Rajarshi Roy

According to our database, Rajarshi Roy authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Nemotron-4 340B Technical Report.

Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu

CoRR, 2024

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

CoRR, 2024

ChatQA: Building GPT-4 Level Conversational QA Models.

Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2024

CircuitVAE: Efficient and Scalable Latent Circuit Optimization.

Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

GraPhSyM: Graph Physical Synthesis Model.

Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2021

Guiding Global Placement With Reinforcement Learning.

Robert Kirby, Kolby Nottingham, Rajarshi Roy, Saad Godil, Bryan Catanzaro

CoRR, 2021

Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper.

Haoxing Ren, Saad Godil, Brucek Khailany, Robert Kirby, Haiguang Liao, Siddhartha Nath, Jonathan Raiman, Rajarshi Roy

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

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

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2019

CongestionNet: Routing Congestion Prediction Using Deep Graph Neural Networks.

Robert Kirby, Saad Godil, Rajarshi Roy, Bryan Catanzaro

Proceedings of the 27th IFIP/IEEE International Conference on Very Large Scale Integration, 2019