Maalouf, Alaa

13 publications

NeurIPS 2025 Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma, Daniela Rus

ICML 2024 Large Scale Dataset Distillation with Domain Shift Noel Loo, Alaa Maalouf, Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus

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

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

NeurIPS 2021 Compressing Neural Networks: Towards Determining the Optimal Layer-Wise Decomposition Lucas Liebenwein, Alaa Maalouf, Dan Feldman, Daniela Rus

ICLR 2021 Deep Learning Meets Projective Clustering Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman

ICCV 2021 Provably Approximated Point Cloud Registration Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman

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

NeurIPS 2019 Fast and Accurate Least-Mean-Squares Solvers Alaa Maalouf, Ibrahim Jubran, Dan Feldman