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2020 – today
- 2024
[c8]Jialin Song
, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro:
CircuitVAE: Efficient and Scalable Latent Circuit Optimization. DAC 2024: 302:1-302:6- [i7]Subhabrata Mukherjee, Paul Gamble, Markel Sanz Ausin, Neel Kant, Kriti Aggarwal, Neha Manjunath, Debajyoti Datta, Zhengliang Liu, Jiayuan Ding, Sophia Busacca, Cezanne Bianco, Swapnil Sharma, Rae Lasko, Michelle Voisard, Sanchay Harneja, Darya Filippova, Gerry Meixiong, Kevin Cha, Amir Youssefi, Meyhaa Buvanesh, Howard Weingram, Sebastian Bierman-Lytle, Harpreet Singh Mangat, Kim Parikh, Saad Godil, Alex Miller:
Polaris: A Safety-focused LLM Constellation Architecture for Healthcare. CoRR abs/2403.13313 (2024) - [i6]Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro:
CircuitVAE: Efficient and Scalable Latent Circuit Optimization. CoRR abs/2406.09535 (2024) - 2023
- [c7]Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro:
GraPhSyM: Graph Physical Synthesis Model. ICCAD 2023: 1-9 - [c6]Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan J. Prenger, Animashree Anandkumar:
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models. NeurIPS 2023 - [i5]Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan Prenger, Anima Anandkumar:
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models. CoRR abs/2306.15626 (2023) - [i4]Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro:
GraPhSyM: Graph Physical Synthesis Model. CoRR abs/2308.03944 (2023) - 2022
- [i3]Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro:
PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. CoRR abs/2205.07000 (2022) - 2021
- [c5]Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro:
PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. DAC 2021: 853-858 - [c4]Haoxing Ren, Saad Godil, Brucek Khailany, Robert Kirby, Haiguang Liao, Siddhartha Nath, Jonathan Raiman, Rajarshi Roy:
Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper. ICCAD 2021: 1-6 - [c3]Siddhanth Dhodhi, Debarshi Chatterjee, Eric Hill, Saad Godil:
Deep Stalling using a Coverage Driven Genetic Algorithm Framework. VTS 2021: 1-4 - [i2]Robert Kirby, Kolby Nottingham, Rajarshi Roy, Saad Godil, Bryan Catanzaro:
Guiding Global Placement With Reinforcement Learning. CoRR abs/2109.02631 (2021) - 2020
- [j1]Brucek Khailany, Haoxing Ren, Steve Dai, Saad Godil, Ben Keller, Robert Kirby, Alicia Klinefelter, Rangharajan Venkatesan, Yanqing Zhang, Bryan Catanzaro, William J. Dally:
Accelerating Chip Design With Machine Learning. IEEE Micro 40(6): 23-32 (2020) - [c2]Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro:
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver? NeurIPS 2020
2010 – 2019
- 2019
- [c1]Robert Kirby, Saad Godil, Rajarshi Roy, Bryan Catanzaro:
CongestionNet: Routing Congestion Prediction Using Deep Graph Neural Networks. VLSI-SoC 2019: 217-222 - [i1]Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro:
Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning. CoRR abs/1909.11830 (2019)
Coauthor Index
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