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2020 – today
- 2023
[c18]Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee:
Robust Active Distillation. ICLR 2023- [c17]Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang:
Alternating Updates for Efficient Transformers. NeurIPS 2023 - [c16]Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee:
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples. NeurIPS 2023 - [i16]Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang:
Alternating Updates for Efficient Transformers. CoRR abs/2301.13310 (2023) - [i15]Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang:
The Power of External Memory in Increasing Predictive Model Capacity. CoRR abs/2302.00003 (2023) - [i14]Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee:
SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation. CoRR abs/2302.03806 (2023) - 2022
- [j4]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) - [c15]Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang:
A Theoretical View on Sparsely Activated Networks. NeurIPS 2022 - [c14]Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee:
Weighted Distillation with Unlabeled Examples. NeurIPS 2022 - [i13]Cenk Baykal, Vamsi K. Potluru, Sameena Shah, Manuela M. Veloso:
Bandit Sampling for Multiplex Networks. CoRR abs/2202.03621 (2022) - [i12]Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang:
A Theoretical View on Sparsely Activated Networks. CoRR abs/2208.04461 (2022) - [i11]Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee:
Robust Active Distillation. CoRR abs/2210.01213 (2022) - [i10]Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee:
Weighted Distillation with Unlabeled Examples. CoRR abs/2210.06711 (2022) - 2021
- [b1]Cenk Baykal:
Sampling-based Algorithms for Fast and Deployable AI. Massachusetts Institute of Technology, USA, 2021 - [j3]Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus:
On coresets for support vector machines. Theor. Comput. Sci. 890: 171-191 (2021) - [c13]Lucas Liebenwein, Cenk Baykal, Brandon Carter, David Gifford, Daniela Rus:
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy. MLSys 2021 - [i9]Lucas Liebenwein, Cenk Baykal, Brandon Carter, David Gifford, Daniela Rus:
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy. CoRR abs/2103.03014 (2021) - [i8]Cenk Baykal, Lucas Liebenwein, Dan Feldman, Daniela Rus:
Low-Regret Active learning. CoRR abs/2104.02822 (2021) - [i7]Junteng Jia, Cenk Baykal, Vamsi K. Potluru, Austin R. Benson:
Graph Belief Propagation Networks. CoRR abs/2106.03033 (2021) - 2020
- [c12]Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus:
Provable Filter Pruning for Efficient Neural Networks. ICLR 2020 - [c11]Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus:
On Coresets for Support Vector Machines. TAMC 2020: 287-299 - [i6]Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus:
On Coresets for Support Vector Machines. CoRR abs/2002.06469 (2020)
2010 – 2019
- 2019
- [j2]Cenk Baykal, Chris Bowen, Ron Alterovitz:
Asymptotically optimal kinematic design of robots using motion planning. Auton. Robots 43(2): 345-357 (2019) - [j1]Stephanie Gil, Cenk Baykal, Daniela Rus:
Resilient Multi-Agent Consensus Using Wi-Fi Signals. IEEE Control. Syst. Lett. 3(1): 126-131 (2019) - [c10]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 - [c9]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 - [i5]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) - [i4]Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus:
Provable Filter Pruning for Efficient Neural Networks. CoRR abs/1911.07412 (2019) - 2018
- [c8]Alan Kuntz, Chris Bowen, Cenk Baykal, Arthur W. Mahoney, Patrick L. Anderson, Fabien Maldonado, Robert J. Webster III, Ron Alterovitz:
Kinematic Design Optimization of a Parallel Surgical Robot to Maximize Anatomical Visibility via Motion Planning. ICRA 2018: 926-933 - [c7]Lucas Liebenwein, Cenk Baykal, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees. Robotics: Science and Systems 2018 - [i3]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
- [c6]Cenk Baykal, Guy Rosman, Sebastian Claici, Daniela Rus:
Persistent surveillance of events with unknown, time-varying statistics. ICRA 2017: 2682-2689 - [c5]Cenk Baykal, Ron Alterovitz:
Asymptotically Optimal Design of Piecewise Cylindrical Robots using Motion Planning. Robotics: Science and Systems 2017 - [i2]Cenk Baykal, Wilko Schwarting, Alex Wallar:
Detection of AQM on Paths using Machine Learning Methods. CoRR abs/1707.02386 (2017) - [i1]Cenk Baykal, Lucas Liebenwein, Wilko Schwarting:
Training Support Vector Machines using Coresets. CoRR abs/1708.03835 (2017) - 2016
- [c4]Cenk Baykal, Guy Rosman, Kyle Kotowick, Mark Donahue, Daniela Rus:
Persistent Surveillance of Events with Unknown Rate Statistics. WAFR 2016: 736-751 - 2015
- [c3]Cenk Baykal, Luis G. Torres, Ron Alterovitz:
Optimizing design parameters for sets of concentric tube robots using sampling-based motion planning. IROS 2015: 4381-4387 - 2014
- [c2]David Wilkie, Cenk Baykal, Ming C. Lin:
Participatory route planning. SIGSPATIAL/GIS 2014: 213-222 - [c1]Luis G. Torres, Cenk Baykal, Ron Alterovitz:
Interactive-rate motion planning for concentric tube robots. ICRA 2014: 1915-1921
Coauthor Index
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