Alaa Maalouf
13 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(10)
Optimization & Theory Β· Machine Learning
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Application Areas
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Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Core Methods
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Computer Vision
(2)
Analysis
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Applications
(1)
Keywords
approximation algorithm
(4)
coreset construction
(4)
model compression
(3)
matrix factorization
(2)
caratheodory theorem
(2)
dataset distillation
(2)
anomaly detection
(1)
neural network training
(1)
neural network pruning
(1)
function approximation
(1)
point cloud registration
(1)
data subset selection
(1)
knowledge distillation
(1)
multimodal learning
(1)
k-means clustering
(1)
semantic segmentation
(1)
lasso regression
(1)
low-rank decomposition
(1)
singular value decomposition
(1)
scene representation
(1)
Papers
Large Scale Dataset Distillation with Domain Shift
ICML 2024
AutoCoreset: An Automatic Practical Coreset Construction Framework
ICML 2023
ConceptFusion: Open-set multimodal 3D mapping
RSS 2023
On the Size and Approximation Error of Distilled Datasets
NeurIPS 2023
Provable Data Subset Selection For Efficient Neural Networks Training
ICML 2023
Coresets for Data Discretization and Sine Wave Fitting
AISTATS 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions
NeurIPS 2022
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
NeurIPS 2021
Deep Learning meets Projective Clustering
ICLR 2021
Provably Approximated Point Cloud Registration
ICCV 2021
Coresets for Near-Convex Functions
NeurIPS 2020
Sets Clustering
ICML 2020
Fast and Accurate Least-Mean-Squares Solvers
NeurIPS 2019