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2020 – today
- 2024
[c7]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. IROS 2024: 10326-10333- [i10]Po-han Li, Öykü Selin Toprak, Aditya Narayanan, Ufuk Topcu, Sandeep Chinchali:
Online Foundation Model Selection in Robotics. CoRR abs/2402.08570 (2024) - [i9]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) - [i8]Mohammad Omama, Po-han Li, Sandeep P. Chinchali:
Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval. CoRR abs/2410.07022 (2024) - [i7]Po-han Li, Sandeep P. Chinchali, Ufuk Topcu:
CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features. CoRR abs/2410.07610 (2024) - [i6]Po-han Li, Yunhao Yang, Mohammad Omama, Sandeep Chinchali, Ufuk Topcu:
Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction. CoRR abs/2411.10513 (2024) - [i5]Cevahir Köprülü, Po-han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu:
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. CoRR abs/2412.01114 (2024) - 2023
- [c6]Po-han Li, Sandeep P. Chinchali, Ufuk Topcu:
Differentially Private Timeseries Forecasts for Networked Control. ACC 2023: 3595-3601 - [c5]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 - [c4]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 - [i4]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) - [i3]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) - 2022
- [c3]Po-han Li, Ufuk Topcu, Sandeep P. Chinchali:
Adversarial Examples for Model-Based Control: A Sensitivity Analysis. Allerton 2022: 1-7 - [c2]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 - [i2]Po-han Li, Ufuk Topcu, Sandeep P. Chinchali:
Adversarial Examples for Model-Based Control: A Sensitivity Analysis. CoRR abs/2207.06982 (2022) - [i1]Po-han Li, Sandeep P. Chinchali, Ufuk Topcu:
Differentially Private Timeseries Forecasts for Networked Control. CoRR abs/2210.00358 (2022) - 2021
- [c1]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
Coauthor Index
aka: Sandeep P. Chinchali
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