CongestionNet: Routing Congestion Prediction Using Deep Graph Neural Networks. - Robert Kirby 001; Saad Godil; Rajarshi Roy 003; Bryan Catanzaro (VLSI-SoC, 2019)

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)

Guiding Global Placement With Reinforcement Learning. - Robert Kirby 001; Kolby Nottingham; Rajarshi Roy 003; Saad Godil; Bryan Catanzaro (CoRR, 2021)

GraPhSyM: Graph Physical Synthesis Model. - Ahmed Agiza; Rajarshi Roy 003; Teodor-Dumitru Ene; Saad Godil; Sherief Reda; Bryan Catanzaro (ICCAD, 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)

ChatQA: Surpassing GPT-4 on Conversational QA and RAG. - Zihan Liu 001; Wei Ping; Rajarshi Roy 003; Peng Xu 008; Chankyu Lee; Mohammad Shoeybi; Bryan Catanzaro (NeurIPS, 2024)

ChatQA: Building GPT-4 Level Conversational QA Models. - Zihan Liu 001; Wei Ping; Rajarshi Roy 003; Peng Xu 008; Chankyu Lee; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 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; et al. (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)