Navdeep Jaitly

140 papers A* 15A 12C 3Misc 8Journal 85Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Path-Constrained Mixture-of-Experts. CoRR Zijin Gu, Tatiana Likhomanenko, Vimal Thilak, Jason Ramapuram, Navdeep Jaitly
2025	A*	`conf`	Achieving Human Level Competitive Robot Table Tennis. ICRA 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
2025	J	`jnl`	CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning. CoRR Jie He, Richard He Bai, Sinead Williamson, Jeff Z. Pan, Navdeep Jaitly, Yizhe Zhang
2025	C	`conf`	ChipChat: Low-Latency Cascaded Conversational Agent in MLX. ASRU Tatiana Likhomanenko, Luke Carlson, Richard He Bai, Zijin Gu, Han Tran, Zakaria Aldeneh, Yizhe Zhang, Ruixiang Zhang, Huangjie Zheng, Navdeep Jaitly
2025	J	`jnl`	ChipChat: Low-Latency Cascaded Conversational Agent in MLX. CoRR Tatiana Likhomanenko, Luke Carlson, Richard He Bai, Zijin Gu, Han Tran, Zakaria Aldeneh, Yizhe Zhang, Ruixiang Zhang, Huangjie Zheng, Navdeep Jaitly
2025	J	`jnl`	Closing the Gap Between Text and Speech Understanding in LLMs. CoRR Santiago Cuervo, Skyler Seto, Maureen de Seyssel, Richard He Bai, Zijin Gu, Tatiana Likhomanenko, Navdeep Jaitly, Zakaria Aldeneh
2025	J	`jnl`	Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling. CoRR Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, Navdeep Jaitly, Yizhe Zhang
2025	A*	`conf`	Denoising Autoregressive Transformers for Scalable Text-to-Image Generation. ICLR Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Joshua M. Susskind, Shuangfei Zhai
2025	J	`jnl`	DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation. CoRR Shansan Gong, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong, Yizhe Zhang
2025	—	`conf`	Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models. ACL (Findings) Yifu Qiu, Varun R. Embar, Yizhe Zhang, Navdeep Jaitly, Shay B. Cohen, Benjamin Han
2025	J	`jnl`	Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models. CoRR Yifu Qiu, Varun Embar, Yizhe Zhang, Navdeep Jaitly, Shay B. Cohen, Benjamin Han
2025	J	`jnl`	Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows. CoRR Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Joshua M. Susskind, Navdeep Jaitly
2025	J	`jnl`	Improving GFlowNets for Text-to-Image Diffusion Alignment. Trans. Mach. Learn. Res. Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Joshua M. Susskind, Navdeep Jaitly, Shuangfei Zhai
2025	J	`jnl`	LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning. CoRR Haoqiang Kang, Yizhe Zhang, Nikki Lijing Kuang, Nicklas Majamaki, Navdeep Jaitly, Yi-An Ma, Lianhui Qin
2025	A*	`conf`	Normalizing Flows are Capable Generative Models. ICML Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind
2025	C	`conf`	Omni-Router: Sharing Routing Decisions in Sparse Mixture-of-Experts for Speech Recognition. ASRU Zijin Gu, Tatiana Likhomanenko, Navdeep Jaitly
2025	J	`jnl`	Omni-Router: Sharing Routing Decisions in Sparse Mixture-of-Experts for Speech Recognition. CoRR Zijin Gu, Tatiana Likhomanenko, Navdeep Jaitly
2025	J	`jnl`	Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions. CoRR Yizhe Zhang, Richard He Bai, Zijin Gu, Ruixiang Zhang, Jiatao Gu, Emmanuel Abbe, Samy Bengio, Navdeep Jaitly
2025	J	`jnl`	SAGE: Steering and Refining Dialog Generation with State-Action Augmentation. CoRR Yizhe Zhang, Navdeep Jaitly
2025	J	`jnl`	SimpleFold: Folding Proteins is Simpler than You Think. CoRR Yuyang Wang, Jiarui Lu, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista
2025	J	`jnl`	SpeakStream: Streaming Text-to-Speech with Interleaved Data. CoRR Richard He Bai, Zijin Gu, Tatiana Likhomanenko, Navdeep Jaitly
2025	A*	`conf`	Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. ICML Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly
2025	J	`jnl`	Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. CoRR Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly
2025	A*	`conf`	Training Software Engineering Agents and Verifiers with SWE-Gym. ICML Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, Yizhe Zhang
2024	J	`jnl`	Achieving Human Level Competitive Robot Table Tennis. CoRR 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
2024	A*	`conf`	Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. NeurIPS Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Joshua M. Susskind
2024	J	`jnl`	Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. CoRR Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Josh M. Susskind
2024	—	`conf`	Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. LREC/COLING 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
2024	J	`jnl`	DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation. CoRR Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Josh M. Susskind, Shuangfei Zhai
2024	J	`jnl`	Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. CoRR Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly
2024	—	`conf`	Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP (Findings) Zhuofeng Wu, Richard He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang
2024	J	`jnl`	Divide-or-Conquer? Which Part Should You Distill Your LLM? CoRR Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang
2024	J	`jnl`	How Far Are We from Intelligent Visual Deductive Reasoning? CoRR Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
2024	J	`jnl`	Improving GFlowNets for Text-to-Image Diffusion Alignment. CoRR Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai
2024	A*	`conf`	Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. NeurIPS Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind
2024	J	`jnl`	Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. CoRR Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind
2024	A*	`conf`	Matryoshka Diffusion Models. ICLR Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly
2024	J	`jnl`	Normalizing Flows are Capable Generative Models. CoRR Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind
2024	—	`conf`	Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games. ACL (1) Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
2024	A	`conf`	REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. WACV Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge
2024	—	`conf`	Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. ACL (1) Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly
2024	J	`jnl`	Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. CoRR Pratyush Maini, Skyler Seto, He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly
2024	A*	`conf`	Swallowing the Bitter Pill: Simplified Scalable Conformer Generation. ICML Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista
2024	J	`jnl`	Training Software Engineering Agents and Verifiers with SWE-Gym. CoRR Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, Yizhe Zhang
2024	J	`jnl`	TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models. CoRR Georgia Gabriela Sampaio, Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Josh M. Susskind, Navdeep Jaitly, Yizhe Zhang
2024	J	`jnl`	Visatronic: A Multimodal Decoder-Only Model for Speech Synthesis. CoRR Akshita Gupta, Tatiana Likhomanenko, Karren Dai Yang, Richard He Bai, Zakaria Aldeneh, Navdeep Jaitly
2024	J	`jnl`	dMel: Speech Tokenization made Simple. CoRR He Bai, Tatiana Likhomanenko, Ruixiang Zhang, Zijin Gu, Zakaria Aldeneh, Navdeep Jaitly
2023	J	`jnl`	Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. CoRR 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
2023	A*	`conf`	Continuous pseudo-labeling from the start. ICLR Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko
2023	J	`jnl`	Generating Molecular Conformer Fields. CoRR Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista
2023	J	`jnl`	KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know. CoRR Shangshang Zheng, He Bai, Yizhe Zhang, Yi Su, Xiaochuan Niu, Navdeep Jaitly
2023	J	`jnl`	Matryoshka Diffusion Models. CoRR Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh M. Susskind, Navdeep Jaitly
2023	Misc	`conf`	More Speaking or More Speakers? ICASSP Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko
2023	A*	`conf`	PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. NeurIPS Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly
2023	J	`jnl`	PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. CoRR Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
2023	J	`jnl`	REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. CoRR Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge
2023	—	`conf`	Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems 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
2023	J	`jnl`	Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR 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
2023	J	`jnl`	The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs. CoRR Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
2022	J	`jnl`	Continuous Pseudo-Labeling from the Start. CoRR Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko
2022	—	`conf`	Continuous Soft Pseudo-Labeling in ASR. ICBINB Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio
2022	J	`jnl`	Continuous Soft Pseudo-Labeling in ASR. CoRR Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio
2022	A*	`conf`	Efficient Representation Learning via Adaptive Context Pooling. ICML Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M. Susskind
2022	J	`jnl`	Efficient Representation Learning via Adaptive Context Pooling. CoRR Chen Huang, Walter Talbott, Navdeep Jaitly, Josh M. Susskind
2022	J	`jnl`	More Speaking or More Speakers? CoRR Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko
2022	A*	`conf`	Position Prediction as an Effective Pretraining Strategy. ICML Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022	J	`jnl`	Position Prediction as an Effective Pretraining Strategy. CoRR Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022	J	`jnl`	Understanding the Robustness of Multi-Exit Models under Common Corruptions. CoRR Akshay Mehra, Skyler Seto, Navdeep Jaitly, Barry-John Theobald
2021	—	`conf`	RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. SLT Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
2020	A*	`conf`	Imputer: Sequence Modelling via Imputation and Dynamic Programming. ICML William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly
2020	J	`jnl`	Imputer: Sequence Modelling via Imputation and Dynamic Programming. CoRR William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly
2020	J	`jnl`	RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. CoRR Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
2020	A	`conf`	Robotic Table Tennis with Model-Free Reinforcement Learning. IROS Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
2020	J	`jnl`	Robotic Table Tennis with Model-Free Reinforcement Learning. CoRR Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
2019	J	`jnl`	Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR 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
2019	J	`jnl`	SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong. CoRR Steven Schwarcz, Peng Xu, David B. D'Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly
2018	J	`jnl`	Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play. CoRR Reza Mahjourian, Navdeep Jaitly, Nevena Lazic, Sergey Levine, Risto Miikkulainen
2018	Misc	`conf`	Learning Hard Alignments with Variational Inference. ICASSP Dieterich Lawson, Chung-Cheng Chiu, George Tucker, Colin Raffel, Kevin Swersky, Navdeep Jaitly
2018	Misc	`conf`	Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. ICASSP 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
2018	A	`conf`	Speech Recognition for Medical Conversations. INTERSPEECH 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
2018	Misc	`conf`	State-of-the-Art Speech Recognition with Sequence-to-Sequence Models. ICASSP 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
2017	A	`conf`	A Comparison of Sequence-to-Sequence Models for Speech Recognition. INTERSPEECH Rohit Prabhavalkar, Kanishka Rao, Tara N. Sainath, Bo Li, Leif Johnson, Navdeep Jaitly
2017	A	`conf`	An Analysis of "Attention" in Sequence-to-Sequence Models. INTERSPEECH Rohit Prabhavalkar, Tara N. Sainath, Bo Li, Kanishka Rao, Navdeep Jaitly
2017	A	`conf`	An RNN Model of Text Normalization. INTERSPEECH Richard Sproat, Navdeep Jaitly
2017	J	`jnl`	An online sequence-to-sequence model for noisy speech recognition. CoRR Chung-Cheng Chiu, Dieterich Lawson, Yuping Luo, George Tucker, Kevin Swersky, Ilya Sutskever, Navdeep Jaitly
2017	J	`jnl`	Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames. J. Signal Process. Syst. Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Julian Ryde, Navdeep Jaitly, Michael Giering
2017	J	`jnl`	Discrete Sequential Prediction of Continuous Actions for Deep RL. CoRR Luke Metz, Julian Ibarz, Navdeep Jaitly, James Davidson
2017	—	`conf`	Latent Sequence Decompositions. ICLR (Poster) William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly
2017	J	`jnl`	Learning Hard Alignments with Variational Inference. CoRR Dieterich Lawson, George Tucker, Chung-Cheng Chiu, Colin Raffel, Kevin Swersky, Navdeep Jaitly
2017	Misc	`conf`	Learning online alignments with continuous rewards policy gradient. ICASSP Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever
2017	J	`jnl`	Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. CoRR 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
2017	J	`jnl`	Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction. CoRR Akosua Busia, Navdeep Jaitly
2017	J	`jnl`	Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech. CoRR Ron J. Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, Zhifeng Chen
2017	A	`conf`	Sequence-to-Sequence Models Can Directly Translate Foreign Speech. INTERSPEECH Ron J. Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, Zhifeng Chen
2017	J	`jnl`	Speech recognition for medical conversations. CoRR 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
2017	J	`jnl`	State-of-the-art Speech Recognition With Sequence-to-Sequence Models. CoRR 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
2017	J	`jnl`	Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. CoRR 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
2017	A	`conf`	Tacotron: Towards End-to-End Speech Synthesis. INTERSPEECH 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
2017	A	`conf`	Towards Better Decoding and Language Model Integration in Sequence to Sequence Models. INTERSPEECH Jan Chorowski, Navdeep Jaitly
2017	Misc	`conf`	Very deep convolutional networks for end-to-end speech recognition. ICASSP Yu Zhang, William Chan, Navdeep Jaitly
2016	—	`conf`	An Online Sequence-to-Sequence Model Using Partial Conditioning. NIPS Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, David Sussillo, Samy Bengio
2016	—	`conf`	Chained Predictions Using Convolutional Neural Networks. ECCV (4) Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly
2016	J	`jnl`	Chained Predictions Using Convolutional Neural Networks. CoRR Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly
2016	—	`ch.`	Deep Discriminative and Generative Models for speech Pattern Recognition. Handbook of Pattern Recognition and Computer Vision Li Deng, Navdeep Jaitly
2016	J	`jnl`	Latent Sequence Decompositions. CoRR William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly
2016	J	`jnl`	Learning Online Alignments with Continuous Rewards Policy Gradient. CoRR Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever
2016	Misc	`conf`	Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. ICASSP William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
2016	J	`jnl`	Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning. CoRR Akosua Busia, Jasmine Collins, Navdeep Jaitly
2016	J	`jnl`	RNN Approaches to Text Normalization: A Challenge. CoRR Richard Sproat, Navdeep Jaitly
2016	—	`conf`	Reward Augmented Maximum Likelihood for Neural Structured Prediction. NIPS Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans
2016	J	`jnl`	Reward Augmented Maximum Likelihood for Neural Structured Prediction. CoRR Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans
2016	J	`jnl`	Towards better decoding and language model integration in sequence to sequence models. CoRR Jan Chorowski, Navdeep Jaitly
2016	J	`jnl`	Very Deep Convolutional Networks for End-to-End Speech Recognition. CoRR Yu Zhang, William Chan, Navdeep Jaitly
2015	J	`jnl`	A Simple Way to Initialize Recurrent Networks of Rectified Linear Units. CoRR Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton
2015	J	`jnl`	Adversarial Autoencoders. CoRR Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian J. Goodfellow
2015	J	`jnl`	An Online Sequence-to-Sequence Model Using Partial Conditioning. CoRR Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, Samy Bengio
2015	—	`—`	Exploring Deep Learning Methods for Discovering Features in Speech Signals. Navdeep Jaitly
2015	J	`jnl`	Listen, Attend and Spell. CoRR William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
2015	J	`jnl`	Object Recognition from Short Videos for Robotic Perception. CoRR Ivan Bogun, Anelia Angelova, Navdeep Jaitly
2015	—	`conf`	Pointer Networks. NIPS Oriol Vinyals, Meire Fortunato, Navdeep Jaitly
2015	J	`jnl`	Pointer Networks. CoRR Oriol Vinyals, Meire Fortunato, Navdeep Jaitly
2015	—	`conf`	Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. NIPS Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer
2015	J	`jnl`	Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. CoRR Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer
2014	A	`conf`	Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models. INTERSPEECH Navdeep Jaitly, Vincent Vanhoucke, Geoffrey E. Hinton
2014	J	`jnl`	Multi-task Neural Networks for QSAR Predictions. CoRR George E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov
2014	J	`jnl`	Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks. CoRR Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Michael Giering, Julian Ryde, Navdeep Jaitly
2014	A*	`conf`	Towards End-To-End Speech Recognition with Recurrent Neural Networks. ICML Alex Graves, Navdeep Jaitly
2013	C	`conf`	Hybrid speech recognition with Deep Bidirectional LSTM. ASRU Alex Graves, Navdeep Jaitly, Abdel-rahman Mohamed
2013	J	`jnl`	MultiAlign: a multiple LC-MS analysis tool for targeted omics analysis. BMC Bioinform. 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
2013	A	`conf`	Using an autoencoder with deformable templates to discover features for automated speech recognition. INTERSPEECH Navdeep Jaitly, Geoffrey E. Hinton
2012	A	`conf`	Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition. INTERSPEECH Navdeep Jaitly, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke
2011	Misc	`conf`	Learning a better representation of speech soundwaves using restricted boltzmann machines. ICASSP Navdeep Jaitly, Geoffrey E. Hinton
2011	J	`jnl`	Normalizing Molecular Docking Rankings using Virtually Generated Decoys. J. Chem. Inf. Model. Izhar Wallach, Navdeep Jaitly, Kong T. Nguyen, Matthieu Schapira, Ryan H. Lilien
2010	J	`jnl`	A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy. Bioinform. Navdeep Jaitly, Marcus A. Brubaker, John L. Rubinstein, Ryan H. Lilien
2010	J	`jnl`	Applications in Data-Intensive Computing. Adv. Comput. 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, Andrés Márquez, Matthew E. Monroe, Christopher S. Oehmen, William A. Pike, Chad Scherrer, Oreste Villa, Bobbie-Jo M. Webb-Robertson, Paul D. Whitney, Nino Zuljevic
2009	—	`conf`	An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry. eScience 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
2009	J	`jnl`	Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data. BMC Bioinform. Navdeep Jaitly, Anoop M. Mayampurath, Kyle Littlefield, Joshua N. Adkins, Gordon A. Anderson, Richard D. Smith
2008	J	`jnl`	DAnTE: a statistical tool for quantitative analysis of -omics data. Bioinform. Ashoka D. Polpitiya, Wei-Jun Qian, Navdeep Jaitly, Vladislav A. Petyuk, Joshua N. Adkins, David G. Camp II, Gordon A. Anderson, Richard D. Smith
2008	J	`jnl`	DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra. Bioinform. Anoop M. Mayampurath, Navdeep Jaitly, Samuel O. Purvine, Matthew E. Monroe, Kenneth J. Auberry, Joshua N. Adkins, Richard D. Smith
2007	J	`jnl`	VIPER: an advanced software package to support high-throughput LC-MS peptide identification. Bioinform. Matthew E. Monroe, Nikola Tolic, Navdeep Jaitly, Jason L. Shaw, Joshua N. Adkins, Richard D. Smith