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ORCIDIdo Ben-Shaul
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2020 – today
- 2023
[j3]Ido Ben-Shaul, Leah Bar, Dalia Fishelov, Nir A. Sochen:
Deep Learning Solution of the Eigenvalue Problem for Differential Operators. Neural Comput. 35(6): 1100-1134 (2023)- [j2]Ido Ben-Shaul, Tomer Galanti, Shai Dekel:
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions. Trans. Mach. Learn. Res. 2023 (2023) - [j1]Tomer Galanti, Liane Galanti, Ido Ben-Shaul:
Comparative Generalization Bounds for Deep Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [c5]Gilad Fuchs, Pavel Petrov, Ido Ben-Shaul, Matan Mandelbrod, Oded Zinman, Dmitry Basin, Vadim Arshavsky:
Pricing the Nearly Known - When Semantic Similarity is Just not Enough. eCom@SIGIR 2023 - [c4]Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun:
Reverse Engineering Self-Supervised Learning. NeurIPS 2023 - [i6]Ido Ben-Shaul, Tomer Galanti, Shai Dekel:
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions. CoRR abs/2301.04605 (2023) - [i5]Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun:
Reverse Engineering Self-Supervised Learning. CoRR abs/2305.15614 (2023) - 2022
- [c3]Gilad Fuchs, Ido Ben-Shaul, Matan Mandelbrod:
Is it out yet? Automatic Future Product Releases Extraction from Web Data. EMNLP (Industry Track) 2022: 263-271 - [c2]Ido Ben-Shaul, Shai Dekel:
Nearest Class-Center Simplification through Intermediate Layers. TAG-ML 2022: 37-47 - [i4]Ido Ben-Shaul, Shai Dekel:
Nearest Class-Center Simplification through Intermediate Layers. CoRR abs/2201.08924 (2022) - 2021
- [i3]Ido Ben-Shaul, Shai Dekel:
Sparsity-Probe: Analysis tool for Deep Learning Models. CoRR abs/2105.06849 (2021) - 2020
- [c1]Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman:
Certainty Pooling for Multiple Instance Learning. ICPR Workshops (1) 2020: 141-153 - [i2]Ido Ben-Shaul, Leah Bar, Nir A. Sochen:
Solving the functional Eigen-Problem using Neural Networks. CoRR abs/2007.10205 (2020) - [i1]Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman:
Certainty Pooling for Multiple Instance Learning. CoRR abs/2008.10548 (2020)
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