Yuval Meir

Yuval Meir

PhD | AI Research Scientist

Bar-Ilan University


📢 I'm looking for a job as AI Research Scientist in Deep Learning and Computer Vision.

I am a final year PhD candidate in the Physics Department at Bar-Ilan University, fortunate to be advised by Prof. Ido Kanter.

My research has centered on developing advanced algorithms for artificial intelligence, deep learning, and computer vision, contributing to the advancement of the theory of these fields, as well as creating brain inspired algorithms that enhance AI.

Email: yuvalmeir78 [at] gmail.com

📄 Publications

* denotes equal contribution

Scaling in Deep and Shallow Learning Architectures

Ella Koresh *, Tal Halevi *, Yuval Meir *, Dolev Dilmoney, Tamar Dror, Ronit D. Gross, Ofek Tevet, Shiri Hodassman, Ido Kanter
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Scaling in Deep and Shallow Learning Architectures

Advanced confidence methods in deep learning

Yuval Meir, Ofek Tevet, Ella Koresh, Yarden Tzach, Ido Kanter
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Advanced confidence methods in deep learning

Towards a universal mechanism for successful deep learning

Yuval Meir, Yarden Tzach, Shiri Hodassman, Ofek Tevet, Ido Kanter
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Towards a universal mechanism for successful deep learning

Efficient shallow learning mechanism as an alternative to deep learning

Ofek Tevet, Ronit D. Gross, Shiri Hodassman, Tal Rogachevsky, Yarden Tzach, Yuval Meir, Ido Kanter
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Efficient shallow learning mechanism as an alternative to deep learning

Enhancing the accuracies by performing pooling decisions adjacent to the output layer

Yuval Meir, Yarden Tzach, Ronit D. Gross, Ofek Tevet, Roni Vardi, Ido Kanter
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Enhancing the accuracies by performing pooling decisions adjacent to the output layer

The mechanism underlying successful deep learning

Yarden Tzach, Yuval Meir, Ofek Tevet, Ronit D. Gross, Shiri Hodassman, Roni Vardi, Ido Kanter
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The mechanism underlying successful deep learning

Efficient shallow learning as an alternative to deep learning

Yuval Meir, Ofek Tevet, Yarden Tzach, Shiri Hodassman, Ronit D. Gross, Ido Kanter
PDF
Efficient shallow learning as an alternative to deep learning

Learning on tree architectures outperforms a convolutional feedforward network

Yuval Meir, Itamar Ben-Noam, Yarden Tzach, Shiri Hodassman, Ido Kanter
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Learning on tree architectures outperforms a convolutional feedforward network

Brain inspired neuronal silencing mechanism to enable reliable sequence identification

Shiri Hodassman *, Yuval Meir *, Karin Kisos, Itamar Ben-Noam, Yael Tugendhaft, Amir Goldental, Roni Vardi, Ido Kanter
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Brain inspired neuronal silencing mechanism to enable reliable sequence identification

Power-law scaling to assist with key challenges in artificial intelligence

Yuval Meir *, Shira Sardi *, Shiri Hodassman *, Karin Kisos, Itamar Ben-Noam, Amir Goldental, Ido Kanter
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Power-law scaling to assist with key challenges in artificial intelligence

Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms

Shira Sardi *, Roni Vardi, Yuval Meir *, Yael Tugendhaft, Shiri Hodassman, Amir Goldental, Ido Kanter
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Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms

👨‍🏫 Teaching

Teaching assistant at:

  • Information Theory and Learning Methods (course #27437), Bar-Ilan University, 2021 to 2024
  • Physics for Brain Science (course #27214), Bar-Ilan University, 2021 to 2024
  • General Physics for Biologists (course #80111), Bar-Ilan University, 2022 to 2023
  • General Optics Lab (course #82109), Bar-Ilan University, 2020