Amirata Ghorbani, PhD
Palo Alto, California, United States
6K followers
500+ connections
About
https://www.amiratag.com/
I received my Ph.D. in Machine Learning from the…
Experience
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Education
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Stanford University
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Activities and Societies: Stanford Graduate Fellowship (SGF) Robert Bosch Fellow (the most prestigious Stanford fellowship awarded to graduate students.)
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Activities and Societies: Iran's National Elite Foundation Scholarship
-Ranked 2nd, Class of 2012-2016
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Licenses & Certifications
Publications
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How Does Mixup Help With Robustness and Generalization?
International Conference on Learning Representations (ICLR)
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Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
International Conference on Artificial Intelligence and Statistics
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A Distributional Framework for Data Valuation
Proceedings of the 37th International Conference on Machine Learning, PMLR
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Neuron Shapley: Discovering the Responsible Neurons
Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
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Interpretation of neural networks is fragile
The Thirty-Third AAAI Conference on Artificial Intelligence
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Data Shapley: Equitable Valuation of Data for Machine Learning
36th International Conference on Machine Learning
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Knockoffs for the mass: new feature importance statistics with false discovery guarantees
The 22nd International Conference on Artificial Intelligence and Statistics
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Multiaccuracy: Black-box post-processing for fairness in classification
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
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Towards Automatic Concept-based Explanations
Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
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Embedding for Informative Missingness: Deep Learning With Incomplete Data
56th Annual Allerton Conference on Communication, Control, and Computing
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Blind iterative non-linear distortion compensation based on thresholding
IEEE transactions on circuits & systems II
The sampling process in electrical devices includes non-linear distortion which needs to be compensated to boost up the system efficiency. In this paper, a blind method is suggested for non-linear distortion compensation. The core idea is to leverage the sparsity of the signal to cope with the ill-posedness of the distortion compensation task.
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Courses
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Analysis of Deep Learning
STATS 385
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Biomedical Image Analysis and Interpretation
BIOMEDIN260
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Convex Optimization
EE 364a
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Convolutional Neural Networks for Visual Recognition
CS 231n
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Data Mining
STATS 315B
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Deep Learning in Genomics and Biomedicine
CS 273b
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Digital Image Processing
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Linear Dynamical Systems
EE 263
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Machine Learning
CS 229
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Natural Language Processing with Deep Learning
CS 224N
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Probabilistic Graphical Models
CS228
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Reinforcement Learning
MS&E 338
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Statistical Signal Processing
EE 278
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Theory Of Statistics I
STATS300A
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Wireless Communications
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Honors & Awards
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3rd Rank, Stanford EE PhD Qualifying Exam (among more than 80 PhD students)
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Stanford Graduate Fellowship in Science & Engineering (Robert Bosch Fellow)
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Only offered to the most outstanding students pursuing doctoral degrees in science and engineering.
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Ranked 2nd in Sharif University Electrical Engineering Undergraduate Class of 2016
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Member of Iran's National Elite Foundation
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Ranked 9th in Iran's Nationwide University Entrance Exam
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Test Scores
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Graduate Record Examinations (GRE)
Score: 325
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Test of English as a Foreign Language (TOEFL)
Score: 112
Languages
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English
Full professional proficiency
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Azerbaijani
Native or bilingual proficiency
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Persian
Native or bilingual proficiency
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