‪Sepehr Dehdashtian‬ - ‪Google Scholar‬

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Co-authors

Vishnu Naresh BoddetiMichigan State UniversityVerified email at msu.edu
Matin HashemiSharif University of TechnologyVerified email at sharif.edu
Saber SalehkaleybarLeiden UniversityVerified email at liacs.leidenuniv.nl
Bashir SadeghiPhD, Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
Lan WangMichigan State UniversityVerified email at msu.edu

Sepehr Dehdashtian

Sepehr Dehdashtian

Michigan State University

Verified email at msu.edu - Homepage

Machine Learning Fairness in Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep-learning-based blind recognition of channel code parameters over candidate sets under AWGN and multi-path fading conditions S Dehdashtian, M Hashemi, S Salehkaleybar IEEE Wireless Communications Letters 10 (5), 1041-1045, 2021	21	2021
On Characterizing the Trade-off in Invariant Representation Learning B Sadeghi, S Dehdashtian, V Boddeti Transactions on Machine Learning Research, 2022	6	2022
Fairerclip: Debiasing zero-shot predictions of clip in rkhss S Dehdashtian, L Wang, V Boddeti International Conference on Learning Representations, 2024	2*	2024
Utility-Fairness Trade-Offs and How to Find Them S Dehdashtian, B Sadeghi, VN Boddeti arXiv preprint arXiv:2404.09454, 2024		2024

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Articles 1–4