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个人简介
My research spans theory and practice of statistical inference and machine learning:
Reproducibility in science, leveraging state-of-the-art techniques in machine learning and selective inference to make new replicable discoveries.
Prediction with confidence, by developing methodologies for distribution-free uncertainty estimation that work with any complex predictive algorithm, such as neural nets and random forests.
Equitable treatment, designing tools that can be wrapped around any recommendation system to produce unbiased measures of prediction uncertainty.
Theory and practice of neural nets, by proposing and analyzing multi-layer convolutional sparse coding techniques and studying the stability of convolutional neural networks.
I also work on inverse problems, developing highly effective priors and algorithms for solving general image reconstruction problems. The super-resolution technology I invented together with Dr. Peyman Milanfar is being used in Google's flagship products (Pixel 2/XL Phones, Google Clips, Google+, and Motion Stills), increasing the quality of billions of images and bringing significant bandwidth savings.
Reproducibility in science, leveraging state-of-the-art techniques in machine learning and selective inference to make new replicable discoveries.
Prediction with confidence, by developing methodologies for distribution-free uncertainty estimation that work with any complex predictive algorithm, such as neural nets and random forests.
Equitable treatment, designing tools that can be wrapped around any recommendation system to produce unbiased measures of prediction uncertainty.
Theory and practice of neural nets, by proposing and analyzing multi-layer convolutional sparse coding techniques and studying the stability of convolutional neural networks.
I also work on inverse problems, developing highly effective priors and algorithms for solving general image reconstruction problems. The super-resolution technology I invented together with Dr. Peyman Milanfar is being used in Google's flagship products (Pixel 2/XL Phones, Google Clips, Google+, and Motion Stills), increasing the quality of billions of images and bringing significant bandwidth savings.
研究兴趣
论文共 64 篇作者统计合作学者相似作者
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CoRR (2024)
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Yaniv Romano, Harel Primack, Talya Vaknin, Idan Meirzada, Ilan Karpas, Dov Furman, Chene Tradonsky, Ruti Ben Shlomi
ICLR 2024 (2024)
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CoRR (2023): 40578-40604
引用6浏览0EI引用
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Hod Wirzberger,Assaf Kalinski,Idan Meirzada,Harel Primack,Yaniv Romano,Chene Tradonsky, Ruti Ben Shlomi
arxiv(2023)
CoRR (2023)
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CoRRno. 99 (2023): 1-12
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