Alaa Maalouf

Krishna Murthy Jatavallabhula

Ninad Jadhav

IEEE Robotics Autom. Lett., 2024

Flex: End-to-End Text-Instructed Visual Navigation with Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Probing Multimodal LLMs as World Models for Driving.

[BibT_eX]

[DOI]

CoRR, 2024

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Large Scale Dataset Distillation with Domain Shift.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Follow Anything: Open-set detection, tracking, and following in real-time.

[BibT_eX]

[DOI]

Krishna Murthy Jatavallabhula

Ninad Jadhav

CoRR, 2023

Dataset Distillation Meets Provable Subset Selection.

[BibT_eX]

[DOI]

Murad Tukan

Krishna Murthy Jatavallabhula

Margarita Osadchy

CoRR, 2023

On the Size and Approximation Error of Distilled Sets.

[BibT_eX]

[DOI]

CoRR, 2023

Provable Data Subset Selection For Efficient Neural Network Training.

[BibT_eX]

[DOI]

CoRR, 2023

ConceptFusion: Open-set multimodal 3D mapping.

[BibT_eX]

[DOI]

Alihusein Kuwajerwala

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

On the Size and Approximation Error of Distilled Datasets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Learning on Home Drone: Searching for the Optimal Architecture.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Provable Data Subset Selection For Efficient Neural Networks Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

AutoCoreset: An Automatic Practical Coreset Construction Framework.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

MDL-BOOST: Constructing Efficient Machine/Deep Learning Systems via Data and Model Compression.

[BibT_eX]

[DOI]

PhD thesis, 2022

Fast and Accurate Least-Mean-Squares Solvers for High Dimensional Data.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions.

[BibT_eX]

[DOI]

Murad Tukan

Loay Mualem

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Obstacle Aware Sampling for Path Planning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Coresets for Data Discretization and Sine Wave Fitting.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Overview of accurate coresets.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2021

No Fine-Tuning, No Cry: Robust SVD for Compressing Deep Networks.

[BibT_eX]

[DOI]

Sensors, 2021

Coresets for the Average Case Error for Finite Query Sets.

[BibT_eX]

[DOI]

Sensors, 2021

Introduction to Coresets: Approximated Mean.

[BibT_eX]

[DOI]

CoRR, 2021

Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition.

[BibT_eX]

[DOI]

CoRR, 2021

Provably Approximated ICP.

[BibT_eX]

[DOI]

CoRR, 2021

Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Learning meets Projective Clustering.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Provably Approximated Point Cloud Registration.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Compressed Deep Networks: Goodbye SVD, Hello Robust Low-Rank Approximation.

[BibT_eX]

[DOI]

CoRR, 2020

Faster PAC Learning and Smaller Coresets via Smoothed Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

Coresets for Near-Convex Functions.

[BibT_eX]

[DOI]

Murad Tukan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Tight Sensitivity Bounds For Smaller Coresets.

[BibT_eX]

[DOI]

Adiel Statman

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Sets Clustering.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Introduction to Coresets: Accurate Coresets.

[BibT_eX]

[DOI]

CoRR, 2019

Fast and Accurate Least-Mean-Squares Solvers.

[BibT_eX]

[DOI]