Using Partial Monotonicity in Submodular Maximization. - Loay Mualem; Moran Feldman (NeurIPS, 2022)

Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions. - Murad Tukan; Loay Mualem; Alaa Maalouf (NeurIPS, 2022)

Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets. - Loay Mualem; Moran Feldman (AISTATS, 2023)

ORBSLAM3-Enhanced Autonomous Toy Drones: Pioneering Indoor Exploration. - Murad Tukan; Fares Fares; Yotam Grufinkle; Ido Talmor; Loay Mualem; Vladimir Braverman; Dan Feldman (CoRR, 2023)

Online Bin Packing of Squares and Cubes. - Leah Epstein; Loay Mualem (Algorithmica, 2023)

Submodular Minimax Optimization: Finding Effective Sets. - Loay Raed Mualem; Ethan R. Elenberg; Moran Feldman; Amin Karbasi (AISTATS, 2024)

Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization. - Loay Mualem; Murad Tukan; Moran Feldman (IJCAI, 2024)

Practical 0.385-Approximation for Submodular Maximization Subject to a Cardinality Constraint. - Murad Tukan; Loay Mualem; Moran Feldman (NeurIPS, 2024)

Privacy Preserving Epigenetic PaceMaker: Stronger Privacy and Improved Efficiency. - Meir Goldenberg; Loay Mualem; Amit Shahar; Sagi Snir; Adi Akavia (RECOMB, 2024)

Improving Model Classification by Optimizing the Training Dataset. - Morad Tukan; Loay Mualem; Eitan Netzer; Liran Sigalat (CoRR, 2025)