Prometheus : Directly Learning Acyclic Directed Graph Structures for Sum-Product Networks. - Priyank Jaini; Amur Ghose; Pascal Poupart (PGM, 2018)

Batch norm with entropic regularization turns deterministic autoencoders into generative models. - Amur Ghose; Abdullah Rashwan; Pascal Poupart (UAI, 2020)

Learning directed acyclic graph SPNs in sub-quadratic time. - Amur Ghose; Priyank Jaini; Pascal Poupart (Int. J. Approx. Reason., 2020)

Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. - Amur Ghose; Vincent Zhang; Yingxue Zhang 001; Dong Li 016; Wulong Liu; Mark Coates (ICCAD, 2021)

Spectral Augmentations for Graph Contrastive Learning. - Amur Ghose; Yingxue Zhang 001; Jianye Hao; Mark Coates (AISTATS, 2023)

Contrastive Deterministic Autoencoders For Language Modeling. - Amur Ghose; Pascal Poupart (EMNLP (Findings), 2023)

Batchnorm Allows Unsupervised Radial Attacks. - Amur Ghose; Apurv Gupta; Yaoliang Yu; Pascal Poupart (NeurIPS, 2023)

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 001; Jianye Hao; Mark Coates; Mingxuan Yuan (KDD, 2024)

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 (ASP-DAC, 2025)

ORFS-agent: Tool-Using Agents for Chip Design Optimization. - Amur Ghose; Andrew B. Kahng; Sayak Kundu; Zhiang Wang (CoRR, 2025)