Ido Ben-Shaul

17 papers A* 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
FormulaOne: Measuring the Depth of Algorithmic Reasoning Beyond Competitive Programming.
CoRR
Gal Beniamini, Yuval Dor, Alon Vinnikov, Shir Granot Peled, Or Weinstein, Or Sharir, Noam Wies, Tomer Nussbaum, Ido Ben-Shaul, Tomer Zekharya, Yoav Levine, Shai Shalev-Shwartz, Amnon Shashua
2025 — conf
Practical Fact Checking System for LLMs.
WWW (Companion Volume)
Gilad Fuchs, Oded Zinman, Ido Ben-Shaul
2024 J jnl
Artificial Expert Intelligence through PAC-reasoning.
CoRR
Shai Shalev-Shwartz, Amnon Shashua, Gal Beniamini, Yoav Levine, Or Sharir, Noam Wies, Ido Ben-Shaul, Tomer Nussbaum, Shir Granot Peled
2023 J jnl
Comparative Generalization Bounds for Deep Neural Networks.
Trans. Mach. Learn. Res.
Tomer Galanti, Liane Galanti, Ido Ben-Shaul
2023 J jnl
Deep Learning Solution of the Eigenvalue Problem for Differential Operators.
Neural Comput.
Ido Ben-Shaul, Leah Bar, Dalia Fishelov, Nir A. Sochen
2023 J jnl
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions.
CoRR
Ido Ben-Shaul, Tomer Galanti, Shai Dekel
2023 J jnl
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions.
Trans. Mach. Learn. Res.
Ido Ben-Shaul, Tomer Galanti, Shai Dekel
2023 — conf
Pricing the Nearly Known - When Semantic Similarity is Just not Enough.
eCom@SIGIR
Gilad Fuchs, Pavel Petrov, Ido Ben-Shaul, Matan Mandelbrod, Oded Zinman, Dmitry Basin, Vadim Arshavsky
2023 A* conf
Reverse Engineering Self-Supervised Learning.
NeurIPS
Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun
2023 J jnl
Reverse Engineering Self-Supervised Learning.
CoRR
Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun
2022 — conf
Is it out yet? Automatic Future Product Releases Extraction from Web Data.
EMNLP (Industry Track)
Gilad Fuchs, Ido Ben-Shaul, Matan Mandelbrod
2022 — conf
Nearest Class-Center Simplification through Intermediate Layers.
TAG-ML
Ido Ben-Shaul, Shai Dekel
2022 J jnl
Nearest Class-Center Simplification through Intermediate Layers.
CoRR
Ido Ben-Shaul, Shai Dekel
2021 J jnl
Sparsity-Probe: Analysis tool for Deep Learning Models.
CoRR
Ido Ben-Shaul, Shai Dekel
2020 — conf
Certainty Pooling for Multiple Instance Learning.
ICPR Workshops (1)
Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
2020 J jnl
Certainty Pooling for Multiple Instance Learning.
CoRR
Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
2020 J jnl
Solving the functional Eigen-Problem using Neural Networks.
CoRR
Ido Ben-Shaul, Leah Bar, Nir A. Sochen