| CongestionNet: Routing Congestion Prediction Using Deep Graph Neural Networks R Kirby, S Godil, R Roy, B Catanzaro 2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration …, 2019 | 68 | 2019 |
| PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning R Roy, J Raiman, N Kant, I Elkin, R Kirby, M Siu, S Oberman, S Godil, ... 2021 58th ACM/IEEE Design Automation Conference (DAC), 853-858, 2021 | 39 | 2021 |
| Deep predictive coverage collection R Roy, C Duvedi, S Godil, M Williams Proceedings of the design and verification conference and exhibition US (DVCon), 2018 | 13 | 2018 |
| NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models C Lee, R Roy, M Xu, J Raiman, M Shoeybi, B Catanzaro, W Ping arXiv preprint arXiv:2405.17428, 2024 | 11 | 2024 |
| ChatQA: Building GPT-4 Level Conversational QA Models Z Liu, W Ping, R Roy, P Xu, M Shoeybi, B Catanzaro arXiv preprint arXiv:2401.10225, 2024 | 11 | 2024 |
| Chatqa: Surpassing gpt-4 on conversational qa and rag Z Liu, W Ping, R Roy, P Xu, C Lee, M Shoeybi, B Catanzaro arXiv preprint arXiv:2401.10225, 2024 | 10 | 2024 |
| Congestionnet: Routing congestion prediction using deep graph neural networks. In 2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC) R Kirby, S Godil, R Roy, B Catanzaro IEEE, 2019 | 10 | 2019 |
| Optimizing VLSI Implementation with Reinforcement Learning-ICCAD Special Session Paper H Ren, S Godil, B Khailany, R Kirby, H Liao, S Nath, J Raiman, R Roy 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-6, 2021 | 9 | 2021 |
| Dynamically optimized test generation using machine learning R Roy, M Benipal, S Godil Proceedings of the Design and Verification Conference and Exhibition United …, 2021 | 7 | 2021 |
| Guiding Global Placement With Reinforcement Learning R Kirby, K Nottingham, R Roy, S Godil, B Catanzaro arXiv preprint arXiv:2109.02631, 2021 | 3 | 2021 |
| Nemotron-4 340B Technical Report B Adler, N Agarwal, A Aithal, DH Anh, P Bhattacharya, A Brundyn, ... arXiv preprint arXiv:2406.11704, 2024 | 1 | 2024 |
| GraPhSyM: Graph Physical Synthesis Model A Agiza, R Roy, TD Ene, S Godil, S Reda, B Catanzaro 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 1 | 2023 |
| Data path circuit design using reinforcement learning R Roy, S Godil, J Raiman, N Kant, I Elkin, M Siu, R Kirby, S Oberman, ... US Patent 20230139623A1, 2023 | 1 | 2023 |
| Multi-objective Reinforcement Learning with Adaptive Pareto Reset for Prefix Adder Design J Song, R Roy, J Raiman, R Kirby, N Kant, S Godil, B Catanzaro NeurIPS MLSys Workshop, 2022 | 1 | 2022 |
| Machine Learning for Logic Synthesis R Roy, S Godil Machine Learning Applications in Electronic Design Automation, 183-204, 2022 | 1 | 2022 |
| CircuitVAE: Efficient and Scalable Latent Circuit Optimization J Song, A Swope, R Kirby, R Roy, S Godil, J Raiman, B Catanzaro arXiv preprint arXiv:2406.09535, 2024 | | 2024 |
| Natural Language Question-Answering using Deep Learning B Liu, F Lyu, R Roy | | |
Saad GodilChief Technology Officer, Hippocratic AI在 nvidia.com 的电子邮件经过验证
Saad GodilChief Technology Officer, Hippocratic AI在 nvidia.com 的电子邮件经过验证
Bryan CatanzaroNVIDIA在 acm.org 的电子邮件经过验证