Navdeep Jaitly

According to our database, Navdeep Jaitly authored at least 84 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP.

Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Josh Susskind

CoRR, 2024

DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation.

Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Josh M. Susskind, Shuangfei Zhai

CoRR, 2024

Achieving Human Level Competitive Robot Table Tennis.

David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi

CoRR, 2024

dMel: Speech Tokenization made Simple.

He Bai, Tatiana Likhomanenko, Ruixiang Zhang, Zijin Gu, Zakaria Aldeneh, Navdeep Jaitly

CoRR, 2024

Improving GFlowNets for Text-to-Image Diffusion Alignment.

Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai

CoRR, 2024

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling.

Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind

CoRR, 2024

Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition.

Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly

CoRR, 2024

How Far Are We from Intelligent Visual Deductive Reasoning?

Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly

CoRR, 2024

REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation.

Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Swallowing the Bitter Pill: Simplified Scalable Conformer Generation.

Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Matryoshka Diffusion Models.

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Divide-or-Conquer? Which Part Should You Distill Your LLM?

Zhuofeng Wu, Richard He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation.

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling.

Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games.

Yizhe Zhang, Jiarui Lu, Navdeep Jaitly

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know.

Shangshang Zheng, He Bai, Yizhe Zhang, Yi Su, Xiaochuan Niu, Navdeep Jaitly

CoRR, 2023

Generating Molecular Conformer Fields.

Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista

CoRR, 2023

The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs.

Yizhe Zhang, Jiarui Lu, Navdeep Jaitly

CoRR, 2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

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

CoRR, 2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model.

Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Continuous pseudo-labeling from the start.

Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko

Proceedings of the Eleventh International Conference on Learning Representations, 2023

More Speaking or More Speakers?

Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Understanding the Robustness of Multi-Exit Models under Common Corruptions.

Akshay Mehra, Skyler Seto, Navdeep Jaitly, Barry-John Theobald

CoRR, 2022

Position Prediction as an Effective Pretraining Strategy.

Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind

Proceedings of the International Conference on Machine Learning, 2022

Efficient Representation Learning via Adaptive Context Pooling.

Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M. Susskind

Proceedings of the International Conference on Machine Learning, 2022

Continuous Soft Pseudo-Labeling in ASR.

Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio

Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

2021

RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions.

Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

2020

Robotic Table Tennis with Model-Free Reinforcement Learning.

Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Imputer: Sequence Modelling via Imputation and Dynamic Programming.

William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong.

Steven Schwarcz, Peng Xu, David B. D'Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly

CoRR, 2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.

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

CoRR, 2019

2018

Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play.

Reza Mahjourian, Navdeep Jaitly, Nevena Lazic, Sergey Levine, Risto Miikkulainen

CoRR, 2018

Speech Recognition for Medical Conversations.

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

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions.

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

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Hard Alignments with Variational Inference.

Dieterich Lawson, Chung-Cheng Chiu, George Tucker, Colin Raffel, Kevin Swersky, Navdeep Jaitly

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

State-of-the-Art Speech Recognition with Sequence-to-Sequence Models.

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

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames.

Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Julian Ryde, Navdeep Jaitly, Michael Giering

J. Signal Process. Syst., 2017

Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech.

Ron J. Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, Zhifeng Chen

CoRR, 2017

Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model.

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

CoRR, 2017

Discrete Sequential Prediction of Continuous Actions for Deep RL.

Luke Metz, Julian Ibarz, Navdeep Jaitly, James Davidson

CoRR, 2017

An online sequence-to-sequence model for noisy speech recognition.

Chung-Cheng Chiu, Dieterich Lawson, Yuping Luo, George Tucker, Kevin Swersky, Ilya Sutskever, Navdeep Jaitly

CoRR, 2017

Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction.

Akosua Busia, Navdeep Jaitly

CoRR, 2017

Sequence-to-Sequence Models Can Directly Translate Foreign Speech.

Ron J. Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, Zhifeng Chen

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Tacotron: Towards End-to-End Speech Synthesis.

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

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

An RNN Model of Text Normalization.

Richard Sproat, Navdeep Jaitly

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

An Analysis of "Attention" in Sequence-to-Sequence Models.

Rohit Prabhavalkar, Tara N. Sainath, Bo Li, Kanishka Rao, Navdeep Jaitly

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

A Comparison of Sequence-to-Sequence Models for Speech Recognition.

Rohit Prabhavalkar, Kanishka Rao, Tara N. Sainath, Bo Li, Leif Johnson, Navdeep Jaitly

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Towards Better Decoding and Language Model Integration in Sequence to Sequence Models.

Jan Chorowski, Navdeep Jaitly

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Latent Sequence Decompositions.

William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly

Proceedings of the 5th International Conference on Learning Representations, 2017

Very deep convolutional networks for end-to-end speech recognition.

Yu Zhang, William Chan, Navdeep Jaitly

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning online alignments with continuous rewards policy gradient.

Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

RNN Approaches to Text Normalization: A Challenge.

Richard Sproat, Navdeep Jaitly

CoRR, 2016

Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning.

Akosua Busia, Jasmine Collins, Navdeep Jaitly

CoRR, 2016

Reward Augmented Maximum Likelihood for Neural Structured Prediction.

Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

An Online Sequence-to-Sequence Model Using Partial Conditioning.

Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, David Sussillo, Samy Bengio

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Listen, attend and spell: A neural network for large vocabulary conversational speech recognition.

William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Chained Predictions Using Convolutional Neural Networks.

Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly

Proceedings of the Computer Vision - ECCV 2016, 2016

Deep Discriminative and Generative Models for speech Pattern Recognition.

Li Deng, Navdeep Jaitly

Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016

2015

Exploring Deep Learning Methods for Discovering Features in Speech Signals.

Navdeep Jaitly

PhD thesis, 2015

Adversarial Autoencoders.

Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian J. Goodfellow

CoRR, 2015

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units.

Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton

CoRR, 2015

An Online Sequence-to-Sequence Model Using Partial Conditioning.

Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, Samy Bengio

CoRR, 2015

Listen, Attend and Spell.

William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals

CoRR, 2015

Object Recognition from Short Videos for Robotic Perception.

Ivan Bogun, Anelia Angelova, Navdeep Jaitly

CoRR, 2015

Pointer Networks.

Oriol Vinyals, Meire Fortunato, Navdeep Jaitly

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.

Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks.

Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Michael Giering, Julian Ryde, Navdeep Jaitly

CoRR, 2014

Multi-task Neural Networks for QSAR Predictions.

George E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov

CoRR, 2014

Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models.

Navdeep Jaitly, Vincent Vanhoucke, Geoffrey E. Hinton

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Towards End-To-End Speech Recognition with Recurrent Neural Networks.

Alex Graves, Navdeep Jaitly

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

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 Bioinform., 2013

Using an autoencoder with deformable templates to discover features for automated speech recognition.

Navdeep Jaitly, Geoffrey E. Hinton

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Hybrid speech recognition with Deep Bidirectional LSTM.

Alex Graves, Navdeep Jaitly, Abdel-rahman Mohamed

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012

Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition.

Navdeep Jaitly, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

2011

Normalizing Molecular Docking Rankings using Virtually Generated Decoys.

Izhar Wallach, Navdeep Jaitly, Kong T. Nguyen, Matthieu Schapira, Ryan H. Lilien

J. Chem. Inf. Model., 2011

Learning a better representation of speech soundwaves using restricted boltzmann machines.

Navdeep Jaitly, Geoffrey E. Hinton

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

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

Bioinform., 2010

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

Adv. Comput., 2010

2009

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 Bioinform., 2009

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

Proceedings of the Fifth International Conference on e-Science, 2009

2008

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

Bioinform., 2008

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

Bioinform., 2008

2007

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

Bioinform., 2007