Tukan, Murad

10 publications

IJCAI 2024 Bridging the Gap Between General and Down-Closed Convex Sets in Submodular Maximization Loay Mualem, Murad Tukan, Moran Feldman

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

ICML 2023 AutoCoreset: An Automatic Practical Coreset Construction Framework Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus

NeurIPS 2023 On the Size and Approximation Error of Distilled Datasets Alaa Maalouf, Murad Tukan, Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus

ICML 2023 Provable Data Subset Selection for Efficient Neural Networks Training Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman

AISTATS 2022 Coresets for Data Discretization and Sine Wave Fitting Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman

AISTATS 2022 New Coresets for Projective Clustering and Applications Murad Tukan, Xuan Wu, Samson Zhou, Vladimir Braverman, Dan Feldman

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

NeurIPS 2020 Coresets for Near-Convex Functions Murad Tukan, Alaa Maalouf, Dan Feldman

ICML 2020 Sets Clustering Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman