SDC-Net: Video Prediction Using Spatially-Displaced Convolution. - Fitsum A. Reda; Guilin Liu; Kevin J. Shih; Robert Kirby 001; Jon Barker; David Tarjan; Andrew Tao; Bryan Catanzaro (ECCV (7), 2018)

Large Scale Language Modeling: Converging on 40GB of Text in Four Hours. - Raul Puri; Robert Kirby 001; Nikolai Yakovenko; Bryan Catanzaro (SBAC-PAD, 2018)

SDCNet: Video Prediction Using Spatially-Displaced Convolution. - Fitsum A. Reda; Guilin Liu; Kevin J. Shih; Robert Kirby 001; Jon Barker; David Tarjan; Andrew Tao; Bryan Catanzaro (CoRR, 2018)

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

Accelerating Chip Design With Machine Learning. - Brucek Khailany; Haoxing Ren; Steve Dai; Saad Godil; Ben Keller; Robert Kirby 001; Alicia Klinefelter; Rangharajan Venkatesan; Yanqing Zhang 002; Bryan Catanzaro; William J. Dally (IEEE Micro, 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)

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

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)

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)