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Amur Ghose
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2020 – today
- 2024
- [i4]Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan:
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. CoRR abs/2405.11024 (2024) - 2023
- [c6]Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates:
Spectral Augmentations for Graph Contrastive Learning. AISTATS 2023: 11213-11266 - [c5]Amur Ghose, Pascal Poupart:
Contrastive Deterministic Autoencoders For Language Modeling. EMNLP (Findings) 2023: 8458-8476 - [c4]Amur Ghose, Apurv Gupta, Yaoliang Yu, Pascal Poupart:
Batchnorm Allows Unsupervised Radial Attacks. NeurIPS 2023 - [i3]Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates:
Spectral Augmentations for Graph Contrastive Learning. CoRR abs/2302.02909 (2023) - 2021
- [c3]Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates:
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. ICCAD 2021: 1-9 - [i2]Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates:
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. CoRR abs/2111.05941 (2021) - 2020
- [j1]Amur Ghose, Priyank Jaini, Pascal Poupart:
Learning directed acyclic graph SPNs in sub-quadratic time. Int. J. Approx. Reason. 120: 48-73 (2020) - [c2]Amur Ghose, Abdullah Rashwan, Pascal Poupart:
Batch norm with entropic regularization turns deterministic autoencoders into generative models. UAI 2020: 1079-1088 - [i1]Amur Ghose, Abdullah Rashwan, Pascal Poupart:
Batch norm with entropic regularization turns deterministic autoencoders into generative models. CoRR abs/2002.10631 (2020)
2010 – 2019
- 2018
- [c1]Priyank Jaini, Amur Ghose, Pascal Poupart:
Prometheus : Directly Learning Acyclic Directed Graph Structures for Sum-Product Networks. PGM 2018: 181-192
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last updated on 2024-07-20 20:34 CEST by the dblp team
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