Ido Ben-Shaul

According to our database, Ido Ben-Shaul authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Artificial Expert Intelligence through PAC-reasoning.

Shai Shalev-Shwartz, Amnon Shashua, Gal Beniamini, Yoav Levine, Or Sharir, Noam Wies, Ido Ben-Shaul, Tomer Nussbaum, Shir Granot Peled

CoRR, 2024

2023

Deep Learning Solution of the Eigenvalue Problem for Differential Operators.

Ido Ben-Shaul, Leah Bar, Dalia Fishelov, Nir A. Sochen

Neural Comput., June, 2023

Comparative Generalization Bounds for Deep Neural Networks.

Tomer Galanti, Liane Galanti, Ido Ben-Shaul

Trans. Mach. Learn. Res., 2023

Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions.

Ido Ben-Shaul, Tomer Galanti, Shai Dekel

Trans. Mach. Learn. Res., 2023

Reverse Engineering Self-Supervised Learning.

Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pricing the Nearly Known - When Semantic Similarity is Just not Enough.

Gilad Fuchs, Pavel Petrov, Ido Ben-Shaul, Matan Mandelbrod, Oded Zinman, Dmitry Basin, Vadim Arshavsky

Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

2022

Nearest Class-Center Simplification through Intermediate Layers.

Ido Ben-Shaul, Shai Dekel

Proceedings of the Topological, 2022

Is it out yet? Automatic Future Product Releases Extraction from Web Data.

Gilad Fuchs, Ido Ben-Shaul, Matan Mandelbrod

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021

Sparsity-Probe: Analysis tool for Deep Learning Models.

Ido Ben-Shaul, Shai Dekel

CoRR, 2021

2020

Solving the functional Eigen-Problem using Neural Networks.

Ido Ben-Shaul, Leah Bar, Nir A. Sochen

CoRR, 2020

Certainty Pooling for Multiple Instance Learning.

Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020