Robert Kirby

According to our database, Robert Kirby authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

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

ChipNeMo: Domain-Adapted LLMs for Chip Design.

Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Ross Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Brucek Khailany, Kishor Kunal, Xiaowei Li, Hao Liu, Stuart F. Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raiman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P. Suthar, Varun Tej, Kaizhe Xu, Haoxing Ren

CoRR, 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

2020

Accelerating Chip Design With Machine Learning.

Brucek Khailany, Haoxing Ren, Steve Dai, Saad Godil, Ben Keller, Robert Kirby, Alicia Klinefelter, Rangharajan Venkatesan, Yanqing Zhang, Bryan Catanzaro, William J. Dally

IEEE Micro, 2020

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

2018

SDCNet: Video Prediction Using Spatially-Displaced Convolution.

Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro

CoRR, 2018

Large Scale Language Modeling: Converging on 40GB of Text in Four Hours.

Raul Puri, Robert Kirby, Nikolai Yakovenko, Bryan Catanzaro

Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

SDC-Net: Video Prediction Using Spatially-Displaced Convolution.

Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro

Proceedings of the Computer Vision - ECCV 2018, 2018