Amur Ghose

According to our database, Amur Ghose authored at least 13 papers between 2018 and 2026.

Collaborative distances:

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

2026

Automated QoR improvement in OpenROAD with coding agents.

Amur Ghose, Junyeong Jang, Andrew B. Kahng, Jakang Lee

CoRR, January, 2026

Invited: Agentic AI for Physical Design R&D: Status and Prospects.

Amur Ghose, Andrew B. Kahng, Sayak Kundu, Bodhisatta Pramanik

Proceedings of the 2026 International Symposium on Physical Design, 2026

2025

ORFS-agent: Tool-Using Agents for Chip Design Optimization.

Amur Ghose, Andrew B. Kahng, Sayak Kundu, Zhiang Wang

Proceedings of the 7th ACM/IEEE Symposium on Machine Learning for CAD, 2025

Invited: IEEE DATC RDF-2025: Enabling an EDA Research Ecosystem.

Vidya A. Chhabria, Amur Ghose, Vikram Gopalakrishnan, Andrew B. Kahng, Sayak Kundu, Yiting Liu, Zhiang Wang, Bing-Yue Wu

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Use Cases and Deployment of ML in IC Physical Design.

Amur Ghose, Andrew B. Kahng, Sayak Kundu, Yiting Liu, Bodhisatta Pramanik, Zhiang Wang, Dooseok Yoon

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection.

Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Batchnorm Allows Unsupervised Radial Attacks.

Amur Ghose, Apurv Gupta, Yaoliang Yu, Pascal Poupart

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Deterministic Autoencoders For Language Modeling.

Amur Ghose, Pascal Poupart

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Spectral Augmentations for Graph Contrastive Learning.

Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction.

Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

2020

Learning directed acyclic graph SPNs in sub-quadratic time.

Amur Ghose, Priyank Jaini, Pascal Poupart

Int. J. Approx. Reason., 2020

Batch norm with entropic regularization turns deterministic autoencoders into generative models.

Amur Ghose, Abdullah Rashwan, Pascal Poupart

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2018

Prometheus : Directly Learning Acyclic Directed Graph Structures for Sum-Product Networks.

Priyank Jaini, Amur Ghose, Pascal Poupart

Proceedings of the International Conference on Probabilistic Graphical Models, 2018