better representation of speech soundwaves using restricted boltzmann machines. ICASSP (2011)
Izhar Wallach, Navdeep Jaitly, Kong T. Nguyen, Matthieu Schapira, Ryan H. Lilien
Normalizing Molecular Docking Rankings using Virtually Generated Decoys. J. Chem. Inf. Model. 51 (8) (2011)
Navdeep Jaitly, Marcus A. Brubaker, John L. Rubinstein, Ryan H. Lilien
A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy. Bioinform. 26 (19) (2010)
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
Applications in Data-Intensive Computing. Adv. Comput. 79 (2010)
Navdeep Jaitly, Anoop M. Mayampurath, Kyle Littlefield, Joshua N. Adkins, Gordon A. Anderson, Richard D. Smith
Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data. BMC Bioinform. 10 (2009)
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
An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry. eScience (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Navdeep Jaitly