Jonathan Raiman

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Speech Recognition

Reinforcement Learning

Top Venues

Publications

Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro
CircuitVAE: Efficient and Scalable Latent Circuit Optimization. CoRR (2024)
Pablo Ducru, Jonathan Raiman, Ronaldo Lemos, Clay Garner, George He, Hanna Balcha, Gabriel Souto, Sergio Branco, Celina Bottino
AI Royalties - an IP Framework to Compensate Artists & IP Holders for AI-Generated Content. CoRR (2024)
Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. CoRR (2024)
Jialin Song, Jonathan Raiman, Bryan Catanzaro
Effective Large Language Model Debugging with Best-first Tree Search. CoRR (2024)
Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Ross Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Brucek Khailany, Kishor Kunal, Xiaowei Li, Hao Liu, Stuart F. Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raiman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P. Suthar, Varun Tej, Kaizhe Xu, Haoxing Ren
ChipNeMo: Domain-Adapted LLMs for Chip Design. CoRR (2023)
Jonathan Raiman
DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions. AAAI (2022)
Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro
PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. CoRR (2022)
Haoxing Ren, Saad Godil, Brucek Khailany, Robert Kirby, Haiguang Liao, Siddhartha Nath, Jonathan Raiman, Rajarshi Roy
Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper. ICCAD (2021)
Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro
PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. DAC (2021)
Jonathan Raiman
Generative Adversarial Simulator. CoRR (2020)
Jonathan Raiman, Susan Zhang, Christy Dennison
Neural Network Surgery with Sets. CoRR (2019)
Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemyslaw Debiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Christopher Hesse, Rafal Józefowicz, Scott Gray, Catherine Olsson, Jakub Pachocki, Michael Petrov, Henrique Pondé de Oliveira Pinto, Jonathan Raiman, Tim Salimans, Jeremy Schlatter, Jonas Schneider, Szymon Sidor, Ilya Sutskever, Jie Tang, Filip Wolski, Susan Zhang
Dota 2 with Large Scale Deep Reinforcement Learning. CoRR (2019)
Jonathan Raiman, Susan Zhang, Filip Wolski
Long-Term Planning and Situational Awareness in OpenAI Five. CoRR (2019)
Jonathan Raiman, Olivier Raiman
DeepType: Multilingual Entity Linking by Neural Type System Evolution. AAAI (2018)
Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. ICLR (Poster) (2018)
Jonathan Raiman, Olivier Raiman
DeepType: Multilingual Entity Linking by Neural Type System Evolution. CoRR (2018)
Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS (2017)
Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Gregory Frederick Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Y. Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi
Deep Voice: Real-time Neural Text-to-Speech. ICML (2017)
Jonathan Raiman, John Miller
Globally Normalized Reader. EMNLP (2017)
Jonathan Raiman, John Miller
Globally Normalized Reader. CoRR (2017)
Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR (2017)
Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Greg Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi
Deep Voice: Real-time Neural Text-to-Speech. CoRR (2017)
Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller
Deep Voice 3: 2000-Speaker Neural Text-to-Speech. CoRR (2017)
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
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML (2016)
Dario Amodei, Rishita Anubhai, 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, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR (2015)
Jonathan Raiman, Szymon Sidor
Occam's Gates. CoRR (2015)