Mamal Amini 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	106	98
h 指数	5	4
i10 指数	3	2

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Sarath ChandarAssociate Professor @ Polytechnique Montreal. Mila. Canada CIFAR AI Chair. Canada Research Chair.在 polymtl.ca 的电子邮件经过验证
Akilesh BadrinaaraayananML and Privacy at Google在 andrew.cmu.edu 的电子邮件经过验证
Vikas VermaAalto University/ MILA/ Google Brain在 google.com 的电子邮件经过验证
Mojtaba FaramarziUniversity of Montreal / Mila在 mila.quebec 的电子邮件经过验证
Janarthanan RajendranAssistant Professor, Faculty of Computer Science, Dalhousie University在 umich.edu 的电子邮件经过验证
Amit SinhaMcGill University在 mail.mcgill.ca 的电子邮件经过验证
Hadi NekoeiMontreal Institute of Learning Algorithms (Mila), University of Montreal在 mila.quebec 的电子邮件经过验证
Sai Krishna GottipatiAI Redefined在 ai-r.com 的电子邮件经过验证
Matthew E. TaylorProfessor, University of Alberta在 ualberta.ca 的电子邮件经过验证
Yashaswi PathakUndergraduate Researcher, IIIT Hyderabad在 research.iiit.ac.in 的电子邮件经过验证
Boris SattarovQubit Pharmaceuticals在 qubit-pharmaceuticals.com 的电子邮件经过验证
Rohan NuttallMaster's Student, University of Alberta在 ualberta.ca 的电子邮件经过验证
Doina PrecupDeepMind and McGill University在 cs.mcgill.ca 的电子邮件经过验证
Harsh BhasinBennett University在 bennett.edu.in 的电子邮件经过验证

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Mamal Amini

Now @ GovernGPT.ai | ex Cerebras | ex Huawei | ex Mila | McGill alumn

在 mail.mcgill.ca 的电子邮件经过验证

Deep Learning Reinforcement Learning Computer Vision Graph Neural Networks


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Patchup: A feature-space block-level regularization technique for convolutional neural networks M Faramarzi, M Amini, A Badrinaaraayanan, V Verma, S Chandar Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 589-597, 2022	66	2022
Generalizable floorplanner through corner block list representation and hypergraph embedding M Amini, Z Zhang, S Penmetsa, Y Zhang, J Hao, W Liu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022	11	2022
The applicability of genetic algorithm to vertex cover H Bhasin, M Amini International Journal of Computer Applications 123 (17), 29-34, 2015	11	2015
Dealing with non-stationarity in decentralized cooperative multi-agent deep reinforcement learning via multi-timescale learning H Nekoei, A Badrinaaraayanan, A Sinha, M Amini, J Rajendran, ... Conference on Lifelong Learning Agents, 376-398, 2023	9	2023
Towered actor critic for handling multiple action types in reinforcement learning for drug discovery SK Gottipati, Y Pathak, B Sattarov, R Nuttall, M Amini, ME Taylor, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 142-150, 2021	7	2021
Staged independent learning: Towards decentralized cooperative multi-agent reinforcement learning H Nekoei, A Badrinaaraayanan, A Sinha, M Amini, J Rajendran, ... ICLR 2022 Workshop on Gamification and Multiagent Solutions, 2022	1	2022
On the applicability of diploid genetic algorithms in vertex cover problem M Amini, S Dwivedi, MA Beg CSI transactions on ICT 4, 177-182, 2016	1	2016
Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers A Ardalan Kalantari, M Amini, S Chandar, D Precup arXiv e-prints, arXiv: 2202.00710, 2022		2022
Policy Guided Planning in Learned Latent Space for Model-based Reinforcement Learning M Amini McGill University (Canada), 2021		2021
Policy Guided Planning in Latent Space M Amini, D Precup, S Chandar Deep Reinforcement Learning Workshop, https://drive.google.com/file/d/1IVK9FNz, 2020		2020

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