Sanjay Krishnan
Orcid: 0000-0001-6968-4090
According to our database1,
Sanjay Krishnan
authored at least 93 papers
between 2014 and 2024.
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Bibliography
2024
Proc. VLDB Endow., July, 2024
A System for Quantifying Data Science Workflows with Fine-Grained Procedural Logging and a Pilot Study.
CoRR, 2024
CoRR, 2024
Proceedings of the 27th International Conference on Database Theory, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Riveter: Adaptive Query Suspension and Resumption Framework for Cloud Native Databases.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 14th Conference on Innovative Data Systems Research, 2024
2023
AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2023
Proc. ACM Manag. Data, 2023
DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning.
CoRR, 2023
JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 2nd Workshop on Sustainable Computer Systems, 2023
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2023
2022
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow.
Proc. VLDB Endow., 2022
Proceedings of the HILDA@SIGMOD 2022: Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2022
Proceedings of the BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments, 2022
2021
Proc. VLDB Endow., 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Understanding and optimizing packed neural network training for hyper-parameter tuning.
Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021
Proceedings of the 11th Conference on Innovative Data Systems Research, 2021
2020
CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness.
Proc. VLDB Endow., 2020
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios.
CoRR, 2020
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the International Conference on Computing, Networking and Communications, 2020
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020
2019
ACM SIGOPS Oper. Syst. Rev., 2019
SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards.
Int. J. Robotics Res., 2019
Optimizing Robot-Assisted Surgery Suture Plans to Avoid Joint Limits and Singularities.
Proceedings of the International Symposium on Medical Robotics, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019
Automating Planar Object Singulation by Linear Pushing with Single-point and Multi-point Contacts.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
PhD thesis, 2018
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018
Proceedings of the International Symposium on Medical Robotics, 2018
Using intermittent synchronization to compensate for rhythmic body motion during autonomous surgical cutting and debridement.
Proceedings of the International Symposium on Medical Robotics, 2018
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
2017
A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets.
Proc. VLDB Endow., 2017
Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning.
Int. J. Robotics Res., 2017
Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning.
CoRR, 2017
CoRR, 2017
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017
M-CAFE 2.0: A Scalable Platform with Comparative Plots and Topic Tagging for Ongoing Course Feedback.
Proceedings of the 18th Annual Conference on Information Technology Education and the 6th Annual Conference on Research in Information Technology, 2017
Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Malasakit 1.0: A participatory online platform for crowdsourcing disaster risk reduction strategies in the philippines.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2017
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017
Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
2016
Proc. VLDB Endow., 2016
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards.
CoRR, 2016
SWIRL: A SequentialWindowed Inverse Reinforcement Learning Algorithm for Robot Tasks With Delayed Rewards.
Proceedings of the Algorithmic Foundations of Robotics XII, 2016
Proceedings of the 2016 International Conference on Management of Data, 2016
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2016
Proceedings of the 2016 International Conference on Management of Data, 2016
Proceedings of the 2016 International Conference on Management of Data, 2016
TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
2015
Proc. VLDB Endow., 2015
M-CAFE 1.0: Motivating and Prioritizing Ongoing Student Feedback During MOOCs and Large on-Campus Courses using Collaborative Filtering.
Proceedings of the 16th Annual Conference on Information Technology Education, 2015
Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2015
Proceedings of the Second ACM Conference on Learning @ Scale, 2015
DevCAFE 1.0: A participatory platform for assessing development initiatives in the field.
Proceedings of the 2015 IEEE Global Humanitarian Technology Conference, 2015
2014
Proceedings of the International Conference on Management of Data, 2014
Proceedings of the International Conference on Management of Data, 2014
A methodology for learning, analyzing, and mitigating social influence bias in recommender systems.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014