Bryan Catanzaro
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
77
Venues
20
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
77 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models. | Chejian Xu, Wei Ping, Peng Xu, Zihan Liu, Boxin Wang, Mohammad Shoeybi, Bo Li, Bryan Catanzaro |
| 2026 | EACL | Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning. | Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, Seungju Han, Ying Lin, Evelina Bakhturina, Eric Nyberg, Yejin Choi, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
| 2025 | ACL | Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset. | Dan Su, Kezhi Kong, Ying Lin, Joseph Jennings, Brandon Norick, Markus Kliegl, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
| 2025 | ACL | AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling. | Zihan Liu, Yang Chen, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping |
| 2025 | CVPR | RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models. | Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov |
| 2025 | ICLR | MIND: Math Informed syNthetic Dialogues for Pretraining LLMs. | Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, Sanjeev Satheesh, Eric Nyberg, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
| 2025 | ICLR | Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data. | Sreyan Ghosh, Sonal Kumar, Zhifeng Kong, Rafael Valle, Bryan Catanzaro, Dinesh Manocha |
| 2025 | ICLR | NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. | Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping |
| 2025 | ICLR | Mm-Embed: Universal Multimodal Retrieval with Multimodal LLMS. | Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin, Bryan Catanzaro, Wei Ping |
| 2025 | ICLR | UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. | Alexander H. Liu, Sang-gil Lee, Chao-Han Huck Yang, Yuan Gong, Yu-Chiang Frank Wang, James R. Glass, Rafael Valle, Bryan Catanzaro |
| 2025 | ICLR | Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. | Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, Yilin Zhao, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu |
| 2025 | ICLR | Fugatto 1: Foundational Generative Audio Transformer Opus 1. | Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, Joo Felipe Santos, Shuqi Dai, Siddharth Gururani, Aya Aljafari, Alexander H. Liu, Kevin J. Shih, Ryan Prenger, Wei Ping, Chao-Han Huck Yang, Bryan Catanzaro |
| 2025 | ICLR | ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities. | Peng Xu, Wei Ping, Xianchao Wu, Chejian Xu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro |
| 2025 | ICML | Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities. | Sreyan Ghosh, Zhifeng Kong, Sonal Kumar, S. Sakshi, Jaehyeon Kim, Wei Ping, Rafael Valle, Dinesh Manocha, Bryan Catanzaro |
| 2025 | ICML | ETTA: Elucidating the Design Space of Text-to-Audio Models. | Sang-gil Lee, Zhifeng Kong, Arushi Goel, Sungwon Kim, Rafael Valle, Bryan Catanzaro |
| 2025 | ICML | FeatSharp: Your Vision Model Features, Sharper. | Mike Ranzinger, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao |
| 2025 | ICML | Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity. | Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee, Jonathan Raiman, Bryan Catanzaro |
| 2024 | DAC | CircuitVAE: Efficient and Scalable Latent Circuit Optimization. | Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro |
| 2024 | EMNLP | Data, Data Everywhere: A Guide for Pretraining Dataset Construction. | Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Liu, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
| 2024 | EMNLP | LLM-Evolve: Evaluation for LLM's Evolving Capability on Benchmarks. | Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
| 2024 | ICASSP | Scaling Nvidia's Multi-Speaker Multi-Lingual TTS Systems With Zero-Shot TTS to Indic Languages. | Akshit Arora, Rohan Badlani, Sungwon Kim, Rafael Valle, Bryan Catanzaro |
| 2024 | ICLR | Retrieval meets Long Context Large Language Models. | Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro |
| 2024 | ICML | ODIN: Disentangled Reward Mitigates Hacking in RLHF. | Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro |
| 2024 | ICML | Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities. | Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro |
| 2024 | ICML | InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. | Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro |
| 2024 | WACV | Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. | Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava |
| 2023 | ASPLOS | Language Models: The Most Important Compute Challenge of Our Time (Keynote). | Bryan Catanzaro |
| 2023 | EACL | Adding Instructions during Pretraining: Effective way of Controlling Toxicity in Language Models. | Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
| 2023 | EACL | Context Generation Improves Open Domain Question Answering. | Dan Su, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro |
| 2023 | EMNLP | Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. | Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro |
| 2023 | EMNLP | Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. | Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar |
| 2023 | ICASSP | Vani: Very-Lightweight Accent-Controllable TTS for Native And Non-Native Speakers With Identity Preservation. | Rohan Badlani, Akshit Arora, Subhankar Ghosh, Rafael Valle, Kevin J. Shih, Joo Felipe Santos, Boris Ginsburg, Bryan Catanzaro |
| 2023 | ICASSP | Any-to-Any Voice Conversion with F0 and Timbre Disentanglement and Novel Timbre Conditioning. | Sudheer Kovela, Rafael Valle, Ambrish Dantrey, Bryan Catanzaro |
| 2023 | ICASSP | High-Acoustic Fidelity Text To Speech Synthesis With Fine-Grained Control Of Speech Attributes. | Rafael Valle, Joo Felipe Santos, Kevin J. Shih, Rohan Badlani, Bryan Catanzaro |
| 2023 | ICCAD | GraPhSyM: Graph Physical Synthesis Model. | Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro |
| 2023 | ICCV | Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. | Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji |
| 2023 | ICLR | BigVGAN: A Universal Neural Vocoder with Large-Scale Training. | Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon |
| 2023 | Interspeech | RAD-MMM: Multilingual Multiaccented Multispeaker Text To Speech. | Rohan Badlani, Rafael Valle, Kevin J. Shih, Joo Felipe Santos, Siddharth Gururani, Bryan Catanzaro |
| 2023 | Interspeech | CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. | Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro |
| 2022 | ACL | Multi-Stage Prompting for Knowledgeable Dialogue Generation. | Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro |
| 2022 | EMNLP | Evaluating Parameter Efficient Learning for Generation. | Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro |
| 2022 | ICASSP | One TTS Alignment to Rule Them All. | Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro |
| 2022 | ICASSP | Speech Denoising in the Waveform Domain With Self-Attention. | Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro |
| 2022 | ICLR | Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. | John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro |
| 2021 | ACL | End-to-End Training of Neural Retrievers for Open-Domain Question Answering. | Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro |
| 2021 | CVPR | View Generalization for Single Image Textured 3D Models. | Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro |
| 2021 | DAC | PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. | Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro |
| 2021 | ICCV | Dual Contrastive Loss and Attention for GANs. | Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz |
| 2021 | ICLR | DiffWave: A Versatile Diffusion Model for Audio Synthesis. | Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro |
| 2021 | ICLR | Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis. | Rafael Valle, Kevin J. Shih, Ryan Prenger, Bryan Catanzaro |
| 2021 | SC | Efficient large-scale language model training on GPU clusters using megatron-LM. | Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia |
| 2020 | ACL | Large Scale Multi-Actor Generative Dialog Modeling. | Alex Boyd, Raul Puri, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro |
| 2020 | CVPR | Panoptic-Based Image Synthesis. | Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro |
| 2020 | EMNLP | Training Question Answering Models From Synthetic Data. | Raul Puri, Ryan Spring, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro |
| 2020 | EMNLP | MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models. | Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan Catanzaro |
| 2020 | ICASSP | Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens. | Rafael Valle, Jason Li, Ryan Prenger, Bryan Catanzaro |
| 2019 | CVPR | Improving Semantic Segmentation via Video Propagation and Label Relaxation. | Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro |
| 2019 | CVPR | Graphical Contrastive Losses for Scene Graph Parsing. | Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro |
| 2019 | ICASSP | Waveglow: A Flow-based Generative Network for Speech Synthesis. | Ryan Prenger, Rafael Valle, Bryan Catanzaro |
| 2019 | ICCV | Unsupervised Video Interpolation Using Cycle Consistency. | Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro |
| 2018 | AAAI | Malware Detection by Eating a Whole EXE. | Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas |
| 2018 | CVPR | High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs. | Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro |
| 2018 | ECCV | Image Inpainting for Irregular Holes Using Partial Convolutions. | Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro |
| 2018 | ECCV | SDC-Net: Video Prediction Using Spatially-Displaced Convolution. | Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro |
| 2018 | SBAC-PAD | Large Scale Language Modeling: Converging on 40GB of Text in Four Hours. | Raul Puri, Robert Kirby, Nikolai Yakovenko, Bryan Catanzaro |
| 2017 | ICLR | DSD: Dense-Sparse-Dense Training for Deep Neural Networks. | Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro, William J. Dally |
| 2016 | ICML | Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. | Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu |
| 2016 | ICML | Persistent RNNs: Stashing Recurrent Weights On-Chip. | Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh |
| 2015 | PPoPP | A collection-oriented programming model for performance portability. | Saurav Muralidharan, Michael Garland, Bryan Catanzaro, Albert Sidelnik, Mary W. Hall |
| 2014 | PPoPP | A decomposition for in-place matrix transposition. | Bryan Catanzaro, Alexander Keller, Michael Garland |
| 2013 | ICML | Deep learning with COTS HPC systems. | Adam Coates, Brody Huval, Tao Wang, David J. Wu, Bryan Catanzaro, Andrew Y. Ng |
| 2011 | PPoPP | Copperhead: compiling an embedded data parallel language. | Bryan Catanzaro, Michael Garland, Kurt Keutzer |
| 2009 | ICCV | Efficient, high-quality image contour detection. | Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram, Yunsup Lee, Mark Murphy, Kurt Keutzer |
| 2008 | DAC | Parallelizing CAD: a timely research agenda for EDA. | Bryan Catanzaro, Kurt Keutzer, Bor-Yiing Su |
| 2008 | ICML | Fast support vector machine training and classification on graphics processors. | Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer |
| 2005 | FCCM | Higher Radix Floating-Point Representations for FPGA-Based Arithmetic. | Bryan Catanzaro, Brent E. Nelson |
| 2005 | FPGA | Choice of base revisited: higher radices for FPGA-based floating-point computation (abstract only). | Bryan Catanzaro, Brent E. Nelson |