Gil Shabat

According to our database, Gil Shabat authored at least 18 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimizing the PTP Control Loop.

Thomas Kernen, Maciek Machnikowski, Gil Shabat, Hanan Shteingart

Proceedings of the IEEE International Symposium on Precision Clock Synchronization for Measurement, 2024

2023

Deep Learning Quantile Regression for Robustness, Confidence and Planning.

Dvir Ben Or, Michael Kolomenkin, Tanya Osokin, Gil Shabat, Hanan Shteingart

Proceedings of the Artificial Intelligence and Cybersecurity: Theory and Applications, 2023

2022

Machine Learning Prescriptive Canvas for Optimizing Business Outcomes.

Hanan Shteingart, Gerben Oostra, Ohad Levinkron, Naama Parush, Gil Shabat, Daniel Aronovich

CoRR, 2022

2021

Fast and Accurate Gaussian Kernel Ridge Regression Using Matrix Decompositions for Preconditioning.

Gil Shabat, Era Choshen, Dvir Ben Or, Nadav Carmel

SIAM J. Matrix Anal. Appl., 2021

Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees.

Guy Wolf, Gil Shabat, Hanan Shteingart

CoRR, 2021

DL-DDA - Deep Learning based Dynamic Difficulty Adjustment with UX and Gameplay constraints.

Dvir Ben Or, Michael Kolomenkin, Gil Shabat

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Generalized Quantile Loss for Deep Neural Networks.

Dvir Ben-Or, Michael Kolomenkin, Gil Shabat

CoRR, 2020

Majority Voting and the Condorcet's Jury Theorem.

Hanan Shteingart, Eran Marom, Igor Itkin, Gil Shabat, Michael Kolomenkin, Moshe Salhov, Liran Katzir

CoRR, 2020

2017

Similarity Search Over Graphs Using Localized Spectral Analysis.

Yariv Aizenbud, Amir Averbuch, Gil Shabat, Guy Ziv

CoRR, 2017

Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends.

Gil Shabat, David Segev, Amir Averbuch

Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, 2017

2016

Direct Inversion of the Three-Dimensional Pseudo-polar Fourier Transform.

Amir Averbuch, Gil Shabat, Yoel Shkolnisky

SIAM J. Sci. Comput., 2016

Randomized LU decomposition using sparse projections.

Yariv Aizenbud, Gil Shabat, Amir Averbuch

Comput. Math. Appl., 2016

2015

Accelerating Particle Filter Using Randomized Multiscale and Fast Multipole Type Methods.

Gil Shabat, Yaniv Shmueli, Amit Bermanis, Amir Averbuch

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Direct Inversion of the 3D Pseudo-polar Fourier Transform.

Amir Averbuch, Gil Shabat, Yoel Shkolnisky

CoRR, 2015

2013

Missing Entries Matrix Approximation and Completion

Gil Shabat, Yaniv Shmueli, Amir Averbuch

CoRR, 2013

Randomized LU Decomposition.

Gil Shabat, Yaniv Shmueli, Amir Averbuch

CoRR, 2013

2012

Potentials and Limits of Super-Resolution Algorithms and Signal Reconstruction from Sparse Data

Gil Shabat

CoRR, 2012

2008

Super-resolution of turbulent video: potentials and limitations.

Leonid P. Yaroslavsky, Gil Shabat, Barak Fishbain, Ianir A. Ideses

Proceedings of the Image Processing: Algorithms and Systems VI, 2008