Saad Godil - RankMe

16 papers A* 4A 2C 1Misc 1Journal 8

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	CircuitVAE: Efficient and Scalable Latent Circuit Optimization. DAC Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro
2024	J	`jnl`	CircuitVAE: Efficient and Scalable Latent Circuit Optimization. CoRR Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro
2024	J	`jnl`	Polaris: A Safety-focused LLM Constellation Architecture for Healthcare. CoRR 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
2023	A	`conf`	GraPhSyM: Graph Physical Synthesis Model. ICCAD Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro
2023	J	`jnl`	GraPhSyM: Graph Physical Synthesis Model. CoRR Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro
2023	A*	`conf`	LeanDojo: Theorem Proving with Retrieval-Augmented Language Models. NeurIPS Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan J. Prenger, Animashree Anandkumar
2023	J	`jnl`	LeanDojo: Theorem Proving with Retrieval-Augmented Language Models. CoRR Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan Prenger, Anima Anandkumar
2022	J	`jnl`	PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. CoRR Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro
2021	Misc	`conf`	Deep Stalling using a Coverage Driven Genetic Algorithm Framework. VTS Siddhanth Dhodhi, Debarshi Chatterjee, Eric Hill, Saad Godil
2021	J	`jnl`	Guiding Global Placement With Reinforcement Learning. CoRR Robert Kirby, Kolby Nottingham, Rajarshi Roy, Saad Godil, Bryan Catanzaro
2021	A	`conf`	Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper. ICCAD Haoxing Ren, Saad Godil, Brucek Khailany, Robert Kirby, Haiguang Liao, Siddhartha Nath, Jonathan Raiman, Rajarshi Roy
2021	A*	`conf`	PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. DAC Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro
2020	J	`jnl`	Accelerating Chip Design With Machine Learning. IEEE Micro Brucek Khailany, Haoxing Ren, Steve Dai, Saad Godil, Ben Keller, Robert Kirby, Alicia Klinefelter, Rangharajan Venkatesan, Yanqing Zhang, Bryan Catanzaro, William J. Dally
2020	A*	`conf`	Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver? NeurIPS Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro
2019	C	`conf`	CongestionNet: Routing Congestion Prediction Using Deep Graph Neural Networks. VLSI-SoC Robert Kirby, Saad Godil, Rajarshi Roy, Bryan Catanzaro
2019	J	`jnl`	Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning. CoRR Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro