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ORCIDSandeep Chinchali
Sandeep P. Chinchali
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2020 – today
- 2024
[j7]Christos K. Verginis
, Cevahir Köprülü, Sandeep Chinchali, Ufuk Topcu:
Joint learning of reward machines and policies in environments with partially known semantics. Artif. Intell. 333: 104146 (2024)- [j6]Sai Shankar Narasimhan, Sharachchandra Bhat, Sandeep P. Chinchali:
Safe Networked Robotics With Probabilistic Verification. IEEE Robotics Autom. Lett. 9(3): 2917-2924 (2024) - [j5]Manan Gupta, Sandeep Chinchali, Paul Parayil Varkey, Jeffrey G. Andrews:
Forecaster-Aided User Association and Load Balancing in Multi-Band Mobile Networks. IEEE Trans. Wirel. Commun. 23(5): 5157-5171 (2024) - [c38]Oguzhan Akcin, Robert P. Streit, Benjamin Oommen, Sriram Vishwanath, Sandeep Chinchali:
ControlPay: An Adaptive Payment Controller for Blockchain Economies. Blockchain 2024: 316-323 - [c37]Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu:
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning. ECAI 2024: 2653-2660 - [c36]Minkyu Choi, Harsh Goel, Mohammad Omama, Yunhao Yang, Sahil Shah, Sandeep Chinchali:
Towards Neuro-Symbolic Video Understanding. ECCV (78) 2024: 220-236 - [c35]Chelsea Collier, Tina Lassiter, Kenneth R. Fleischmann, Sherri R. Greenberg, Raul G. Longoria, Sandeep Chinchali:
AI as an Emancipatory Technology: Smart Hand Tools for Skilled Trade Workers. HICSS 2024: 6490-6499 - [c34]Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin, Sujay Sanghavi, Sandeep P. Chinchali:
Time Weaver: A Conditional Time Series Generation Model. ICML 2024 - [i38]Po-han Li, Öykü Selin Toprak, Aditya Narayanan, Ufuk Topcu, Sandeep Chinchali:
Online Foundation Model Selection in Robotics. CoRR abs/2402.08570 (2024) - [i37]Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin, Sujay Sanghavi, Sandeep Chinchali:
Time Weaver: A Conditional Time Series Generation Model. CoRR abs/2403.02682 (2024) - [i36]Minkyu Choi, Harsh Goel, Mohammad Omama, Yunhao Yang, Sahil Shah, Sandeep Chinchali:
Neuro-Symbolic Video Search. CoRR abs/2403.11021 (2024) - [i35]Oguzhan Baser, Kaan Kale, Sandeep P. Chinchali:
SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures. CoRR abs/2407.00913 (2024) - [i34]Mohamad Fares El Hajj Chehade, Young-ho Cho, Sandeep Chinchali, Hao Zhu:
Should we use model-free or model-based control? A case study of battery management systems. CoRR abs/2407.15313 (2024) - [i33]Siddhartha Kapuria, Jeff Bonyun, Yash Kulkarni, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi:
Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging. CoRR abs/2408.01554 (2024) - [i32]Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu:
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning. CoRR abs/2408.13376 (2024) - [i31]Aditya Narayanan, Pranav Kasibhatla, Minkyu Choi, Po-han Li, Ruihan Zhao, Sandeep Chinchali:
PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems. CoRR abs/2409.06078 (2024) - 2023
- [j4]Manabu Nakanoya, Sai Shankar Narasimhan, Sharachchandra Bhat, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Sandeep Chinchali, Marco Pavone:
Co-design of communication and machine inference for cloud robotics. Auton. Robots 47(5): 579-594 (2023) - [c33]Yue Yu, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu:
Poisoning Attacks Against Data-Driven Predictive Control. ACC 2023: 545-550 - [c32]Po-han Li, Sandeep P. Chinchali, Ufuk Topcu:
Differentially Private Timeseries Forecasts for Networked Control. ACC 2023: 3595-3601 - [c31]Carlos Gonzalez, SeungHyeon Bang, Po-han Li, Sandeep Chinchali, Luis Sentis:
Learning Adaptive Horizon Maps Based on Error Forecast for Model Predictive Control. CDC 2023: 8501-8508 - [c30]Oguzhan Akcin, Orhan Unuvar, Onat Ure, Sandeep P. Chinchali:
Fleet Active Learning: A Submodular Maximization Approach. CoRL 2023: 1378-1399 - [c29]Manan Gupta, Sandeep Chinchali, Paul Parayil Varkey, Jeffrey G. Andrews:
Learning-Based Model Predictive Control for User Association in Multi-Band Mobile Networks. ICC 2023: 1862-1867 - [c28]Shubhankar Agarwal, David Fridovich-Keil, Sandeep P. Chinchali:
Robust Forecasting for Robotic Control: A Game-Theoretic Approach. ICRA 2023: 5566-5573 - [c27]Jiangnan Cheng, Sandeep Chinchali, Ao Tang:
Task-aware Network Coding over Butterfly Network. ISIT 2023: 1496-1501 - [c26]Chelsea Collier, Kenneth R. Fleischmann, Tina Lassiter, Sherri R. Greenberg, Raul G. Longoria, Sandeep Chinchali:
Co-Designing Socio-Technical Interventions with Skilled Trade Workers. ISTAS 2023: 1-5 - [c25]Po-han Li, Sravan Kumar Ankireddy, Ruihan Philip Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim:
Task-aware Distributed Source Coding under Dynamic Bandwidth. NeurIPS 2023 - [i30]Manan Gupta, Sandeep Chinchali, Paul Parayil Varkey, Jeffrey G. Andrews:
Forecaster-aided User Association and Load Balancing in Multi-band Mobile Networks. CoRR abs/2301.09294 (2023) - [i29]Sai Shankar Narasimhan, Sharachchandra Bhat, Sandeep P. Chinchali:
Safe Networked Robotics via Formal Verification. CoRR abs/2302.09182 (2023) - [i28]Ruihan Zhao, Ufuk Topcu, Sandeep Chinchali, Mariano Phielipp:
Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations. CoRR abs/2302.14242 (2023) - [i27]Oguzhan Akcin, Po-han Li, Shubhankar Agarwal, Sandeep Chinchali:
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection. CoRR abs/2303.03602 (2023) - [i26]Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim:
Task-aware Distributed Source Coding under Dynamic Bandwidth. CoRR abs/2305.15523 (2023) - [i25]Yunhao Yang, Jean-Raphaël Gaglione, Sandeep Chinchali, Ufuk Topcu:
Specification-Driven Video Search via Foundation Models and Formal Verification. CoRR abs/2309.10171 (2023) - [i24]Mohammad Omama, Pranav Inani, Pranjal Paul, Sarat Chandra Yellapragada, Krishna Murthy Jatavallabhula, Sandeep Chinchali, K. Madhava Krishna:
ALT-Pilot: Autonomous navigation with Language augmented Topometric maps. CoRR abs/2310.02324 (2023) - [i23]Jose Bendana, Sundar Sripada V. S., Carlos D. Salazar, Sandeep Chinchali, Raul G. Longoria:
Using human and robot synthetic data for training smart hand tools. CoRR abs/2312.01550 (2023) - 2022
- [c24]Po-han Li, Ufuk Topcu, Sandeep P. Chinchali:
Adversarial Examples for Model-Based Control: A Sensitivity Analysis. Allerton 2022: 1-7 - [c23]Mohd. Omama, Sundar Sripada V. S., Sandeep Chinchali, K. Madhava Krishna:
LADFN: Learning Actions for Drift-Free Navigation in Highly Dynamic Scenes. ACC 2022: 1200-1207 - [c22]Shubhankar Agarwal, Sandeep P. Chinchali:
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control. CoRL 2022: 800-811 - [c21]Oguzhan Akcin, Po-han Li, Shubhankar Agarwal, Sandeep P. Chinchali:
Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach. CoRL 2022: 978-988 - [c20]Jiangnan Cheng, Ao Tang, Sandeep Chinchali:
Task-aware Privacy Preservation for Multi-dimensional Data. ICML 2022: 3835-3851 - [c19]Mohd. Omama, Sundar Sripada V. S., Sandeep Chinchali, Arun Kumar Singh, K. Madhava Krishna:
Drift Reduced Navigation with Deep Explainable Features. IROS 2022: 6316-6323 - [c18]Hang Qiu, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti:
ML-EXray: Visibility into ML Deployment on the Edge. MLSys 2022 - [c17]Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan:
Class-Aware Adversarial Transformers for Medical Image Segmentation. NeurIPS 2022 - [i22]Chenyu You, Ruihan Zhao, Fenglin Liu, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan:
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation. CoRR abs/2201.10737 (2022) - [i21]Jiangnan Cheng, Sandeep Chinchali, Ao Tang:
Task-Aware Network Coding Over Butterfly Network. CoRR abs/2201.11917 (2022) - [i20]Mohd. Omama, Sundar Sripada Venugopalaswamy Sriraman, Sandeep Chinchali, Arun Kumar Singh, K. Madhava Krishna:
Drift Reduced Navigation with Deep Explainable Features. CoRR abs/2203.06897 (2022) - [i19]Shubhankar Agarwal, Sandeep P. Chinchali:
Task-Driven Data Augmentation for Vision-Based Robotic Control. CoRR abs/2204.06173 (2022) - [i18]Christos K. Verginis, Cevahir Köprülü, Sandeep Chinchali, Ufuk Topcu:
Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics. CoRR abs/2204.11833 (2022) - [i17]Bineet Ghosh, Masaad Khan, Adithya Ashok, Sandeep Chinchali, Parasara Sridhar Duggirala:
Dynamic Selection of Perception Models for Robotic Control. CoRR abs/2207.06390 (2022) - [i16]Po-han Li, Ufuk Topcu, Sandeep P. Chinchali:
Adversarial Examples for Model-Based Control: A Sensitivity Analysis. CoRR abs/2207.06982 (2022) - [i15]Yue Yu, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu:
Poisoning Attacks Against Data-Driven Predictive Control. CoRR abs/2209.09108 (2022) - [i14]Shubhankar Agarwal, David Fridovich-Keil, Sandeep P. Chinchali:
Robust Forecasting for Robotic Control: A Game-Theoretic Approach. CoRR abs/2209.10802 (2022) - [i13]Po-han Li, Sandeep P. Chinchali, Ufuk Topcu:
Differentially Private Timeseries Forecasts for Networked Control. CoRR abs/2210.00358 (2022) - [i12]Oguzhan Akcin, Robert P. Streit, Benjamin Oommen, Sriram Vishwanath, Sandeep Chinchali:
A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics. CoRR abs/2210.12881 (2022) - [i11]Oguzhan Akcin, Robert P. Streit, Benjamin Oommen, Sriram Vishwanath, Sandeep Chinchali:
A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics. IACR Cryptol. ePrint Arch. 2022: 1492 (2022) - 2021
- [j3]Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone:
Network offloading policies for cloud robotics: a learning-based approach. Auton. Robots 45(7): 997-1012 (2021) - [c16]Yuchong Geng, Dongyue Zhang, Po-han Li, Oguzhan Akcin, Ao Tang, Sandeep P. Chinchali:
Decentralized Sharing and Valuation of Fleet Robotic Data. CoRL 2021: 1795-1800 - [c15]Bineet Ghosh, Sandeep Chinchali, Parasara Sridhar Duggirala:
Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency. IROS 2021: 5364-5371 - [c14]Joseph Lubars, Harsh Gupta, Sandeep Chinchali, Liyun Li, Adnan Raja, R. Srikant, Xinzhou Wu:
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging. ITSC 2021: 942-947 - [c13]Jiangnan Cheng, Marco Pavone, Sachin Katti, Sandeep Chinchali, Ao Tang:
Data Sharing and Compression for Cooperative Networked Control. NeurIPS 2021: 5947-5958 - [c12]Manabu Nakanoya, Sandeep Chinchali, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Marco Pavone:
Co-Design of Communication and Machine Inference for Cloud Robotics. Robotics: Science and Systems 2021 - [i10]Bineet Ghosh, Sandeep Chinchali, Parasara Sridhar Duggirala:
Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency. CoRR abs/2108.01235 (2021) - [i9]Jiangnan Cheng, Marco Pavone, Sachin Katti, Sandeep Chinchali, Ao Tang:
Data Sharing and Compression for Cooperative Networked Control. CoRR abs/2109.14675 (2021) - [i8]Jiangnan Cheng, Ao Tang, Sandeep Chinchali:
Task-aware Privacy Preservation for Multi-dimensional Data. CoRR abs/2110.02329 (2021) - [i7]Mohd. Omama, Sundar Sripada V. S., Sandeep Chinchali, K. Madhava Krishna:
Learning Actions for Drift-Free Navigation in Highly Dynamic Scenes. CoRR abs/2110.14928 (2021) - [i6]Hang Qiu, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti:
ML-EXray: Visibility into ML Deployment on the Edge. CoRR abs/2111.04779 (2021) - [i5]Manabu Nakanoya, Junha Im, Hang Qiu, Sachin Katti, Marco Pavone, Sandeep Chinchali:
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving. CoRR abs/2112.00956 (2021) - 2020
- [b1]Sandeep Chinchali:
Collaborative perception and learning between robots and the cloud. Stanford University, USA, 2020 - [c11]Tianshu Chu, Sandeep Chinchali, Sachin Katti:
Multi-agent Reinforcement Learning for Networked System Control. ICLR 2020 - [c10]Sandeep Chinchali, Evgenya Pergament, Manabu Nakanoya, Eyal Cidon, Edward Zhang, Dinesh Bharadia, Marco Pavone, Sachin Katti:
Sampling Training Data for Continual Learning Between Robots and the Cloud. ISER 2020: 296-308 - [i4]Tianshu Chu, Sandeep Chinchali, Sachin Katti:
Multi-agent Reinforcement Learning for Networked System Control. CoRR abs/2004.01339 (2020) - [i3]Manabu Nakanoya, Sandeep Chinchali, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Marco Pavone:
Task-relevant Representation Learning for Networked Robotic Perception. CoRR abs/2011.03216 (2020) - [i2]Sandeep Chinchali, Evgenya Pergament, Manabu Nakanoya, Eyal Cidon, Edward Zhang, Dinesh Bharadia, Marco Pavone, Sachin Katti:
Sampling Training Data for Continual Learning Between Robots and the Cloud. CoRR abs/2012.06739 (2020)
2010 – 2019
- 2019
- [j2]Sandeep P. Chinchali, Scott C. Livingston, Mo Chen, Marco Pavone:
Multi-objective optimal control for proactive decision making with temporal logic models. Int. J. Robotics Res. 38(12-13) (2019) - [c9]Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone:
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach. Robotics: Science and Systems 2019 - [i1]Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone:
Network Offloading Policies for Cloud Robotics: a Learning-based Approach. CoRR abs/1902.05703 (2019) - 2018
- [c8]Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti:
Cellular Network Traffic Scheduling With Deep Reinforcement Learning. AAAI 2018: 766-774 - [c7]Sandeep P. Chinchali, Eyal Cidon, Evgenya Pergament, Tianshu Chu, Sachin Katti:
Neural Networks Meet Physical Networks: Distributed Inference Between Edge Devices and the Cloud. HotNets 2018: 50-56 - 2017
- [c6]Sandeep P. Chinchali, Scott C. Livingston, Marco Pavone:
Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Models. ISRR 2017: 127-144 - 2016
- [j1]Harendra Guturu, Sandeep Chinchali, Shoa L. Clarke, Gill Bejerano:
Erosion of Conserved Binding Sites in Personal Genomes Points to Medical Histories. PLoS Comput. Biol. 12(2) (2016) - [c5]Sandeep P. Chinchali, Scott C. Livingston, Marco Pavone, Joel W. Burdick:
Simultaneous model identification and task satisfaction in the presence of temporal logic constraints. ICRA 2016: 3682-3689 - [c4]Kanthi Nagaraj, Dinesh Bharadia, Hongzi Mao, Sandeep Chinchali, Mohammad Alizadeh, Sachin Katti:
NUMFabric: Fast and Flexible Bandwidth Allocation in Datacenters. SIGCOMM 2016: 188-201 - 2013
- [c3]Kok-Kiong Yap, Te-Yuan Huang, Yiannis Yiakoumis, Sandeep Chinchali, Nick McKeown, Sachin Katti:
Scheduling packets over multiple interfaces while respecting user preferences. CoNEXT 2013: 109-120 - 2012
- [c2]Sandeep Chinchali, Scott C. Livingston, Ufuk Topcu, Joel W. Burdick, Richard M. Murray:
Towards formal synthesis of reactive controllers for dexterous robotic manipulation. ICRA 2012: 5183-5189 - 2010
- [c1]Pablo Abad-Manterola, Joel W. Burdick, Issa A. D. Nesnas, Sandeep Chinchali, Christine Fuller, Xuecheng Zhou:
Axel rover paddle wheel design, efficiency, and sinkage on deformable terrain. ICRA 2010: 2821-2827
Coauthor Index
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last updated on 2024-10-31 20:18 CET by the dblp team
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