Murad Tukan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 30

Top Topics

Subset Selection

Top Venues

Publications

Murad Tukan, Loay Mualem, Moran Feldman
Practical 0.385-Approximation for Submodular Maximization Subject to a Cardinality Constraint. CoRR (2024)
Loay Mualem, Murad Tukan, Moran Feldman
Bridging the Gap Between General and Down-Closed Convex Sets in Submodular Maximization. CoRR (2024)
Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus
AutoCoreset: An Automatic Practical Coreset Construction Framework. CoRR (2023)
Murad Tukan, Eli Biton, Roee Diamant
An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity Fields. CoRR (2023)
Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman
Provable Data Subset Selection For Efficient Neural Network Training. CoRR (2023)
Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
On the Size and Approximation Error of Distilled Sets. CoRR (2023)
Murad Tukan, Alaa Maalouf, Margarita Osadchy
Dataset Distillation Meets Provable Subset Selection. CoRR (2023)
Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman
Provable Data Subset Selection For Efficient Neural Networks Training. ICML (2023)
Murad Tukan, Fares Fares, Yotam Grufinkle, Ido Talmor, Loay Mualem, Vladimir Braverman, Dan Feldman
ORBSLAM3-Enhanced Autonomous Toy Drones: Pioneering Indoor Exploration. CoRR (2023)
Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus
AutoCoreset: An Automatic Practical Coreset Construction Framework. ICML (2023)
Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
On the Size and Approximation Error of Distilled Datasets. NeurIPS (2023)
Murad Tukan, Alaa Maalouf, Dan Feldman, Roi Poranne
Obstacle Aware Sampling for Path Planning. CoRR (2022)
Murad Tukan, Alaa Maalouf, Dan Feldman, Roi Poranne
Obstacle Aware Sampling for Path Planning. IROS (2022)
Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman
Coresets for Data Discretization and Sine Wave Fitting. AISTATS (2022)
Murad Tukan, Xuan Wu, Samson Zhou, Vladimir Braverman, Dan Feldman
New Coresets for Projective Clustering and Applications. AISTATS (2022)
Murad Tukan, Xuan Wu, Samson Zhou, Vladimir Braverman, Dan Feldman
New Coresets for Projective Clustering and Applications. CoRR (2022)
Murad Tukan, Loay Mualem, Alaa Maalouf
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions. NeurIPS (2022)
Alaa Maalouf, Murad Tukan, Eric Price, Daniel Kane, Dan Feldman
Coresets for Data Discretization and Sine Wave Fitting. CoRR (2022)
Murad Tukan, Loay Mualem, Alaa Maalouf
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions. CoRR (2022)
Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus
On coresets for support vector machines. Theor. Comput. Sci. 890 (2021)
Alaa Maalouf, Ibrahim Jubran, Murad Tukan, Dan Feldman
Coresets for the Average Case Error for Finite Query Sets. Sensors 21 (19) (2021)
Murad Tukan, Alaa Maalouf, Matan Weksler, Dan Feldman
No Fine-Tuning, No Cry: Robust SVD for Compressing Deep Networks. Sensors 21 (16) (2021)
Murad Tukan, Alaa Maalouf, Dan Feldman
Coresets for Near-Convex Functions. NeurIPS (2020)
Murad Tukan, Alaa Maalouf, Matan Weksler, Dan Feldman
Compressed Deep Networks: Goodbye SVD, Hello Robust Low-Rank Approximation. CoRR (2020)
Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus
On Coresets for Support Vector Machines. TAMC (2020)
Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman
Sets Clustering. CoRR (2020)
Murad Tukan, Alaa Maalouf, Dan Feldman
Coresets for Near-Convex Functions. CoRR (2020)
Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman
Sets Clustering. ICML (2020)
Alaa Maalouf, Ibrahim Jubran, Murad Tukan, Dan Feldman
Faster PAC Learning and Smaller Coresets via Smoothed Analysis. CoRR (2020)
Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus
On Coresets for Support Vector Machines. CoRR (2020)