Ramtin Pedarsani
机构: Associate Professor, Electrical and Computer Engineering, UC Santa Barbara
主页: ucsb.edu
每年引用次数
引用次数
引用: 5,466
H-指数: 34
I10-指数 : 65
出版物: 160
Routing for Traffic Networks with Mixed Autonomy
Daniel Lazar , Samuel Coogan , Ramtin Pedarsani
IEEE Transactions on Automatic Control 66 2664 -2676
5
2020
Sub-linear Time Stochastic Threshold Group Testing via Sparse-Graph Codes
Amirhossein Reisizadeh , Pedro Abdalla , Ramtin Pedarsani
information theory workshop 1 -5
6
2018
PhaseCode: Fast and Efficient Compressive Phase Retrieval Based on Sparse-Graph Codes
Ramtin Pedarsani , Dong Yin , Kangwook Lee , Kannan Ramchandran
IEEE Transactions on Information Theory 63 ( 6) 3663 -3691
28
2017
The Green Choice: Learning and Influencing Human Decisions on Shared Roads
Erdem Biyik , Daniel A. Lazar , Dorsa Sadigh , Ramtin Pedarsani
arXiv: Optimization and Control
21
2019
Queue-length estimation using real-time traffic data
Zahra Amini , Ramtin Pedarsani , Alexander Skabardonis , Pravin Varaiya
international conference on intelligent transportation systems 1476 -1481
8
2016
Joint perimeter and signal control of urban traffic via network utility maximization
Negar Mehr , Jennie Lioris , Roberto Horowitz , Ramtin Pedarsani
international conference on intelligent transportation systems 1 -6
6
2017
Signal Control for Urban Traffic Networks with Unknown System Parameters
Negar Mehr , Jennie Lioris , Roberto Horowitz , Ramtin Pedarsani
international conference on intelligent transportation systems 2171 -2176
2018
Multilevel group testing via sparse-graph codes
Pedro Abdalla , Amirhossein Reisizadeh , Ramtin Pedarsani
asilomar conference on signals, systems and computers 895 -899
4
2017
Straggler-resilient personalized federated learning
Isidoros Tziotis , Zebang Shen , Ramtin Pedarsani , Hamed Hassani
arXiv preprint arXiv:2206.02078
2
2022
Asymptotic Behavior of Adversarial Training in Binary Linear Classification
Hossein Taheri , Ramtin Pedarsani , Christos Thrampoulidis
Smpte Journal 127 -132
2022
Imitation learning by estimating expertise of demonstrators
Mark Beliaev , Andy Shih , Stefano Ermon , Dorsa Sadigh
Smpte Journal 1732 -1748
4
2022
Efficient and robust classification for sparse attacks
Mark Beliaev , Payam Delgosha , Hamed Hassani , Ramtin Pedarsani
Smpte Journal 3150 -3155
2022
Towards learning generalizable driving policies from restricted latent representations
Behrad Toghi , Rodolfo Valiente , Ramtin Pedarsani , Yaser P Fallah
arXiv preprint arXiv:2111.03688
5
2021
Cooperative autonomous vehicles that sympathize with human drivers
Behrad Toghi , Rodolfo Valiente , Dorsa Sadigh , Ramtin Pedarsani
Smpte Journal 4517 -4524
18
2021
Altruistic maneuver planning for cooperative autonomous vehicles using multi-agent advantage actor-critic
Behrad Toghi , Rodolfo Valiente , Dorsa Sadigh , Ramtin Pedarsani
arXiv preprint arXiv:2107.05664
11
2021
Learning mixtures of sparse linear regressions using sparse graph codes
Dong Yin , Ramtin Pedarsani , Yudong Chen , Kannan Ramchandran
IEEE Transactions on Information Theory 65 ( 3) 1430 -1451
33
2018
Ubershuffle: Communication-efficient data shuffling for sgd via coding theory
Jichan Chung , Kangwook Lee , Ramtin Pedarsani , Dimitris Papailiopoulos
Advances in Neural Information Processing Systems (NIPS)
31
2017
The fair value of data under heterogeneous privacy constraints
Justin Kang , Ramtin Pedarsani , Kannan Ramchandran
arXiv preprint arXiv:2301.13336
4
2023
Learning to Understand: Identifying Interactions via the Mobius Transform
Justin S Kang , Yigit E Erginbas , Landon Butler , Ramtin Pedarsani
arXiv preprint arXiv:2402.02631
2024
Amirhossein Reisizadeh Kannan Ramchandran Hamed Hassani Kangwook Lee Aryan Mokhtari Daniel Lazar Salman Avestimehr Dorsa Sadigh Dimitris Papailiopoulos Upamanyu Madhow Samuel Coogan Jean Walrand Mohammad Ali Maddah-Ali Yuan Zhong Negar Mehr Emre Telatar Olivier Leveque Sheng YANG Roberto HOROWITZ Yudong Chen