Super-resolution of turbulent video: potentials and limitations. - Leonid P. Yaroslavsky; Gil Shabat; Barak Fishbain; Ianir A. Ideses (Image Processing: Algorithms and Systems, 2008)

Potentials and Limits of Super-Resolution Algorithms and Signal Reconstruction from Sparse Data - Gil Shabat (CoRR, 2012)

Randomized LU Decomposition. - Gil Shabat; Yaniv Shmueli; Amir Averbuch (CoRR, 2013)

Missing Entries Matrix Approximation and Completion - Gil Shabat; Yaniv Shmueli; Amir Averbuch (CoRR, 2013)

Direct Inversion of the 3D Pseudo-polar Fourier Transform. - Amir Averbuch; Gil Shabat; Yoel Shkolnisky (CoRR, 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)

Randomized LU decomposition using sparse projections. - Yariv Aizenbud; Gil Shabat; Amir Averbuch (Comput. Math. Appl., 2016)

Direct Inversion of the Three-Dimensional Pseudo-polar Fourier Transform. - Amir Averbuch; Gil Shabat; Yoel Shkolnisky (SIAM J. Sci. Comput., 2016)

Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends. - Gil Shabat; David Segev; Amir Averbuch (ADF@KDD, 2017)

Similarity Search Over Graphs Using Localized Spectral Analysis. - Yariv Aizenbud; Amir Averbuch; Gil Shabat; Guy Ziv (CoRR, 2017)

Majority Voting and the Condorcet's Jury Theorem. - Hanan Shteingart; Eran Marom; Igor Itkin; Gil Shabat; Michael Kolomenkin; Moshe Salhov; Liran Katzir 001 (CoRR, 2020)

Generalized Quantile Loss for Deep Neural Networks. - Dvir Ben-Or; Michael Kolomenkin; Gil Shabat (CoRR, 2020)

DL-DDA - Deep Learning based Dynamic Difficulty Adjustment with UX and Gameplay constraints. - Dvir Ben Or; Michael Kolomenkin; Gil Shabat (CoG, 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)

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)

Machine Learning Prescriptive Canvas for Optimizing Business Outcomes. - Hanan Shteingart; Gerben Oostra; Ohad Levinkron; Naama Parush; Gil Shabat; Daniel Aronovich (CoRR, 2022)

Deep Learning Quantile Regression for Robustness, Confidence and Planning. - Dvir Ben Or; Michael Kolomenkin; Tanya Osokin; Gil Shabat; Hanan Shteingart (Artificial Intelligence and Cybersecurity, 2023)

Optimizing the PTP Control Loop. - Thomas Kernen; Maciek Machnikowski; Gil Shabat; Hanan Shteingart (ISPCS, 2024)

Adversarial Bandit over Bandits: Hierarchical Bandits for Online Configuration Management. - Chen Avin; Zvi Lotker; Shie Mannor; Gil Shabat; Hanan Shteingart; Roey Yadgar (CoRR, 2025)