Dan Feldman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
17
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WALCOM | Linear Time Small Coresets for k-Mean Clustering of Segments with Applications. | David Denisov, Shlomi Dolev, Dan Feldman, Michael Segal |
| 2023 | ICML | Provable Data Subset Selection For Efficient Neural Networks Training. | Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman |
| 2023 | ICRA | Deep Learning on Home Drone: Searching for the Optimal Architecture. | Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman |
| 2022 | AISTATS | Coresets for Data Discretization and Sine Wave Fitting. | Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman |
| 2022 | AISTATS | New Coresets for Projective Clustering and Applications. | Murad Tukan, Xuan Wu, Samson Zhou, Vladimir Braverman, Dan Feldman |
| 2022 | ICML | Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more. | Elad Tolochinsky, Ibrahim Jubran, Dan Feldman |
| 2022 | IROS | Newton-PnP: Real-time Visual Navigation for Autonomous Toy-Drones. | Ibrahim Jubran, Fares Fares, Yuval Alfassi, Firas Ayoub, Dan Feldman |
| 2022 | IROS | Obstacle Aware Sampling for Path Planning. | Murad Tukan, Alaa Maalouf, Dan Feldman, Roi Poranne |
| 2021 | ACML | Efficient Coreset Constructions via Sensitivity Sampling. | Vladimir Braverman, Dan Feldman, Harry Lang, Adiel Statman, Samson Zhou |
| 2021 | ICCV | Provably Approximated Point Cloud Registration. | Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman |
| 2021 | ICLR | Deep Learning meets Projective Clustering. | Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman |
| 2020 | ICLR | Provable Filter Pruning for Efficient Neural Networks. | Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus |
| 2020 | ICLR | Data-Independent Neural Pruning via Coresets. | Ben Mussay, Margarita Osadchy, Vladimir Braverman, Samson Zhou, Dan Feldman |
| 2020 | ICML | Sets Clustering. | Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman |
| 2020 | KDD | Tight Sensitivity Bounds For Smaller Coresets. | Alaa Maalouf, Adiel Statman, Dan Feldman |
| 2020 | TAMC | On Coresets for Support Vector Machines. | Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus |
| 2019 | ICLR | Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. | Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus |
| 2019 | IUI | An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. | Daniel Garijo, Deborah Khider, Varun Ratnakar, Yolanda Gil, Ewa Deelman, Rafael Ferreira da Silva, Craig A. Knoblock, Yao-Yi Chiang, Minh Pham, Jay Pujara, Binh Vu, Dan Feldman, Rajiv Mayani, Kelly M. Cobourn, Christopher J. Duffy, Armen R. Kemanian, Lele Shu, Vipin Kumar, Ankush Khandelwal, Kshitij Tayal, Scott D. Peckham, Maria Stoica, Anna Dabrowski, Daniel Hardesty-Lewis, Suzanne A. Pierce |
| 2019 | TAMC | Deterministic Coresets for Stochastic Matrices with Applications to Scalable Sparse PageRank. | Harry Lang, Cenk Baykal, Najib Abu Samra, Tony Tannous, Dan Feldman, Daniela Rus |
| 2018 | CCS | Secure Search on Encrypted Data via Multi-Ring Sketch. | Adi Akavia, Dan Feldman, Hayim Shaul |
| 2017 | ICML | Coresets for Vector Summarization with Applications to Network Graphs. | Dan Feldman, Sedat Ozer, Daniela Rus |
| 2016 | SDM | Untitled record | Artem Barger, Dan Feldman |
| 2015 | ICRA | Coresets for visual summarization with applications to loop closure. | Mikhail Volkov, Guy Rosman, Dan Feldman, John W. Fisher III, Daniela Rus |
| 2015 | KDD | More Constraints, Smaller Coresets: Constrained Matrix Approximation of Sparse Big Data. | Dan Feldman, Tamir Tassa |
| 2014 | ICRA | Visual precis generation using coresets. | Rohan Paul, Dan Feldman, Daniela Rus, Paul Newman |
| 2013 | ICRA | K-robots clustering of moving sensors using coresets. | Dan Feldman, Stephanie Gil, Ross A. Knepper, Brian J. Julian, Daniela Rus |
| 2013 | SODA | Turning big data into tiny data: Constant-size coresets for | Dan Feldman, Melanie Schmidt, Christian Sohler |
| 2013 | SENSYS | iDiary: from GPS signals to a text-searchable diary. | Dan Feldman, Andrew Sugaya, Cynthia R. Sung, Daniela Rus |
| 2012 | IROS | Communication coverage for independently moving robots. | Stephanie Gil, Dan Feldman, Daniela Rus |
| 2012 | IROS | Trajectory clustering for motion prediction. | Cynthia R. Sung, Dan Feldman, Daniela Rus |
| 2012 | SODA | Data reduction for weighted and outlier-resistant clustering. | Dan Feldman, Leonard J. Schulman |
| 2011 | STOC | A unified framework for approximating and clustering data. | Dan Feldman, Michael Langberg |
| 2010 | SODA | Coresets and Sketches for High Dimensional Subspace Approximation Problems. | Dan Feldman, Morteza Monemizadeh, Christian Sohler, David P. Woodruff |
| 2009 | STOC | Private coresets. | Dan Feldman, Amos Fiat, Haim Kaplan, Kobbi Nissim |
| 2006 | FOCS | Coresets forWeighted Facilities and Their Applications. | Dan Feldman, Amos Fiat, Micha Sharir |