Sandeep P Chinchali
Sandeep P Chinchali
Incoming Assistant Professor, UT Austin ECE
Email confirmado em stanford.edu - Página inicial
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Cellular network traffic scheduling with deep reinforcement learning
S Chinchali, P Hu, T Chu, M Sharma, M Bansal, R Misra, M Pavone, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
962018
Numfabric: Fast and flexible bandwidth allocation in datacenters
K Nagaraj, D Bharadia, H Mao, S Chinchali, M Alizadeh, S Katti
Proceedings of the 2016 ACM SIGCOMM Conference, 188-201, 2016
752016
Scheduling packets over multiple interfaces while respecting user preferences
KK Yap, TY Huang, Y Yiakoumis, S Chinchali, N McKeown, S Katti
Proceedings of the ninth ACM conference on Emerging networking experiments …, 2013
412013
Network offloading policies for cloud robotics: a learning-based approach
S Chinchali, A Sharma, J Harrison, A Elhafsi, D Kang, E Pergament, ...
arXiv preprint arXiv:1902.05703, 2019
312019
Towards formal synthesis of reactive controllers for dexterous robotic manipulation
S Chinchali, SC Livingston, U Topcu, JW Burdick, RM Murray
2012 IEEE International Conference on Robotics and Automation, 5183-5189, 2012
302012
Neural networks meet physical networks: Distributed inference between edge devices and the cloud
SP Chinchali, E Cidon, E Pergament, T Chu, S Katti
Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 50-56, 2018
182018
Axel rover paddle wheel design, efficiency, and sinkage on deformable terrain
P Abad-Manterola, JW Burdick, IAD Nesnas, S Chinchali, C Fuller, X Zhou
2010 IEEE International Conference on Robotics and Automation, 2821-2827, 2010
142010
Erosion of conserved binding sites in personal genomes points to medical histories
H Guturu, S Chinchali, SL Clarke, G Bejerano
PLoS computational biology 12 (2), e1004711, 2016
102016
Multi-agent reinforcement learning for networked system control
T Chu, S Chinchali, S Katti
arXiv preprint arXiv:2004.01339, 2020
82020
Multi-objective optimal control for proactive decision making with temporal logic models
SP Chinchali, SC Livingston, M Chen, M Pavone
The International Journal of Robotics Research 38 (12-13), 1490-1512, 2019
72019
Simultaneous model identification and task satisfaction in the presence of temporal logic constraints
SP Chinchali, SC Livingston, M Pavone, JW Burdick
2016 IEEE International Conference on Robotics and Automation (ICRA), 3682-3689, 2016
42016
Deep Learning for Wireless Interference Segmentation and Prediction
S Chinchali, S Tandon
32012
Sampling Training Data for Continual Learning Between Robots and the Cloud
S Chinchali, E Pergament, M Nakanoya, E Cidon, E Zhang, D Bharadia, ...
arXiv preprint arXiv:2012.06739, 2020
2020
Task-relevant Representation Learning for Networked Robotic Perception
M Nakanoya, S Chinchali, A Anemogiannis, A Datta, S Katti, M Pavone
arXiv preprint arXiv:2011.03216, 2020
2020
System and method for widescale adaptive bitrate selection
T Chu, R Misra, S Chinchali, A Anemogiannis, R Tandra, K Nagaraj
US Patent App. 16/582,089, 2020
2020
Collaborative Perception and Learning Between Robots and the Cloud
SP Chinchali
Stanford University, 2020
2020
HarvestNet: Mining Valuable Training Data from High-Volume Robot Sensory Streams
S Chinchali, E Pergament, M Nakanoya, E Cidon, E Zhang, D Bharadia, ...
Cellular Network Traffic Scheduling using Deep Reinforcement Learning
S Chinchali, M Pavone, S Katti
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