Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Rishita Anubhai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 2015)

Occam's Gates. - Jonathan Raiman; Szymon Sidor (CoRR, 2015)

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 002; Greg Diamos; et al. (ICML, 2016)

Globally Normalized Reader. - Jonathan Raiman; John Miller 001 (EMNLP, 2017)

Deep Voice: Real-time Neural Text-to-Speech. - Sercan Ömer Arik; Mike Chrzanowski; Adam Coates 002; Gregory Frederick Diamos; Andrew Gibiansky; Yongguo Kang; Xian Li; John Miller 001; Andrew Y. Ng; Jonathan Raiman; Shubho Sengupta; Mohammad Shoeybi (ICML, 2017)

Deep Voice 2: Multi-Speaker Neural Text-to-Speech. - Andrew Gibiansky; Sercan Ömer Arik; Gregory Frederick Diamos; John Miller 001; Kainan Peng; Wei Ping; Jonathan Raiman; Yanqi Zhou (NIPS, 2017)

Deep Voice: Real-time Neural Text-to-Speech. - Sercan Ömer Arik; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Andrew Gibiansky; Yongguo Kang; Xian Li; John Miller 001; Jonathan Raiman; Shubho Sengupta; Mohammad Shoeybi (CoRR, 2017)

Deep Voice 3: 2000-Speaker Neural Text-to-Speech. - Wei Ping; Kainan Peng; Andrew Gibiansky; Sercan Ömer Arik; Ajay Kannan; Sharan Narang; Jonathan Raiman; John Miller 001 (CoRR, 2017)

DeepType: Multilingual Entity Linking by Neural Type System Evolution. - Jonathan Raiman; Olivier Raiman (AAAI, 2018)

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. - Wei Ping; Kainan Peng; Andrew Gibiansky; Sercan Ömer Arik; Ajay Kannan; Sharan Narang; Jonathan Raiman; John Miller 001 (ICLR (Poster), 2018)

Dota 2 with Large Scale Deep Reinforcement Learning. - Christopher Berner; Greg Brockman; Brooke Chan; Vicki Cheung; Przemyslaw Debiak; Christy Dennison; David Farhi; Quirin Fischer; Shariq Hashme; Christopher Hesse; Rafal Józefowicz; Scott Gray; et al. (CoRR, 2019)

Neural Network Surgery with Sets. - Jonathan Raiman; Susan Zhang; Christy Dennison (CoRR, 2019)

Long-Term Planning and Situational Awareness in OpenAI Five. - Jonathan Raiman; Susan Zhang; Filip Wolski (CoRR, 2019)

Generative Adversarial Simulator. - Jonathan Raiman (CoRR, 2020)

PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. - Rajarshi Roy 003; Jonathan Raiman; Neel Kant; Ilyas Elkin; Robert Kirby 001; Michael Y. Siu; Stuart F. Oberman; Saad Godil; Bryan Catanzaro (DAC, 2021)

Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper. - Haoxing Ren; Saad Godil; Brucek Khailany; Robert Kirby 001; Haiguang Liao; Siddhartha Nath; Jonathan Raiman; Rajarshi Roy 003 (ICCAD, 2021)

DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions. - Jonathan Raiman (AAAI, 2022)

ChipNeMo: Domain-Adapted LLMs for Chip Design. - Mingjie Liu; Teodor-Dumitru Ene; Robert Kirby 001; Chris Cheng; Nathaniel Ross Pinckney; Rongjian Liang; Jonah Alben; Himyanshu Anand; Sanmitra Banerjee; Ismet Bayraktaroglu; Bonita Bhaskaran; Bryan Catanzaro; et al. (CoRR, 2023)

DeepType: compréhension du langage naturel par l'abstraction. (DeepType: Natural Language Understanding by Abstraction). - Jonathan Raiman (2023)

CircuitVAE: Efficient and Scalable Latent Circuit Optimization. - Jialin Song; Aidan M. Swope; Robert Kirby 001; Rajarshi Roy 003; Saad Godil; Jonathan Raiman; Bryan Catanzaro (DAC, 2024)

AI Royalties - an IP Framework to Compensate Artists & IP Holders for AI-Generated Content. - Pablo Ducru; Jonathan Raiman; Ronaldo Lemos; Clay Garner; George He; Hanna Balcha; Gabriel Souto; Sergio Branco; Celina Bottino (CoRR, 2024)

Effective Large Language Model Debugging with Best-first Tree Search. - Jialin Song; Jonathan Raiman; Bryan Catanzaro (CoRR, 2024)

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. - Chankyu Lee; Rajarshi Roy 003; Mengyao Xu; Jonathan Raiman; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping (ICLR, 2025)