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ORCIDDaniela Rus
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Publications
- 2023
[j166]Vladimir Braverman
, Dan Feldman, Harry Lang, Daniela Rus, Adiel Statman:
Least-Mean-Squares Coresets for Infinite Streams. IEEE Trans. Knowl. Data Eng. 35(9): 8699-8712 (2023)- [c513]Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman:
Provable Data Subset Selection For Efficient Neural Networks Training. ICML 2023: 34533-34555 - [c506]Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman:
Deep Learning on Home Drone: Searching for the Optimal Architecture. ICRA 2023: 8208-8215 - [i130]Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman:
Provable Data Subset Selection For Efficient Neural Network Training. CoRR abs/2303.05151 (2023) - 2022
- [j151]Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus:
Sensitivity-Informed Provable Pruning of Neural Networks. SIAM J. Math. Data Sci. 4(1): 26-45 (2022) - [i94]Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman:
Deep Learning on Home Drone: Searching for the Optimal Architecture. CoRR abs/2209.11064 (2022) - 2021
- [j139]Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus:
On coresets for support vector machines. Theor. Comput. Sci. 890: 171-191 (2021) - [c457]Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman:
Deep Learning meets Projective Clustering. ICLR 2021 - [c432]Lucas Liebenwein, Alaa Maalouf, Dan Feldman, Daniela Rus:
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition. NeurIPS 2021: 5328-5344 - [i71]Cenk Baykal, Lucas Liebenwein, Dan Feldman, Daniela Rus:
Low-Regret Active learning. CoRR abs/2104.02822 (2021) - [i58]Lucas Liebenwein, Alaa Maalouf, Oren Gal, Dan Feldman, Daniela Rus:
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition. CoRR abs/2107.11442 (2021) - 2020
- [j131]Hayim Shaul, Dan Feldman, Daniela Rus:
Secure k-ish Nearest Neighbors Classifier. Proc. Priv. Enhancing Technol. 2020(3): 42-61 (2020) - [c417]Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus:
Provable Filter Pruning for Efficient Neural Networks. ICLR 2020 - [c396]Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus:
On Coresets for Support Vector Machines. TAMC 2020: 287-299 - [i52]Vladimir Braverman, Dan Feldman, Harry Lang, Daniela Rus, Adiel Statman:
Sparse Coresets for SVD on Infinite Streams. CoRR abs/2002.06296 (2020) - [i51]Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus:
On Coresets for Support Vector Machines. CoRR abs/2002.06469 (2020) - [i43]Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman:
Deep Learning Meets Projective Clustering. CoRR abs/2010.04290 (2020) - [i40]Hayim Shaul, Dan Feldman, Daniela Rus:
Secure k-ish nearest neighbors classifier. IACR Cryptol. ePrint Arch. 2020: 319 (2020) - 2019
- [c394]Vladimir Braverman, Dan Feldman, Harry Lang, Daniela Rus:
Streaming Coreset Constructions for M-Estimators. APPROX-RANDOM 2019: 62:1-62:15 - [c392]Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus:
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. ICLR (Poster) 2019 - [c355]Harry Lang, Cenk Baykal, Najib Abu Samra, Tony Tannous, Dan Feldman, Daniela Rus:
Deterministic Coresets for Stochastic Matrices with Applications to Scalable Sparse PageRank. TAMC 2019: 410-423 - [i36]Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus:
SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks. CoRR abs/1910.05422 (2019) - [i35]Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus:
Provable Filter Pruning for Efficient Neural Networks. CoRR abs/1911.07412 (2019) - 2018
- [i32]Hayim Shaul, Dan Feldman, Daniela Rus:
Scalable Secure Computation of Statistical Functions with Applications to k-Nearest Neighbors. CoRR abs/1801.07301 (2018) - [i30]Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus:
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. CoRR abs/1804.05345 (2018) - 2017
- [c329]Dan Feldman, Sedat Ozer, Daniela Rus:
Coresets for Vector Summarization with Applications to Network Graphs. ICML 2017: 1117-1125 - [c314]Dan Feldman, Chongyuan Xiang, Ruihao Zhu, Daniela Rus:
Coresets for differentially private k-means clustering and applications to privacy in mobile sensor networks. IPSN 2017: 3-15 - [i21]Dan Feldman, Sedat Ozer, Daniela Rus:
Coresets for Vector Summarization with Applications to Network Graphs. CoRR abs/1706.05554 (2017) - 2016
- [c288]Dan Feldman, Mikhail Volkov, Daniela Rus:
Dimensionality Reduction of Massive Sparse Datasets Using Coresets. NIPS 2016: 2766-2774 - 2015
- [j75]Dan Feldman, Cynthia R. Sung, Andrew Sugaya, Daniela Rus:
iDiary: From GPS Signals to a Text- Searchable Diary. ACM Trans. Sens. Networks 11(4): 60:1-60:41 (2015) - [c278]Mikhail Volkov, Guy Rosman, Dan Feldman, John W. Fisher III, Daniela Rus:
Coresets for visual summarization with applications to loop closure. ICRA 2015: 3638-3645 - [c275]Soliman Nasser, Andew Barry, Marek Doniec, Guy Peled, Guy Rosman, Daniela Rus, Mikhail Volkov, Dan Feldman:
Fleye on the car: big data meets the internet of things. IPSN 2015: 382-383 - [i16]Dan Feldman, Mikhail Volkov, Daniela Rus:
Dimensionality Reduction of Massive Sparse Datasets Using Coresets. CoRR abs/1503.01663 (2015) - 2014
- [c255]Rohan Paul, Dan Feldman, Daniela Rus, Paul Newman:
Visual precis generation using coresets. ICRA 2014: 1304-1311 - [c237]Guy Rosman, Mikhail Volkov, Dan Feldman, John W. Fisher III, Daniela Rus:
Coresets for k-Segmentation of Streaming Data. NIPS 2014: 559-567 - 2013
- [c221]Dan Feldman, Stephanie Gil, Ross A. Knepper, Brian J. Julian, Daniela Rus:
K-robots clustering of moving sensors using coresets. ICRA 2013: 881-888 - [c201]Dan Feldman, Andrew Sugaya, Cynthia R. Sung, Daniela Rus:
iDiary: from GPS signals to a text-searchable diary. SenSys 2013: 6:1-6:12 - 2012
- [c197]Dan Feldman, Cynthia R. Sung, Daniela Rus:
The single pixel GPS: learning big data signals from tiny coresets. SIGSPATIAL/GIS 2012: 23-32 - [c188]Dan Feldman, Andrew Sugaya, Daniela Rus:
An effective coreset compression algorithm for large scale sensor networks. IPSN 2012: 257-268 - [c186]Cynthia R. Sung, Dan Feldman, Daniela Rus:
Trajectory clustering for motion prediction. IROS 2012: 1547-1552 - [c182]Stephanie Gil, Dan Feldman, Daniela Rus:
Communication coverage for independently moving robots. IROS 2012: 4865-4872
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