Gil Shabat - RankMe

23 papers C 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Geometry of the Pivot: A Note on Lazy Pivoted Cholesky and Farthest Point Sampling. CoRR Gil Shabat
2025	J	`jnl`	Adversarial Bandit over Bandits: Hierarchical Bandits for Online Configuration Management. CoRR Chen Avin, Zvi Lotker, Shie Mannor, Gil Shabat, Hanan Shteingart, Roey Yadgar
2024	—	`conf`	Optimizing the PTP Control Loop. ISPCS Thomas Kernen, Maciek Machnikowski, Gil Shabat, Hanan Shteingart
2023	—	`ch.`	Deep Learning Quantile Regression for Robustness, Confidence and Planning. Artificial Intelligence and Cybersecurity Dvir Ben Or, Michael Kolomenkin, Tanya Osokin, Gil Shabat, Hanan Shteingart
2022	J	`jnl`	Machine Learning Prescriptive Canvas for Optimizing Business Outcomes. CoRR Hanan Shteingart, Gerben Oostra, Ohad Levinkron, Naama Parush, Gil Shabat, Daniel Aronovich
2021	C	`conf`	DL-DDA - Deep Learning based Dynamic Difficulty Adjustment with UX and Gameplay constraints. CoG Dvir Ben Or, Michael Kolomenkin, Gil Shabat
2021	J	`jnl`	DL-DDA - Deep Learning based Dynamic Difficulty Adjustment with UX and Gameplay constraints. CoRR Dvir Ben Or, Michael Kolomenkin, Gil Shabat
2021	J	`jnl`	Fast and Accurate Gaussian Kernel Ridge Regression Using Matrix Decompositions for Preconditioning. SIAM J. Matrix Anal. Appl. Gil Shabat, Era Choshen, Dvir Ben Or, Nadav Carmel
2021	J	`jnl`	Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees. CoRR Guy Wolf, Gil Shabat, Hanan Shteingart
2020	J	`jnl`	Generalized Quantile Loss for Deep Neural Networks. CoRR Dvir Ben-Or, Michael Kolomenkin, Gil Shabat
2020	J	`jnl`	Majority Voting and the Condorcet's Jury Theorem. CoRR Hanan Shteingart, Eran Marom, Igor Itkin, Gil Shabat, Michael Kolomenkin, Moshe Salhov, Liran Katzir
2019	J	`jnl`	Fast and Accurate Gaussian Kernel Ridge Regression Using Matrix Decompositions for Preconditioning. CoRR Gil Shabat, Era Choshen, Dvir Ben-Or, Nadav Carmel
2017	J	`jnl`	Similarity Search Over Graphs Using Localized Spectral Analysis. CoRR Yariv Aizenbud, Amir Averbuch, Gil Shabat, Guy Ziv
2017	—	`conf`	Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends. ADF@KDD Gil Shabat, David Segev, Amir Averbuch
2016	J	`jnl`	Direct Inversion of the Three-Dimensional Pseudo-polar Fourier Transform. SIAM J. Sci. Comput. Amir Averbuch, Gil Shabat, Yoel Shkolnisky
2016	J	`jnl`	Randomized LU Decomposition Using Sparse Projections. CoRR Yariv Aizenbud, Gil Shabat, Amir Averbuch
2016	J	`jnl`	Randomized LU decomposition using sparse projections. Comput. Math. Appl. Yariv Aizenbud, Gil Shabat, Amir Averbuch
2015	J	`jnl`	Accelerating Particle Filter Using Randomized Multiscale and Fast Multipole Type Methods. IEEE Trans. Pattern Anal. Mach. Intell. Gil Shabat, Yaniv Shmueli, Amit Bermanis, Amir Averbuch
2015	J	`jnl`	Direct Inversion of the 3D Pseudo-polar Fourier Transform. CoRR Amir Averbuch, Gil Shabat, Yoel Shkolnisky
2013	J	`jnl`	Missing Entries Matrix Approximation and Completion CoRR Gil Shabat, Yaniv Shmueli, Amir Averbuch
2013	J	`jnl`	Randomized LU Decomposition. CoRR Gil Shabat, Yaniv Shmueli, Amir Averbuch
2012	J	`jnl`	Potentials and Limits of Super-Resolution Algorithms and Signal Reconstruction from Sparse Data CoRR Gil Shabat
2008	—	`conf`	Super-resolution of turbulent video: potentials and limitations. Image Processing: Algorithms and Systems Leonid P. Yaroslavsky, Gil Shabat, Barak Fishbain, Ianir A. Ideses