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)

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)

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)

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)

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)

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; et al. (Adv. Comput., 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)

Learning a better representation of speech soundwaves using restricted boltzmann machines. - Navdeep Jaitly; Geoffrey E. Hinton (ICASSP, 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)

Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition. - Navdeep Jaitly; Patrick Nguyen; Andrew W. Senior; Vincent Vanhoucke (INTERSPEECH, 2012)

Hybrid speech recognition with Deep Bidirectional LSTM. - Alex Graves; Navdeep Jaitly; Abdel-rahman Mohamed (ASRU, 2013)

Using an autoencoder with deformable templates to discover features for automated speech recognition. - Navdeep Jaitly; Geoffrey E. Hinton (INTERSPEECH, 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; et al. (BMC Bioinform., 2013)

Towards End-To-End Speech Recognition with Recurrent Neural Networks. - Alex Graves; Navdeep Jaitly (ICML, 2014)

Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models. - Navdeep Jaitly; Vincent Vanhoucke; Geoffrey E. Hinton (INTERSPEECH, 2014)

Multi-task Neural Networks for QSAR Predictions. - George E. Dahl; Navdeep Jaitly; Ruslan Salakhutdinov (CoRR, 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)

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. - Samy Bengio; Oriol Vinyals; Navdeep Jaitly; Noam Shazeer (NIPS, 2015)

Pointer Networks. - Oriol Vinyals; Meire Fortunato; Navdeep Jaitly (NIPS, 2015)

Object Recognition from Short Videos for Robotic Perception. - Ivan Bogun; Anelia Angelova; Navdeep Jaitly (CoRR, 2015)

Listen, Attend and Spell. - William Chan; Navdeep Jaitly; Quoc V. Le; Oriol Vinyals (CoRR, 2015)

An Online Sequence-to-Sequence Model Using Partial Conditioning. - Navdeep Jaitly; Quoc V. Le; Oriol Vinyals; Ilya Sutskever; Samy Bengio (CoRR, 2015)

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units. - Quoc V. Le; Navdeep Jaitly; Geoffrey E. Hinton (CoRR, 2015)

Adversarial Autoencoders. - Alireza Makhzani; Jonathon Shlens; Navdeep Jaitly; Ian J. Goodfellow (CoRR, 2015)

Exploring Deep Learning Methods for Discovering Features in Speech Signals. - Navdeep Jaitly (2015)

Deep Discriminative and Generative Models for speech Pattern Recognition. - Li Deng; Navdeep Jaitly (Handbook of Pattern Recognition and Computer Vision, 2016)

Chained Predictions Using Convolutional Neural Networks. - Georgia Gkioxari; Alexander Toshev; Navdeep Jaitly (ECCV (4), 2016)

Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. - William Chan; Navdeep Jaitly; Quoc V. Le; Oriol Vinyals (ICASSP, 2016)

An Online Sequence-to-Sequence Model Using Partial Conditioning. - Navdeep Jaitly; Quoc V. Le; Oriol Vinyals; Ilya Sutskever; David Sussillo; Samy Bengio (NIPS, 2016)

Reward Augmented Maximum Likelihood for Neural Structured Prediction. - Mohammad Norouzi 002; Samy Bengio; Zhifeng Chen; Navdeep Jaitly; Mike Schuster; Yonghui Wu; Dale Schuurmans (NIPS, 2016)

Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning. - Akosua Busia; Jasmine Collins; Navdeep Jaitly (CoRR, 2016)

RNN Approaches to Text Normalization: A Challenge. - Richard Sproat; Navdeep Jaitly (CoRR, 2016)

Learning online alignments with continuous rewards policy gradient. - Yuping Luo; Chung-Cheng Chiu; Navdeep Jaitly; Ilya Sutskever (ICASSP, 2017)

Very deep convolutional networks for end-to-end speech recognition. - Yu Zhang; William Chan; Navdeep Jaitly (ICASSP, 2017)

Latent Sequence Decompositions. - William Chan; Yu Zhang 033; Quoc V. Le; Navdeep Jaitly (ICLR (Poster), 2017)

Towards Better Decoding and Language Model Integration in Sequence to Sequence Models. - Jan Chorowski; Navdeep Jaitly (INTERSPEECH, 2017)

A Comparison of Sequence-to-Sequence Models for Speech Recognition. - Rohit Prabhavalkar; Kanishka Rao; Tara N. Sainath; Bo Li 028; Leif Johnson; Navdeep Jaitly (INTERSPEECH, 2017)

An Analysis of "Attention" in Sequence-to-Sequence Models. - Rohit Prabhavalkar; Tara N. Sainath; Bo Li 028; Kanishka Rao; Navdeep Jaitly (INTERSPEECH, 2017)

An RNN Model of Text Normalization. - Richard Sproat; Navdeep Jaitly (INTERSPEECH, 2017)

Tacotron: Towards End-to-End Speech Synthesis. - Yuxuan Wang 002; 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; et al. (INTERSPEECH, 2017)

Sequence-to-Sequence Models Can Directly Translate Foreign Speech. - Ron J. Weiss; Jan Chorowski; Navdeep Jaitly; Yonghui Wu; Zhifeng Chen (INTERSPEECH, 2017)

Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction. - Akosua Busia; Navdeep Jaitly (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)

Discrete Sequential Prediction of Continuous Actions for Deep RL. - Luke Metz; Julian Ibarz; Navdeep Jaitly; James Davidson (CoRR, 2017)

Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. - Yuxuan Wang 002; 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; et al. (CoRR, 2017)

Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech. - Ron J. Weiss; Jan Chorowski; Navdeep Jaitly; Yonghui Wu; Zhifeng Chen (CoRR, 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)

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 028; et al. (ICASSP, 2018)

Learning Hard Alignments with Variational Inference. - Dieterich Lawson; Chung-Cheng Chiu; George Tucker; Colin Raffel; Kevin Swersky; Navdeep Jaitly (ICASSP, 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 033; Yuxuan Wang 002; R. J. Skerry-Ryan; Rif A. Saurous; Yannis Agiomyrgiannakis; et al. (ICASSP, 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; et al. (INTERSPEECH, 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)

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 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong. - Steven Schwarcz; Peng Xu 010; David B. D'Ambrosio; Juhana Kangaspunta; Anelia Angelova; Huong Phan; Navdeep Jaitly (CoRR, 2019)

Imputer: Sequence Modelling via Imputation and Dynamic Programming. - William Chan; Chitwan Saharia; Geoffrey E. Hinton; Mohammad Norouzi 002; Navdeep Jaitly (ICML, 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 (IROS, 2020)

RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. - Chung-Cheng Chiu; Arun Narayanan; Wei Han 002; Rohit Prabhavalkar; Yu Zhang 033; Navdeep Jaitly; Ruoming Pang; Tara N. Sainath; Patrick Nguyen; Liangliang Cao; Yonghui Wu (SLT, 2021)

Continuous Soft Pseudo-Labeling in ASR. - Tatiana Likhomanenko; Ronan Collobert; Navdeep Jaitly; Samy Bengio (ICBINB, 2022)

Efficient Representation Learning via Adaptive Context Pooling. - Chen Huang 001; Walter Talbott; Navdeep Jaitly; Joshua M. Susskind (ICML, 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 001; Hanlin Goh; Joshua M. Susskind (ICML, 2022)

Understanding the Robustness of Multi-Exit Models under Common Corruptions. - Akshay Mehra; Skyler Seto; Navdeep Jaitly; Barry-John Theobald (CoRR, 2022)

More Speaking or More Speakers? - Dan Berrebbi; Ronan Collobert; Navdeep Jaitly; Tatiana Likhomanenko (ICASSP, 2023)

Continuous pseudo-labeling from the start. - Dan Berrebbi; Ronan Collobert; Samy Bengio; Navdeep Jaitly; Tatiana Likhomanenko (ICLR, 2023)

PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. - Yizhe Zhang 002; Jiatao Gu; Zhuofeng Wu 001; Shuangfei Zhai; Joshua M. Susskind; Navdeep Jaitly (NeurIPS, 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 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 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; et al. (CoRR, 2023)

The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs. - Yizhe Zhang 002; Jiarui Lu; Navdeep Jaitly (CoRR, 2023)

Generating Molecular Conformer Fields. - Yuyang Wang; Ahmed A. A. Elhag; Navdeep Jaitly; Joshua M. Susskind; Miguel Ángel Bautista 001 (CoRR, 2023)

KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know. - Shangshang Zheng; He Bai 002; Yizhe Zhang 002; Yi Su; Xiaochuan Niu; Navdeep Jaitly (CoRR, 2023)

Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games. - Yizhe Zhang 002; Jiarui Lu; Navdeep Jaitly (ACL (1), 2024)

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. - Pratyush Maini; Skyler Seto; Richard He Bai; David Grangier; Yizhe Zhang 002; Navdeep Jaitly (ACL (1), 2024)

Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. - Ali Mousavi 003; Xin Zhan; He Bai 002; Peng Shi 010; Theodoros Rekatsinas; Benjamin Han; Yunyao Li 001; Jeffrey Pound; Joshua M. Susskind; Natalie Schluter; Ihab F. Ilyas; Navdeep Jaitly (LREC/COLING, 2024)

Divide-or-Conquer? Which Part Should You Distill Your LLM? - Zhuofeng Wu 001; Richard He Bai; Aonan Zhang; Jiatao Gu; V. G. Vinod Vydiswaran; Navdeep Jaitly; Yizhe Zhang 002 (EMNLP (Findings), 2024)

Matryoshka Diffusion Models. - Jiatao Gu; Shuangfei Zhai; Yizhe Zhang 002; Joshua M. Susskind; Navdeep Jaitly (ICLR, 2024)

Swallowing the Bitter Pill: Simplified Scalable Conformer Generation. - Yuyang Wang; Ahmed A. A. Elhag; Navdeep Jaitly; Joshua M. Susskind; Miguel Ángel Bautista 001 (ICML, 2024)

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. - Chen Huang 001; Skyler Seto; Samira Abnar; David Grangier; Navdeep Jaitly; Joshua M. Susskind (NeurIPS, 2024)

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. - Jiatao Gu; Ying Shen 006; Shuangfei Zhai; Yizhe Zhang 002; Navdeep Jaitly; Joshua M. Susskind (NeurIPS, 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 (WACV, 2024)

How Far Are We from Intelligent Visual Deductive Reasoning? - Yizhe Zhang 002; He Bai 002; Ruixiang Zhang; Jiatao Gu; Shuangfei Zhai; Josh M. Susskind; Navdeep Jaitly (CoRR, 2024)

Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. - Zijin Gu; Tatiana Likhomanenko; He Bai 002; Erik McDermott; Ronan Collobert; Navdeep Jaitly (CoRR, 2024)

dMel: Speech Tokenization made Simple. - He Bai 002; Tatiana Likhomanenko; Ruixiang Zhang; Zijin Gu; Zakaria Aldeneh; Navdeep Jaitly (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; et al. (CoRR, 2024)

DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation. - Jiatao Gu; Yuyang Wang; Yizhe Zhang 002; Qihang Zhang; Dinghuai Zhang; Navdeep Jaitly; Josh M. Susskind; Shuangfei Zhai (CoRR, 2024)

TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models. - Georgia Gabriela Sampaio; Ruixiang Zhang; Shuangfei Zhai; Jiatao Gu; Josh M. Susskind; Navdeep Jaitly; Yizhe Zhang 002 (CoRR, 2024)

Visatronic: A Multimodal Decoder-Only Model for Speech Synthesis. - Akshita Gupta; Tatiana Likhomanenko; Karren Dai Yang; Richard He Bai; Zakaria Aldeneh; Navdeep Jaitly (CoRR, 2024)

Normalizing Flows are Capable Generative Models. - Shuangfei Zhai; Ruixiang Zhang; Preetum Nakkiran; David Berthelot; Jiatao Gu; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista 001; Navdeep Jaitly; Joshua M. Susskind (CoRR, 2024)

Training Software Engineering Agents and Verifiers with SWE-Gym. - Jiayi Pan; Xingyao Wang 002; Graham Neubig; Navdeep Jaitly; Heng Ji 001; Alane Suhr; Yizhe Zhang 002 (CoRR, 2024)

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models. - Yifu Qiu; Varun R. Embar; Yizhe Zhang 002; Navdeep Jaitly; Shay B. Cohen; Benjamin Han (ACL (Findings), 2025)

Denoising Autoregressive Transformers for Scalable Text-to-Image Generation. - Jiatao Gu; Yuyang Wang; Yizhe Zhang 002; Qihang Zhang; Dinghuai Zhang; Navdeep Jaitly; Joshua M. Susskind; Shuangfei Zhai (ICLR, 2025)

Improving GFlowNets for Text-to-Image Diffusion Alignment. - Dinghuai Zhang; Yizhe Zhang 002; Jiatao Gu; Ruixiang Zhang; Joshua M. Susskind; Navdeep Jaitly; Shuangfei Zhai (Trans. Mach. Learn. Res., 2025)

Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions. - Yizhe Zhang 002; Richard He Bai; Zijin Gu; Ruixiang Zhang; Jiatao Gu; Emmanuel Abbe; Samy Bengio; Navdeep Jaitly (CoRR, 2025)

SAGE: Steering and Refining Dialog Generation with State-Action Augmentation. - Yizhe Zhang 002; Navdeep Jaitly (CoRR, 2025)

Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. - Ruixiang Zhang; Shuangfei Zhai; Yizhe Zhang 002; James Thornton; Zijing Ou; Joshua M. Susskind; Navdeep Jaitly (CoRR, 2025)

SpeakStream: Streaming Text-to-Speech with Interleaved Data. - Richard He Bai; Zijin Gu; Tatiana Likhomanenko; Navdeep Jaitly (CoRR, 2025)

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation. - Shansan Gong; Ruixiang Zhang; Huangjie Zheng; Jiatao Gu; Navdeep Jaitly; Lingpeng Kong; Yizhe Zhang 002 (CoRR, 2025)

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows. - Ruixiang Zhang; Shuangfei Zhai; Jiatao Gu; Yizhe Zhang 002; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista 001; Joshua M. Susskind; Navdeep Jaitly (CoRR, 2025)

Omni-Router: Sharing Routing Decisions in Sparse Mixture-of-Experts for Speech Recognition. - Zijin Gu; Tatiana Likhomanenko; Navdeep Jaitly (CoRR, 2025)