Publications · Swarm Lab

For metrics and citations, see Sandeep's Google Scholar profile.

2026

TensorCommitments: A Lightweight Verifiable Inference for Language Models

Oguzhan Baser, Elahe Sadeghi, Eric Wang, Nico Vergauwen, Sam Kazemian, Hong Kang, Sandeep P. Chinchali, Sriram Vishwanath

NeurIPS 2026

PDF arXiv Code Project

BibTeX

@inproceedings{baser2026tensorcommitments,
  title = {{TensorCommitments}: A Lightweight Verifiable Inference for Language Models},
  author = {Baser, Oguzhan and Sadeghi, Elahe and Wang, Eric and Vergauwen, Nico and Kazemian, Sam and Kang, Hong and Chinchali, Sandeep P. and Vishwanath, Sriram},
  booktitle = {Proceedings of the 40th Conference on Neural Information Processing Systems (NeurIPS 2026)},
  year = {2026},
  url = {https://arxiv.org/abs/2602.12630},
  arxiv = {https://arxiv.org/abs/2602.12630},
  pdf = {https://arxiv.org/pdf/2602.12630}
}

AttentionViG: Cross-Attention-Based Dynamic Neighbor Aggregation in Vision GNNs

Hakan Emre Gedik, Andrew Martin, Mustafa Munir, Oguzhan Baser, Radu Marculescu, Sandeep P. Chinchali, Alan C. Bovik

LoG 2026

PDF arXiv Project

BibTeX

@inproceedings{gedik2026attentionvig,
  title = {{AttentionViG}: Cross-Attention-Based Dynamic Neighbor Aggregation in Vision {GNNs}},
  author = {Gedik, Hakan Emre and Martin, Andrew and Munir, Mustafa and Baser, Oguzhan and Marculescu, Radu and Chinchali, Sandeep P. and Bovik, Alan C.},
  booktitle = {Proceedings of the Fifth Learning on Graphs Conference (LoG 2026)},
  year = {2026},
  url = {https://arxiv.org/abs/2509.25570},
  arxiv = {https://arxiv.org/abs/2509.25570},
  pdf = {https://arxiv.org/pdf/2509.25570}
}

RT-NeuS: Towards Real-Time Neuro-Symbolic Video Understanding via Adaptive Temporal Verification

Shawn Liang, Sahil Shah, Chengwei Zhou, SP Sharan, Harsh Goel, Arnab Sanyal, Sandeep Chinchali, Gourav Datta

NeuS 2026

PDF arXiv

BibTeX

@inproceedings{liang2026rtneus,
  title = {{RT-NeuS}: Towards Real-Time Neuro-Symbolic Video Understanding via Adaptive Temporal Verification},
  author = {Liang, Shawn and Shah, Sahil and Zhou, Chengwei and Sharan, SP and Goel, Harsh and Sanyal, Arnab and Chinchali, Sandeep and Datta, Gourav},
  booktitle = {International Conference on Neuro-symbolic Systems},
  year = {2026},
  url = {https://arxiv.org/abs/2602.23553},
  arxiv = {https://arxiv.org/abs/2602.23553}
}

EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices

Arnab Sanyal, Gourav Datta, Prithwish Mukherjee, Sandeep P. Chinchali, Michael Orshansky

ICASSP 2026

PDF arXiv Page Code Project

BibTeX

@inproceedings{sanyal2026entrollm,
  title = {{EntroLLM}: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices},
  author = {Sanyal, Arnab and Datta, Gourav and Mukherjee, Prithwish and Chinchali, Sandeep P. and Orshansky, Michael},
  booktitle = {ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year = {2026},
  pages = {19742--19746},
  doi = {10.1109/ICASSP55912.2026.11464777},
  url = {https://doi.org/10.1109/ICASSP55912.2026.11464777},
  arxiv = {https://arxiv.org/abs/2505.02380}
}

UNCAP: Uncertainty-Guided Neurosymbolic Planning Using Natural Language Communication for Cooperative Autonomous Vehicles

Neel P. Bhatt, Po-han Li, Kushagra Gupta, Rohan Siva, Daniel Milan, Alexander Todd Hogue, Sandeep P. Chinchali, David Fridovich-Keil, Zhangyang Wang, Ufuk Topcu

AAMAS 2026 Best Paper Nominee

PDF arXiv OpenReview Project

BibTeX

@inproceedings{bhatt2025uncap,
  title = {{UNCAP}: Uncertainty-Guided Neurosymbolic Planning Using Natural Language Communication for Cooperative Autonomous Vehicles},
  author = {Bhatt, Neel P. and Li, Po-han and Gupta, Kushagra and Siva, Rohan and Milan, Daniel and Hogue, Alexander Todd and Chinchali, Sandeep P. and Fridovich-Keil, David and Wang, Zhangyang and Topcu, Ufuk},
  booktitle = {The 25th International Conference on Autonomous Agents and Multi-Agent Systems},
  year = {2026},
  url = {https://openreview.net/forum?id=aYlKa5ppLh},
  arxiv = {https://arxiv.org/abs/2510.12992}
}

NeuS-QA: Grounding Long-Form Video Understanding in Temporal Logic and Neuro-Symbolic Reasoning

Sahil Shah, SP Sharan, Harsh Goel, Minkyu Choi, Mustafa Munir, Manvik Pasula, Radu Marculescu, Sandeep Chinchali

AAAI 2026

PDF arXiv Project

BibTeX

@inproceedings{shah2025neus,
  title = {NeuS-QA: Grounding Long-Form Video Understanding in Temporal Logic and Neuro-Symbolic Reasoning},
  author = {Shah, Sahil and Sharan, SP and Goel, Harsh and Choi, Minkyu and Munir, Mustafa and Pasula, Manvik and Marculescu, Radu and Chinchali, Sandeep},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  year = {2026},
  url = {https://arxiv.org/abs/2509.18041},
  arxiv = {https://arxiv.org/abs/2509.18041}
}

2025

VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR

Shenghui Chen, Po-han Li, Sandeep Chinchali, Ufuk Topcu

NeurIPS 2025

PDF arXiv OpenReview

BibTeX

@inproceedings{chen2025vibevideototextinformationbottleneck,
  title = {VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for {TL};{DR}},
  author = {Chen, Shenghui and Li, Po-han and Chinchali, Sandeep and Topcu, Ufuk},
  booktitle = {Annual Conference on Neural Information Processing Systems},
  year = {2025},
  url = {https://openreview.net/forum?id=C35FCYZBXp},
  arxiv = {https://arxiv.org/abs/2505.17423}
}

Constrained Posterior Sampling: Time Series Generation with Hard Constraints

Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout, Sanjay Shakkottai, Sandeep P. Chinchali

NeurIPS 2025

PDF arXiv

BibTeX

@inproceedings{narasimhan2024cps,
  title = {Constrained Posterior Sampling: Time Series Generation with Hard Constraints},
  author = {Narasimhan, Sai Shankar and Agarwal, Shubhankar and Rout, Litu and Shakkottai, Sanjay and Chinchali, Sandeep P.},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2025},
  url = {https://arxiv.org/abs/2410.12652},
  arxiv = {https://arxiv.org/abs/2410.12652}
}

A Challenge to Build Neuro-Symbolic Video Agents

Sahil Shah, Harsh Goel, Sai Shankar Narasimhan, Minkyu Choi, SP Sharan, Oguzhan Akcin, Sandeep Chinchali

NeuS 2025

PDF arXiv

BibTeX

@inproceedings{shah2025challenge,
  title = {A Challenge to Build Neuro-Symbolic Video Agents},
  author = {Shah, Sahil and Goel, Harsh and Narasimhan, Sai Shankar and Choi, Minkyu and Sharan, SP and Akcin, Oguzhan and Chinchali, Sandeep},
  booktitle = {International Conference on Neuro-symbolic Systems},
  year = {2025},
  url = {https://arxiv.org/abs/2505.13851},
  arxiv = {https://arxiv.org/abs/2505.13851}
}

Neuro-symbolic evaluation of text-to-video models using formal verification

SP Sharan, Minkyu Choi, Sahil Shah, Harsh Goel, Mohammad Omama, Sandeep Chinchali

CVPR 2025

PDF arXiv

BibTeX

@inproceedings{sharan2025neuro,
  title = {Neuro-symbolic evaluation of text-to-video models using formal verification},
  author = {Sharan, SP and Choi, Minkyu and Shah, Sahil and Goel, Harsh and Omama, Mohammad and Chinchali, Sandeep},
  booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference},
  year = {2025},
  url = {https://arxiv.org/abs/2411.16718},
  arxiv = {https://arxiv.org/abs/2411.16718}
}

FairSynergy: Fair Resource Allocation for Fleet Intelligence

Oguzhan Baser, Kaan Kale, Po-han Li, Sandeep Chinchali

GLOBECOM 2025

PDF arXiv Code

BibTeX

@inproceedings{baser2025fairsynergy,
  title = {FairSynergy: Fair Resource Allocation for Fleet Intelligence},
  author = {Baser, Oguzhan and Kale, Kaan and Li, Po-han and Chinchali, Sandeep},
  booktitle = {IEEE Global Communications Conference (GLOBECOM)},
  year = {2025},
  url = {https://arxiv.org/abs/2509.03353},
  arxiv = {https://arxiv.org/abs/2509.03353}
}

PhonemeFake: Redefining Deepfake Realism with Language-Driven Segmental Manipulation and Adaptive Bilevel Detection

Oguzhan Baser, Ahmet Ege Tanriverdi, Sriram Vishwanath, Sandeep Chinchali

Interspeech 2025

PDF arXiv Code

BibTeX

@inproceedings{baser2025phonemefake,
  title = {PhonemeFake: Redefining Deepfake Realism with Language-Driven Segmental Manipulation and Adaptive Bilevel Detection},
  author = {Baser, Oguzhan and Tanriverdi, Ahmet Ege and Vishwanath, Sriram and Chinchali, Sandeep},
  booktitle = {Proceedings of Interspeech},
  year = {2025},
  url = {https://arxiv.org/abs/2506.22783},
  arxiv = {https://arxiv.org/abs/2506.22783}
}

WavShape: Information-Theoretic Speech Representation Learning for Fair and Privacy-Aware Audio Processing

Oguzhan Baser, Ahmet Ege Tanriverdi, Kaan Kale, Sandeep Chinchali, Sriram Vishwanath

Interspeech 2025

PDF arXiv Code

BibTeX

@inproceedings{baser2025wavshape,
  title = {WavShape: Information-Theoretic Speech Representation Learning for Fair and Privacy-Aware Audio Processing},
  author = {Baser, Oguzhan and Tanriverdi, Ahmet Ege and Kale, Kaan and Chinchali, Sandeep and Vishwanath, Sriram},
  booktitle = {Proceedings of Interspeech},
  year = {2025},
  url = {https://arxiv.org/abs/2506.22789},
  arxiv = {https://arxiv.org/abs/2506.22789}
}

Distributed Upload and Active Labeling for Resource-Constrained Fleet Learning

Oguzhan Akcin, Harsh Goel, Ruihan Zhao, Sandeep P. Chinchali

CoRL 2025

OpenReview

BibTeX

@inproceedings{akcin2025dual,
  title = {Distributed Upload and Active Labeling for Resource-Constrained Fleet Learning},
  author = {Akcin, Oguzhan and Goel, Harsh and Zhao, Ruihan and Chinchali, Sandeep P.},
  booktitle = {9th Annual Conference on Robot Learning},
  year = {2025},
  url = {https://openreview.net/forum?id=M1e2PEMLp2}
}

Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval

Mohammad Omama, Po-han Li, Sandeep Chinchali

ICLR 2025

PDF arXiv

BibTeX

@inproceedings{Omama2024exploiting,
  title = {Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval},
  author = {Omama, Mohammad and Li, Po-han and Chinchali, Sandeep},
  booktitle = {The Thirteenth International Conference on Learning Representations},
  year = {2025},
  url = {https://arxiv.org/abs/2410.07022},
  arxiv = {https://arxiv.org/abs/2410.07022}
}

CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features

Po-han Li, Sandeep Chinchali, Ufuk Topcu

ICLR 2025

PDF arXiv

BibTeX

@inproceedings{Li2024csa,
  title = {{CSA}: Data-efficient Mapping of Unimodal Features to Multimodal Features},
  author = {Li, Po-han and Chinchali, Sandeep and Topcu, Ufuk},
  booktitle = {The Thirteenth International Conference on Learning Representations},
  year = {2025},
  url = {https://arxiv.org/abs/2410.07610},
  arxiv = {https://arxiv.org/abs/2410.07610}
}

2024

ControlPay: An Adaptive Payment Controller for Blockchain Economies

Oguzhan Akcin, Robert P. Streit, Benjamin Oommen, Sriram Vishwanath, Sandeep Chinchali

IEEE Blockchain 2024

PDF arXiv

BibTeX

@inproceedings{akcin2024controlpay,
  title = {ControlPay: An Adaptive Payment Controller for Blockchain Economies},
  author = {Akcin, Oguzhan and Streit, Robert P. and Oommen, Benjamin and Vishwanath, Sriram and Chinchali, Sandeep},
  booktitle = {IEEE International Conference on Blockchain (Blockchain)},
  year = {2024},
  arxiv = {https://arxiv.org/abs/2210.12881}
}

Fleet Supervisor Allocation: A Submodular Maximization Approach

Oguzhan Akcin, Ahmet Ege Tanriverdi, Kaan Kale, Sandeep P. Chinchali

CoRL 2024

OpenReview Code

BibTeX

@inproceedings{akcin2024fleet,
  title = {Fleet Supervisor Allocation: A Submodular Maximization Approach},
  author = {Akcin, Oguzhan and Tanriverdi, Ahmet Ege and Kale, Kaan and Chinchali, Sandeep P.},
  booktitle = {8th Annual Conference on Robot Learning},
  year = {2024},
  url = {https://openreview.net/forum?id=9dsBQhoqVr}
}

Online Foundation Model Selection in Robotics

Po-han Li, Oyku Selin Toprak, Aditya Narayanan, Ufuk Topcu, Sandeep Chinchali

arXiv 2024

PDF arXiv Code

BibTeX

@misc{li2024online,
  title = {Online Foundation Model Selection in Robotics},
  author = {Li, Po-han and Toprak, Oyku Selin and Narayanan, Aditya and Topcu, Ufuk and Chinchali, Sandeep},
  howpublished = {arXiv preprint arXiv:2402.08570},
  year = {2024},
  url = {https://arxiv.org/abs/2402.08570},
  arxiv = {https://arxiv.org/abs/2402.08570}
}

SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models

Harsh Goel, Sai Shankar Narasimhan, Oguzhan Akcin, Sandeep Chinchali

arXiv 2024

PDF arXiv Code

BibTeX

@misc{goel2024syndiffad,
  title = {{SynDiff-AD}: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models},
  author = {Goel, Harsh and Narasimhan, Sai Shankar and Akcin, Oguzhan and Chinchali, Sandeep},
  howpublished = {arXiv preprint arXiv:2411.16776},
  year = {2024},
  url = {https://arxiv.org/abs/2411.16776},
  arxiv = {https://arxiv.org/abs/2411.16776}
}

Context Matters: Leveraging Contextual Features for Time Series Forecasting

Sameep Chattopadhyay, Pulkit Paliwal, Sai Shankar Narasimhan, Shubhankar Agarwal, Sandeep P. Chinchali

arXiv 2024

PDF arXiv

BibTeX

@misc{chattopadhyay2024context,
  title = {Context Matters: Leveraging Contextual Features for Time Series Forecasting},
  author = {Chattopadhyay, Sameep and Paliwal, Pulkit and Narasimhan, Sai Shankar and Agarwal, Shubhankar and Chinchali, Sandeep P.},
  howpublished = {arXiv preprint arXiv:2410.12672},
  year = {2024},
  url = {https://arxiv.org/abs/2410.12672},
  arxiv = {https://arxiv.org/abs/2410.12672}
}

SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures

Oguzhan Baser, Kaan Kale, Sandeep Chinchali

Interspeech 2024

PDF arXiv Code

BibTeX

@inproceedings{baser2024securespectra,
  title = {SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures},
  author = {Baser, Oguzhan and Kale, Kaan and Chinchali, Sandeep},
  booktitle = {Proceedings of Interspeech},
  year = {2024},
  url = {https://arxiv.org/abs/2407.00913},
  arxiv = {https://arxiv.org/abs/2407.00913}
}

Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations

Ruihan Zhao, Ufuk Topcu, Sandeep Chinchali, Mariano Phielipp

CoRL 2024

PDF arXiv

BibTeX

@inproceedings{zhao2023learning,
  title = {Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations},
  author = {Zhao, Ruihan and Topcu, Ufuk and Chinchali, Sandeep and Phielipp, Mariano},
  booktitle = {8th Annual Conference on Robot Learning},
  year = {2024},
  arxiv = {https://arxiv.org/abs/2302.14242}
}

Towards Neuro-Symbolic Video Understanding

Minkyu Choi, Harsh Goel, Mohammad Omama, Yunhao Yang, Sahil Shah, Sandeep Chinchali

ECCV 2024 Oral

PDF arXiv Code

BibTeX

@inproceedings{Choi_2024_ECCV,
  title = {Towards Neuro-Symbolic Video Understanding},
  author = {Choi, Minkyu and Goel, Harsh and Omama, Mohammad and Yang, Yunhao and Shah, Sahil and Chinchali, Sandeep},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  year = {2024},
  month = sep,
  url = {https://arxiv.org/abs/2403.11021},
  arxiv = {https://arxiv.org/abs/2403.11021}
}

PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems

Aditya Narayanan, Pranav Kasibhatla, Minkyu Choi, Po-han Li, Ruihan Zhao, Sandeep Chinchali

IROS 2024

PDF arXiv Code

BibTeX

@inproceedings{Narayanan_2024_PEERNet,
  title = {PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems},
  author = {Narayanan, Aditya and Kasibhatla, Pranav and Choi, Minkyu and Li, Po-han and Zhao, Ruihan and Chinchali, Sandeep},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2024},
  organization = {IEEE},
  url = {https://arxiv.org/abs/2409.06078},
  arxiv = {https://arxiv.org/abs/2409.06078}
}

Time Weaver: A Conditional Time Series Generation Model

Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin, Sujay Sanghavi, Sandeep P. Chinchali

ICML 2024 Spotlight

PDF arXiv OpenReview

BibTeX

@inproceedings{narasimhan2024time,
  title = {Time Weaver: A Conditional Time Series Generation Model},
  author = {Narasimhan, Sai Shankar and Agarwal, Shubhankar and Akcin, Oguzhan and Sanghavi, Sujay and Chinchali, Sandeep P.},
  booktitle = {Forty-first International Conference on Machine Learning},
  year = {2024},
  url = {https://openreview.net/forum?id=WpKDeixmFr},
  arxiv = {https://arxiv.org/abs/2403.02682}
}

Safe Networked Robotics With Probabilistic Verification

Sai Shankar Narasimhan, Sharachchandra Bhat, Sandeep P. Chinchali

RA-L 2024

PDF arXiv Page Code

BibTeX

@article{10347353,
  title = {Safe Networked Robotics With Probabilistic Verification},
  author = {Narasimhan, Sai Shankar and Bhat, Sharachchandra and Chinchali, Sandeep P.},
  journal = {IEEE Robotics and Automation Letters},
  year = {2024},
  url = {https://doi.org/10.1109/LRA.2023.3340525},
  arxiv = {https://arxiv.org/abs/2302.09182}
}

Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics

Christos Verginis, Cevahir Koprulu, Sandeep Chinchali, Ufuk Topcu

Artificial Intelligence 2024

PDF arXiv

BibTeX

@article{verginis2022joint,
  title = {Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics},
  author = {Verginis, Christos and Koprulu, Cevahir and Chinchali, Sandeep and Topcu, Ufuk},
  journal = {Artificial Intelligence},
  year = {2024},
  doi = {10.1016/j.artint.2024.104146},
  arxiv = {https://arxiv.org/abs/2204.11833}
}

2023

Fleet Active Learning: A Submodular Maximization Approach

Oguzhan Akcin, Orhan Unuvar, Onat Ure, Sandeep P. Chinchali

CoRL 2023

OpenReview Code

BibTeX

@inproceedings{akcin2023fleet,
  title = {Fleet Active Learning: A Submodular Maximization Approach},
  author = {Akcin, Oguzhan and Unuvar, Orhan and Ure, Onat and Chinchali, Sandeep P.},
  booktitle = {7th Annual Conference on Robot Learning},
  year = {2023},
  url = {https://openreview.net/forum?id=low-53sFqn}
}

Task-aware Distributed Source Coding under Dynamic Bandwidth

Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi Pari, Ufuk Topcu, Sandeep P. Chinchali, Hyeji Kim

NeurIPS 2023

PDF arXiv OpenReview Code

BibTeX

@inproceedings{li2023taskaware,
  title = {Task-aware Distributed Source Coding under Dynamic Bandwidth},
  author = {Li, Po-han and Ankireddy, Sravan Kumar and Zhao, Ruihan and Mahjoub, Hossein Nourkhiz and Pari, Ehsan Moradi and Topcu, Ufuk and Chinchali, Sandeep P. and Kim, Hyeji},
  booktitle = {Thirty-seventh Conference on Neural Information Processing Systems},
  year = {2023},
  url = {https://openreview.net/forum?id=1A4ZqTmnye},
  arxiv = {https://arxiv.org/abs/2305.15523}
}

Poisoning Attacks Against Data-Driven Predictive Control

Yue Yu, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu

ACC 2023

PDF arXiv Page

BibTeX

@inproceedings{10156071,
  title = {Poisoning Attacks Against Data-Driven Predictive Control},
  author = {Yu, Yue and Zhao, Ruihan and Chinchali, Sandeep and Topcu, Ufuk},
  booktitle = {2023 American Control Conference (ACC)},
  year = {2023},
  url = {https://doi.org/10.23919/ACC55779.2023.10156071},
  arxiv = {https://arxiv.org/abs/2209.09108}
}

Robust Forecasting for Robotic Control: A Game-Theoretic Approach

Shubhankar Agarwal, David Fridovich-Keil, Sandeep P. Chinchali

ICRA 2023

PDF arXiv Code

BibTeX

@inproceedings{agarwal2023,
  title = {Robust Forecasting for Robotic Control: A Game-Theoretic Approach},
  author = {Agarwal, Shubhankar and Fridovich-Keil, David and Chinchali, Sandeep P.},
  booktitle = {2023 IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2023},
  arxiv = {https://arxiv.org/abs/2209.10802}
}

Differentially Private Timeseries Forecasts for Networked Control

Po-han Li, Sandeep P. Chinchali, Ufuk Topcu

ACC 2023

PDF arXiv Code

BibTeX

@inproceedings{li2022differentially,
  title = {Differentially Private Timeseries Forecasts for Networked Control},
  author = {Li, Po-han and Chinchali, Sandeep P. and Topcu, Ufuk},
  booktitle = {American Control Conference (ACC)},
  year = {2023},
  arxiv = {https://arxiv.org/abs/2210.00358},
  pdf = {https://arxiv.org/pdf/2210.00358.pdf}
}

Task-Aware Network Coding Over Butterfly Network

Jiangnan Cheng, Sandeep Chinchali, Ao Tang

ISIT 2023

PDF arXiv

BibTeX

@inproceedings{cheng2022network,
  title = {Task-Aware Network Coding Over Butterfly Network},
  author = {Cheng, Jiangnan and Chinchali, Sandeep and Tang, Ao},
  booktitle = {2023 IEEE International Symposium on Information Theory (ISIT)},
  year = {2023},
  doi = {10.1109/ISIT54713.2023.10206825},
  url = {https://arxiv.org/abs/2201.11917},
  arxiv = {https://arxiv.org/abs/2201.11917}
}

2022

Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach

Oguzhan Akcin, Po-han Li, Shubhankar Agarwal, Sandeep P. Chinchali

CoRL 2022

PDF arXiv Page Code

BibTeX

@inproceedings{akcin2022decentralized,
  title = {Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach},
  author = {Akcin, Oguzhan and Li, Po-han and Agarwal, Shubhankar and Chinchali, Sandeep P.},
  booktitle = {Proceedings of The 6th Conference on Robot Learning},
  pages = {978--988},
  year = {2022},
  organization = {PMLR},
  url = {https://proceedings.mlr.press/v205/akcin23a.html},
  arxiv = {https://arxiv.org/abs/2303.03602},
  pdf = {https://proceedings.mlr.press/v205/akcin23a/akcin23a.pdf}
}

Class-Aware Adversarial Transformers for Medical Image Segmentation

Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence Staib, James Duncan

NeurIPS 2022

PDF arXiv

BibTeX

@inproceedings{NEURIPS2022_You,
  title = {Class-Aware Adversarial Transformers for Medical Image Segmentation},
  author = {You, Chenyu and Zhao, Ruihan and Liu, Fenglin and Dong, Siyuan and Chinchali, Sandeep and Topcu, Ufuk and Staib, Lawrence and Duncan, James},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2022},
  arxiv = {https://arxiv.org/abs/2201.10737},
  pdf = {https://proceedings.neurips.cc/paper_files/paper/2022/file/be99227ef4a4de84bb45d7dc7b53f808-Paper-Conference.pdf}
}

Adversarial Examples for Model-Based Control: A Sensitivity Analysis

Po-han Li, Ufuk Topcu, Sandeep P Chinchali

Allerton 2022

PDF arXiv Page Code

BibTeX

@inproceedings{li2022adversarial,
  title = {Adversarial Examples for Model-Based Control: A Sensitivity Analysis},
  author = {Li, Po-han and Topcu, Ufuk and Chinchali, Sandeep P},
  booktitle = {2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton)},
  pages = {1--7},
  year = {2022},
  organization = {IEEE},
  url = {https://ieeexplore.ieee.org/document/9929419/},
  arxiv = {https://arxiv.org/abs/2207.06982}
}

Dynamic Selection of Perception Models for Robotic Control

Bineet Ghosh, Masaad Khan, Adithya Ashok, Sandeep Chinchali, Parasara Sridhar Duggirala

arXiv 2022

PDF arXiv

BibTeX

@misc{ghosh2022dynamic,
  title = {Dynamic Selection of Perception Models for Robotic Control},
  author = {Ghosh, Bineet and Khan, Masaad and Ashok, Adithya and Chinchali, Sandeep and Duggirala, Parasara Sridhar},
  year = {2022},
  howpublished = {arXiv preprint arXiv:2207.06390},
  url = {https://arxiv.org/abs/2207.06390},
  arxiv = {https://arxiv.org/abs/2207.06390}
}

Task-aware privacy preservation for multi-dimensional data

Jiangnan Cheng, Ao Tang, Sandeep Chinchali

ICML 2022

PDF arXiv Page

BibTeX

@inproceedings{cheng2022task,
  title = {Task-aware privacy preservation for multi-dimensional data},
  author = {Cheng, Jiangnan and Tang, Ao and Chinchali, Sandeep},
  booktitle = {International Conference on Machine Learning},
  pages = {3835--3851},
  year = {2022},
  organization = {PMLR},
  url = {https://proceedings.mlr.press/v162/cheng22a.html},
  arxiv = {https://arxiv.org/abs/2110.02329}
}

LaDFN: Learning actions for drift-free navigation in highly dynamic scenes

Mohammad Omama, Sundar Sripada V. S., Sandeep Chinchali, K Madhava Krishna

ACC 2022

PDF arXiv

BibTeX

@inproceedings{omama2022ladfn,
  title = {{LaDFN}: Learning actions for drift-free navigation in highly dynamic scenes},
  author = {Omama, Mohammad and V. S., Sundar Sripada and Chinchali, Sandeep and Krishna, K Madhava},
  booktitle = {2022 American Control Conference (ACC)},
  pages = {1200--1207},
  year = {2022},
  organization = {IEEE},
  arxiv = {https://arxiv.org/abs/2110.14928}
}

ML-EXray: Visibility into ML Deployment on the Edge

Hang Qiu, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti

MLSys 2022

PDF arXiv

BibTeX

@inproceedings{qiu2022ml,
  title = {ML-EXray: Visibility into ML Deployment on the Edge},
  author = {Qiu, Hang and Vavelidou, Ioanna and Li, Jian and Pergament, Evgenya and Warden, Pete and Chinchali, Sandeep and Asgar, Zain and Katti, Sachin},
  booktitle = {Proceedings of Machine Learning and Systems},
  volume = {4},
  pages = {337--351},
  year = {2022},
  arxiv = {https://arxiv.org/abs/2111.04779}
}

Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control

Shubhankar Agarwal, Sandeep P. Chinchali

CoRL 2022

PDF arXiv OpenReview

BibTeX

@inproceedings{agarwal2022synthesizing,
  title = {Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control},
  author = {Agarwal, Shubhankar and Chinchali, Sandeep P.},
  booktitle = {6th Annual Conference on Robot Learning},
  year = {2022},
  url = {https://openreview.net/forum?id=WJbw_C-pCox},
  arxiv = {https://arxiv.org/abs/2204.06173}
}

Drift Reduced Navigation with Deep Explainable Features

Mohammad Omama, Sundar Sripada V. S., Sandeep Chinchali, Arun Kumar Singh, K Madhava Krishna

IROS 2022

PDF arXiv

BibTeX

@inproceedings{omama2022drift,
  title = {Drift Reduced Navigation with Deep Explainable Features},
  author = {Omama, Mohammad and V. S., Sundar Sripada and Chinchali, Sandeep and Singh, Arun Kumar and Krishna, K Madhava},
  booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {6316--6323},
  year = {2022},
  organization = {IEEE},
  arxiv = {https://arxiv.org/abs/2203.06897}
}

2021

Decentralized Sharing and Valuation of Fleet Robotic Data

Yuchong Geng, Dongyue Zhang, Po-han Li, Oguzhan Akcin, Ao Tang, Sandeep P Chinchali

CoRL 2021

PDF Page

BibTeX

@inproceedings{geng2022decentralized,
  title = {Decentralized Sharing and Valuation of Fleet Robotic Data},
  author = {Geng, Yuchong and Zhang, Dongyue and Li, Po-han and Akcin, Oguzhan and Tang, Ao and Chinchali, Sandeep P},
  booktitle = {Proceedings of the 5th Conference on Robot Learning},
  pages = {1795--1800},
  year = {2021},
  organization = {PMLR},
  url = {https://proceedings.mlr.press/v164/geng22a.html},
  pdf = {https://proceedings.mlr.press/v164/geng22a/geng22a.pdf}
}

Data Sharing and Compression for Cooperative Networked Control

Jiangnan Cheng, Marco Pavone, Sachin Katti, Sandeep Chinchali, Ao Tang

NeurIPS 2021

PDF arXiv

BibTeX

@inproceedings{cheng2021data,
  title = {Data Sharing and Compression for Cooperative Networked Control},
  author = {Cheng, Jiangnan and Pavone, Marco and Katti, Sachin and Chinchali, Sandeep and Tang, Ao},
  booktitle = {Advances in Neural Information Processing Systems},
  volume = {34},
  pages = {5947--5958},
  year = {2021},
  arxiv = {https://arxiv.org/abs/2109.14675}
}

Personalized Federated Learning of Driver Prediction Models for Autonomous Driving

Manabu Nakanoya, Junha Im, Hang Qiu, Sachin Katti, Marco Pavone, Sandeep Chinchali

arXiv 2021

PDF arXiv

BibTeX

@misc{nakanoya2021personalized,
  title = {Personalized Federated Learning of Driver Prediction Models for Autonomous Driving},
  author = {Nakanoya, Manabu and Im, Junha and Qiu, Hang and Katti, Sachin and Pavone, Marco and Chinchali, Sandeep},
  year = {2021},
  howpublished = {arXiv preprint arXiv:2112.00956},
  url = {https://arxiv.org/abs/2112.00956},
  arxiv = {https://arxiv.org/abs/2112.00956}
}

Network offloading policies for cloud robotics: a learning-based approach

Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone

Autonomous Robots 2021

PDF arXiv

BibTeX

@article{chinchali2021network,
  title = {Network offloading policies for cloud robotics: a learning-based approach},
  author = {Chinchali, Sandeep and Sharma, Apoorva and Harrison, James and Elhafsi, Amine and Kang, Daniel and Pergament, Evgenya and Cidon, Eyal and Katti, Sachin and Pavone, Marco},
  journal = {Autonomous Robots},
  volume = {45},
  number = {7},
  pages = {997--1012},
  year = {2021},
  publisher = {Springer},
  arxiv = {https://arxiv.org/abs/1902.05703}
}

Interpretable trade-offs between robot task accuracy and compute efficiency

Bineet Ghosh, Sandeep Chinchali, Parasara Sridhar Duggirala

IROS 2021

PDF arXiv

BibTeX

@inproceedings{ghosh2021interpretable,
  title = {Interpretable trade-offs between robot task accuracy and compute efficiency},
  author = {Ghosh, Bineet and Chinchali, Sandeep and Duggirala, Parasara Sridhar},
  booktitle = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {5364--5371},
  year = {2021},
  organization = {IEEE},
  arxiv = {https://arxiv.org/abs/2108.01235}
}

Combining reinforcement learning with model predictive control for on-ramp merging

Joseph Lubars, Harsh Gupta, Sandeep Chinchali, Liyun Li, Adnan Raja, R Srikant, Xinzhou Wu

ITSC 2021

PDF arXiv

BibTeX

@inproceedings{lubars2021combining,
  title = {Combining reinforcement learning with model predictive control for on-ramp merging},
  author = {Lubars, Joseph and Gupta, Harsh and Chinchali, Sandeep and Li, Liyun and Raja, Adnan and Srikant, R and Wu, Xinzhou},
  booktitle = {2021 IEEE International Intelligent Transportation Systems Conference (ITSC)},
  pages = {942--947},
  year = {2021},
  organization = {IEEE},
  arxiv = {https://arxiv.org/abs/2011.08484}
}

Co-Design of Communication and Machine Inference for Cloud Robotics

Manabu Nakanoya, Sandeep Chinchali, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Marco Pavone

RSS 2021

PDF arXiv

BibTeX

@inproceedings{nakanoya2021co,
  title = {Co-Design of Communication and Machine Inference for Cloud Robotics},
  author = {Nakanoya, Manabu and Chinchali, Sandeep and Anemogiannis, Alexandros and Datta, Akul and Katti, Sachin and Pavone, Marco},
  booktitle = {Robotics: Science and Systems},
  year = {2021},
  arxiv = {https://arxiv.org/abs/2011.03216}
}

2020

Sampling training data for continual learning between robots and the cloud

Sandeep Chinchali, Evgenya Pergament, Manabu Nakanoya, Eyal Cidon, Edward Zhang, Dinesh Bharadia, Marco Pavone, Sachin Katti

ISER 2020

PDF arXiv Project

BibTeX

@inproceedings{chinchali2020sampling,
  title = {Sampling training data for continual learning between robots and the cloud},
  author = {Chinchali, Sandeep and Pergament, Evgenya and Nakanoya, Manabu and Cidon, Eyal and Zhang, Edward and Bharadia, Dinesh and Pavone, Marco and Katti, Sachin},
  booktitle = {International Symposium on Experimental Robotics},
  pages = {296--308},
  year = {2020},
  organization = {Springer},
  arxiv = {https://arxiv.org/abs/2012.06739}
}

Multi-agent reinforcement learning for networked system control

Tianshu Chu, Sandeep Chinchali, Sachin Katti

ICLR 2020

PDF arXiv

BibTeX

@inproceedings{chu2020multi,
  title = {Multi-agent reinforcement learning for networked system control},
  author = {Chu, Tianshu and Chinchali, Sandeep and Katti, Sachin},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://arxiv.org/abs/2004.01339},
  arxiv = {https://arxiv.org/abs/2004.01339}
}

System and method for widescale adaptive bitrate selection

Tianshu Chu, Rakesh Misra, Sandeep Chinchali, Alexandros Anemogiannis, Rahul Tandra, Kanthi Nagaraj

US Patent 2020

BibTeX

@misc{chu2020system,
  title = {System and method for widescale adaptive bitrate selection},
  author = {Chu, Tianshu and Misra, Rakesh and Chinchali, Sandeep and Anemogiannis, Alexandros and Tandra, Rahul and Nagaraj, Kanthi},
  year = {2020},
  month = mar,
  publisher = {Google Patents},
  note = {US Patent App. 16/582,089}
}

Collaborative Perception and Learning Between Robots and the Cloud

Sandeep P Chinchali

Stanford PhD thesis 2020

BibTeX

@phdthesis{chinchali2020collaborative,
  title = {Collaborative Perception and Learning Between Robots and the Cloud},
  author = {Chinchali, Sandeep P},
  school = {Stanford University},
  year = {2020}
}

2019

Multi-objective optimal control for proactive decision making with temporal logic models

Sandeep P Chinchali, Scott C Livingston, Mo Chen, Marco Pavone

IJRR 2019

BibTeX

@article{chinchali2019multi,
  title = {Multi-objective optimal control for proactive decision making with temporal logic models},
  author = {Chinchali, Sandeep P and Livingston, Scott C and Chen, Mo and Pavone, Marco},
  journal = {The International Journal of Robotics Research},
  volume = {38},
  number = {12-13},
  pages = {1490--1512},
  year = {2019},
  publisher = {SAGE Publications Sage UK: London, England}
}

2018

Neural networks meet physical networks: Distributed inference between edge devices and the cloud

Sandeep P Chinchali, Eyal Cidon, Evgenya Pergament, Tianshu Chu, Sachin Katti

HotNets 2018

BibTeX

@inproceedings{chinchali2018neural,
  title = {Neural networks meet physical networks: Distributed inference between edge devices and the cloud},
  author = {Chinchali, Sandeep P and Cidon, Eyal and Pergament, Evgenya and Chu, Tianshu and Katti, Sachin},
  booktitle = {Proceedings of the 17th ACM Workshop on Hot Topics in Networks},
  pages = {50--56},
  year = {2018}
}

Cellular network traffic scheduling with deep reinforcement learning

Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti

AAAI 2018

BibTeX

@inproceedings{chinchali2018cellular,
  title = {Cellular network traffic scheduling with deep reinforcement learning},
  author = {Chinchali, Sandeep and Hu, Pan and Chu, Tianshu and Sharma, Manu and Bansal, Manu and Misra, Rakesh and Pavone, Marco and Katti, Sachin},
  booktitle = {Thirty-second AAAI conference on artificial intelligence},
  year = {2018}
}

2016

NUMFabric: Fast and flexible bandwidth allocation in datacenters

Kanthi Nagaraj, Dinesh Bharadia, Hongzi Mao, Sandeep Chinchali, Mohammad Alizadeh, Sachin Katti

SIGCOMM 2016

BibTeX

@inproceedings{nagaraj2016numfabric,
  title = {{NUMFabric}: Fast and flexible bandwidth allocation in datacenters},
  author = {Nagaraj, Kanthi and Bharadia, Dinesh and Mao, Hongzi and Chinchali, Sandeep and Alizadeh, Mohammad and Katti, Sachin},
  booktitle = {Proceedings of the 2016 ACM SIGCOMM Conference},
  pages = {188--201},
  year = {2016}
}

Simultaneous model identification and task satisfaction in the presence of temporal logic constraints

Sandeep P Chinchali, Scott C Livingston, Marco Pavone, Joel W Burdick

ICRA 2016

BibTeX

@inproceedings{chinchali2016simultaneous,
  title = {Simultaneous model identification and task satisfaction in the presence of temporal logic constraints},
  author = {Chinchali, Sandeep P and Livingston, Scott C and Pavone, Marco and Burdick, Joel W},
  booktitle = {2016 IEEE International Conference on Robotics and Automation (ICRA)},
  pages = {3682--3689},
  year = {2016},
  organization = {IEEE}
}

Erosion of conserved binding sites in personal genomes points to medical histories

Harendra Guturu, Sandeep Chinchali, Shoa L Clarke, Gill Bejerano

PLOS Comput. Biol. 2016

BibTeX

@article{guturu2016erosion,
  title = {Erosion of conserved binding sites in personal genomes points to medical histories},
  author = {Guturu, Harendra and Chinchali, Sandeep and Clarke, Shoa L and Bejerano, Gill},
  journal = {PLoS computational biology},
  volume = {12},
  number = {2},
  pages = {e1004711},
  year = {2016},
  publisher = {Public Library of Science San Francisco, CA USA}
}

2013

Scheduling packets over multiple interfaces while respecting user preferences

Kok-Kiong Yap, Te-Yuan Huang, Yiannis Yiakoumis, Sandeep Chinchali, Nick McKeown, Sachin Katti

CoNEXT 2013

BibTeX

@inproceedings{yap2013scheduling,
  title = {Scheduling packets over multiple interfaces while respecting user preferences},
  author = {Yap, Kok-Kiong and Huang, Te-Yuan and Yiakoumis, Yiannis and Chinchali, Sandeep and McKeown, Nick and Katti, Sachin},
  booktitle = {Proceedings of the ninth ACM conference on Emerging networking experiments and technologies},
  pages = {109--120},
  year = {2013}
}

2012

Towards formal synthesis of reactive controllers for dexterous robotic manipulation

Sandeep Chinchali, Scott C Livingston, Ufuk Topcu, Joel W Burdick, Richard M Murray

ICRA 2012

BibTeX

@inproceedings{chinchali2012towards,
  title = {Towards formal synthesis of reactive controllers for dexterous robotic manipulation},
  author = {Chinchali, Sandeep and Livingston, Scott C and Topcu, Ufuk and Burdick, Joel W and Murray, Richard M},
  booktitle = {2012 IEEE International Conference on Robotics and Automation},
  pages = {5183--5189},
  year = {2012},
  organization = {IEEE}
}

Deep Learning for Wireless Interference Segmentation and Prediction

Sandeep Chinchali, Sameep Tandon

BibTeX

@misc{chinchali2012deep,
  title = {Deep Learning for Wireless Interference Segmentation and Prediction},
  author = {Chinchali, Sandeep and Tandon, Sameep},
  year = {2012}
}

2010

Axel rover paddle wheel design, efficiency, and sinkage on deformable terrain

Pablo Abad-Manterola, Joel W Burdick, Issa AD Nesnas, Sandeep Chinchali, Christine Fuller, Xuecheng Zhou

ICRA 2010

BibTeX

@inproceedings{abad2010axel,
  title = {Axel rover paddle wheel design, efficiency, and sinkage on deformable terrain},
  author = {Abad-Manterola, Pablo and Burdick, Joel W and Nesnas, Issa AD and Chinchali, Sandeep and Fuller, Christine and Zhou, Xuecheng},
  booktitle = {2010 IEEE International Conference on Robotics and Automation},
  pages = {2821--2827},
  year = {2010},
  organization = {IEEE}
}