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Dive into the research topics where Mehrdad Mahdavi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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EFRI BRAID: Neuroscience Inspired Visual Analytics
Itti, L. (CoPI), Raghunathan, A. (CoPI), Sengupta, A. (CoPI), Mahdavi, M. (CoPI) & Narayanan, V. (PI)
9/1/23 → 8/31/27
Project: Research project
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CAREER: Foundations of Collaborative Machine Learning
Mahdavi, M. (PI)
8/1/23 → 7/31/28
Project: Research project
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CNS Core: Medium: When Next Generation Wireless Networks Meet Machine Learning
Yang, J. (PI), Gowda, M. (CoPI) & Mahdavi, M. (CoPI)
10/1/20 → 9/30/24
Project: Research project
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SHF:Small:Software and Hardware Optimizations for Learning over Graphs
Mahdavi, M. (PI) & Kandemir, M. (CoPI)
10/1/20 → 9/30/23
Project: Research project
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AI Institute: Planning: Institute for AI-Enabled Materials Discovery, Design, and Synthesis
Honavar, V. G. (PI), Morgan, D. (CoPI), Van Duin, A. (CoPI), Olivetti, E. E. A. (CoPI) & Mahdavi, M. (CoPI)
9/1/20 → 8/31/24
Project: Research project
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On the Generalization Ability of Unsupervised Pretraining
Deng, Y., Hong, J., Zhou, J. & Mahdavi, M., 2024, In: Proceedings of Machine Learning Research. 238, p. 4519-4527 9 p.Research output: Contribution to journal › Conference article › peer-review
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Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions
Ozgul, G., Li, X., Mahdavi, M. & Wang, C., 2024, In: Proceedings of Machine Learning Research. 235, p. 38953-38982 30 p.Research output: Contribution to journal › Conference article › peer-review
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Distributed Personalized Empirical Risk Minimization
Deng, Y., Kamani, M. M., Mahdavinia, P. & Mahdavi, M., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
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DO WE REALLY NEED COMPLICATED MODEL ARCHITECTURES FOR TEMPORAL NETWORKS?
Cong, W., Zhang, S., Kang, J., Yuan, B., Wu, H., Zhou, X., Tong, H. & Mahdavi, M., 2023.Research output: Contribution to conference › Paper › peer-review
42 Scopus citations -
DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability
Cong, W., Wu, Y., Tian, Y., Gu, M., Xia, Y., Jason Chen, C. C. & Mahdavi, M., 2023, 2023 SIAM International Conference on Data Mining, SDM 2023. Society for Industrial and Applied Mathematics Publications, p. 442-450 9 p. (2023 SIAM International Conference on Data Mining, SDM 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Scopus citations