Sanjay Krishnan

128 papers A* 10A 7B 1C 2Misc 4Journal 69Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification. CoRR Jian Yu, Joakim Nguyen, Jinrui Fang, Awais Naeem, Zeyuan Cao, Sanjay Krishnan, Nicholas Konz, Tianlong Chen, Chandra Krishnan, Hairong Wang, Edward Castillo, Ying Ding, Ankita Shukla
2025	—	`conf`	Agentic Workflows for Extraction of Access Control Matrices from Policy Documents. ICDEW Pranav Subramaniam, Sanjay Krishnan
2025	J	`jnl`	Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams. CoRR Ted Shaowang, Shinan Liu, Jonatas Marques, Nick Feamster, Sanjay Krishnan
2025	J	`jnl`	Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams. Proc. VLDB Endow. Ted Shaowang, Shinan Liu, Jonatas Marques, Nick Feamster, Sanjay Krishnan
2025	J	`jnl`	DeepScribe: Localization and Classification of Elamite Cuneiform Signs via Deep Learning. ACM Journal on Computing and Cultural Heritage Edward C. Williams, Grace Su, Sandra R. Schloen, Miller C. Prosser, Susanne Paulus, Sanjay Krishnan
2025	—	`conf`	Fast Capture of Cell-Level Provenance in Numpy. Provenance Week@SIGMOD Jinjin Zhao, Sanjay Krishnan
2025	J	`jnl`	Fast Capture of Cell-Level Provenance in Numpy. CoRR Jinjin Zhao, Sanjay Krishnan
2025	J	`jnl`	Metadata Management for AI-Augmented Data Workflows. CoRR Jinjin Zhao, Sanjay Krishnan
2025	J	`jnl`	Range (Rényi) Entropy Queries and Partitioning. Log. Methods Comput. Sci. Aryan Esmailpour, Sanjay Krishnan, Stavros Sintos
2025	J	`jnl`	TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows. CoRR Jinjin Zhao, Sanjay Krishnan
2024	J	`jnl`	A Simple and Fast Way to Handle Semantic Errors in Transactions. CoRR Jinghan Zeng, Eugene Wu, Sanjay Krishnan
2024	J	`jnl`	A System for Quantifying Data Science Workflows with Fine-Grained Procedural Logging and a Pilot Study. CoRR Jinjin Zhao, Avidgor Gal, Sanjay Krishnan
2024	A*	`conf`	Compression and In-Situ Query Processing for Fine-Grained Array Lineage. ICDE Jinjin Zhao, Sanjay Krishnan
2024	J	`jnl`	Compression and In-Situ Query Processing for Fine-Grained Array Lineage. CoRR Jinjin Zhao, Sanjay Krishnan
2024	J	`jnl`	Data Makes Better Data Scientists. CoRR Jinjin Zhao, Avigdor Gal, Sanjay Krishnan
2024	J	`jnl`	Intent-Based Access Control: Using LLMs to Intelligently Manage Access Control. CoRR Pranav Subramaniam, Sanjay Krishnan
2024	J	`jnl`	Optimizing Collections of Bloom Filters within a Space Budget. Proc. VLDB Endow. Gabriel Mersy, Zhuo Wang, Stavros Sintos, Sanjay Krishnan
2024	A	`conf`	Range Entropy Queries and Partitioning. ICDT Sanjay Krishnan, Stavros Sintos
2024	A*	`conf`	Riveter: Adaptive Query Suspension and Resumption Framework for Cloud Native Databases. ICDE Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
2024	J	`jnl`	ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis. CoRR Shinan Liu, Ted Shaowang, Gerry Wan, Jeewon Chae, Jonatas Marques, Sanjay Krishnan, Nick Feamster
2024	J	`jnl`	Towards Causal Physical Error Discovery in Video Analytics Systems. CoRR Jinjin Zhao, Ted Shaowang, Stavros Sintos, Sanjay Krishnan
2024	A	`conf`	Towards Resource-adaptive Query Execution in Cloud Native Databases. CIDR Rui Liu, Jun Hyuk Chang, Riki Otaki, Zhe Heng Eng, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
2023	J	`jnl`	AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shinan Liu, Tarun Mangla, Ted Shaowang, Jinjin Zhao, John Paparrizos, Sanjay Krishnan, Nick Feamster
2023	—	`conf`	Data Makes Better Data Scientists. HILDA@SIGMOD Jinjin Zhao, Avigdor Gal, Sanjay Krishnan
2023	J	`jnl`	Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. CoRR Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
2023	J	`jnl`	DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning. CoRR Edward C. Williams, Grace Su, Sandra R. Schloen, Miller C. Prosser, Susanne Paulus, Sanjay Krishnan
2023	J	`jnl`	EdgeServe: An Execution Layer for Decentralized Prediction. CoRR Ted Shaowang, Sanjay Krishnan
2023	J	`jnl`	Hierarchical Residual Encoding for Multiresolution Time Series Compression. Proc. ACM Manag. Data Bruno Barbarioli, Gabriel Mersy, Stavros Sintos, Sanjay Krishnan
2023	J	`jnl`	How Large Language Models Will Disrupt Data Management. Proc. VLDB Endow. Raul Castro Fernandez, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan, Chenhao Tan
2023	A*	`conf`	JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing. ICDE Xi Liang, Stavros Sintos, Sanjay Krishnan
2023	—	`ed.`	Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023. VLDB Workshops Rajesh Bordawekar, Cinzia Cappiello, Vasilis Efthymiou, Lisa Ehrlinger, Vijay Gadepally, Sainyam Galhotra, Sandra Geisler, Sven Groppe, Le Gruenwald, Alon Y. Halevy, Hazar Harmouch, Oktie Hassanzadeh, Ihab F. Ilyas, Ernesto Jiménez-Ruiz, Sanjay Krishnan, Tirthankar Lahiri, Guoliang Li, Jiaheng Lu, Wolfgang Mauerer, Umar Farooq Minhas, Felix Naumann, M. Tamer Özsu, El Kindi Rezig, Kavitha Srinivas, Michael Stonebraker, Satyanarayana R. Valluri, Maria-Esther Vidal, Haixun Wang, Jiannan Wang, Yingjun Wu, Xun Xue, Mohamed Zaït, Kai Zeng
2023	J	`jnl`	Quantifying Uncertainty in Aggregate Queries over Integrated Datasets. CoRR Deniz Turkcapar, Sanjay Krishnan
2023	J	`jnl`	Range Entropy Queries and Partitioning. CoRR Sanjay Krishnan, Stavros Sintos
2023	A*	`conf`	Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics. ICDE Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
2023	—	`conf`	Toward a Life Cycle Assessment for the Carbon Footprint of Data. HotCarbon Gabriel Mersy, Sanjay Krishnan
2022	J	`jnl`	Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. Proc. VLDB Endow. Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
2022	J	`jnl`	JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing. CoRR Xi Liang, Stavros Sintos, Sanjay Krishnan
2022	—	`conf`	Sensor fusion on the edge: initial experiments in the EdgeServe system. BiDEDE@SIGMOD Ted Shaowang, Xi Liang, Sanjay Krishnan
2022	—	`conf`	Towards causal physical error discovery in video analytics systems. HILDA@SIGMOD Ted Shaowang, Jinjin Zhao, Stavros Sintos, Sanjay Krishnan
2021	A*	`conf`	CIAO: An Optimization Framework for Client-Assisted Data Loading. ICDE Cong Ding, Dixin Tang, Xi Liang, Aaron J. Elmore, Sanjay Krishnan
2021	J	`jnl`	CIAO: An Optimization Framework for Client-Assisted Data Loading. CoRR Cong Ding, Dixin Tang, Xi Liang, Aaron J. Elmore, Sanjay Krishnan
2021	—	`conf`	Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing. SIGMOD Conference Xi Liang, Stavros Sintos, Zechao Shang, Sanjay Krishnan
2021	J	`jnl`	Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing. CoRR Xi Liang, Stavros Sintos, Zechao Shang, Sanjay Krishnan
2021	J	`jnl`	Declarative Data Serving: The Future of Machine Learning Inference on the Edge. Proc. VLDB Endow. Ted Shaowang, Nilesh Jain, Dennis Matthews, Sanjay Krishnan
2021	—	`conf`	Resource-efficient Shared Query Execution via Exploiting Time Slackness. SIGMOD Conference Dixin Tang, Zechao Shang, William W. Ma, Aaron J. Elmore, Sanjay Krishnan
2021	—	`conf`	Understanding and optimizing packed neural network training for hyper-parameter tuning. DEEM@SIGMOD Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
2021	A	`conf`	VergeDB: A Database for IoT Analytics on Edge Devices. CIDR John Paparrizos, Chunwei Liu, Bruno Barbarioli, Johnny Hwang, Ikraduya Edian, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
2021	—	`conf`	Version Reconciliation for Collaborative Databases. SoCC Nalin Ranjan, Zechao Shang, Sanjay Krishnan, Aaron J. Elmore
2021	J	`jnl`	Version Reconciliation for Collaborative Databases. CoRR Nalin Ranjan, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan
2021	J	`jnl`	VizExtract: Automatic Relation Extraction from Data Visualizations. CoRR Dale Decatur, Sanjay Krishnan
2020	J	`jnl`	An Empirical Evaluation of Perturbation-based Defenses. CoRR Adam Dziedzic, Sanjay Krishnan
2020	J	`jnl`	CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness. Proc. VLDB Endow. Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
2020	A	`conf`	CrocodileDB: Efficient Database Execution through Intelligent Deferment. CIDR Zechao Shang, Xi Liang, Dixin Tang, Cong Ding, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
2020	—	`conf`	Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints. SIGMOD Conference Xi Liang, Zechao Shang, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
2020	J	`jnl`	Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints. CoRR Xi Liang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
2020	Misc	`conf`	Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT. ICNC Vanlin Sathya, Adam Dziedzic, Monisha Ghosh, Sanjay Krishnan
2020	J	`jnl`	Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios. CoRR Adam Dziedzic, Vanlin Sathya, Muhammad Iqbal Rochman, Monisha Ghosh, Sanjay Krishnan
2020	J	`jnl`	The Data Station: Combining Data, Compute, and Market Forces. CoRR Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster
2020	—	`conf`	Thrifty Query Execution via Incrementability. SIGMOD Conference Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
2020	J	`jnl`	Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning. CoRR Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
2019	J	`jnl`	AlphaClean: Automatic Generation of Data Cleaning Pipelines. CoRR Sanjay Krishnan, Eugene Wu
2019	J	`jnl`	Artificial Intelligence in Resource-Constrained and Shared Environments. ACM SIGOPS Oper. Syst. Rev. Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin, John Paparrizos, Zechao Shang, Adam Dziedzic, Rui Liu
2019	—	`conf`	Automating Planar Object Singulation by Linear Pushing with Single-point and Multi-point Contacts. CASE Zisu Dong, Sanjay Krishnan, Sona Dolasia, Ashwin Balakrishna, Michael Danielczuk, Ken Goldberg
2019	A*	`conf`	Band-limited Training and Inference for Convolutional Neural Networks. ICML Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
2019	J	`jnl`	Band-limited Training and Inference for Convolutional Neural Networks. CoRR Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
2019	J	`jnl`	Deep Unsupervised Cardinality Estimation. Proc. VLDB Endow. Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
2019	A	`conf`	DeepLens: Towards a Visual Data Management System. CIDR Sanjay Krishnan, Adam Dziedzic, Aaron J. Elmore
2019	J	`jnl`	Intermittent Query Processing. Proc. VLDB Endow. Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
2019	J	`jnl`	Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT. CoRR Vanlin Sathya, Adam Dziedzic, Monisha Ghosh, Sanjay Krishnan
2019	J	`jnl`	Opportunistic View Materialization with Deep Reinforcement Learning. CoRR Xi Liang, Aaron J. Elmore, Sanjay Krishnan
2019	—	`conf`	Optimizing Robot-Assisted Surgery Suture Plans to Avoid Joint Limits and Singularities. ISMR Brijen Thananjeyan, Ajay Kumar Tanwani, Jessica J. Ji, Danyal Fer, Vatsal Patel, Sanjay Krishnan, Ken Goldberg
2019	J	`jnl`	SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards. Int. J. Robotics Res. Sanjay Krishnan, Animesh Garg, Richard Liaw, Brijen Thananjeyan, Lauren Miller, Florian T. Pokorny, Ken Goldberg
2019	J	`jnl`	Selectivity Estimation with Deep Likelihood Models. CoRR Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
2018	J	`jnl`	DeepLens: Towards a Visual Data Management System. CoRR Sanjay Krishnan, Adam Dziedzic, Aaron J. Elmore
2018	A*	`conf`	Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure. ICRA Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg
2018	C	`conf`	Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. WAFR Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
2018	J	`jnl`	Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. CoRR Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
2018	—	`—`	Hierarchical Deep Reinforcement Learning For Robotics and Data Science. Sanjay Krishnan
2018	—	`conf`	Learning 2D Surgical Camera Motion From Demonstrations. CASE Jessica J. Ji, Sanjay Krishnan, Vatsal Patel, Danyal Fer, Ken Goldberg
2018	J	`jnl`	Learning to Optimize Join Queries With Deep Reinforcement Learning. CoRR Sanjay Krishnan, Zongheng Yang, Ken Goldberg, Joseph M. Hellerstein, Ion Stoica
2018	—	`conf`	Parametrized Hierarchical Procedures for Neural Programming. ICLR (Poster) Roy Fox, Richard Shin, Sanjay Krishnan, Ken Goldberg, Dawn Song, Ion Stoica
2018	—	`conf`	SPRK: A low-cost stewart platform for motion study in surgical robotics. ISMR Vatsal Patel, Sanjay Krishnan, Aimee Goncalves, Ken Goldberg
2018	—	`conf`	Using intermittent synchronization to compensate for rhythmic body motion during autonomous surgical cutting and debridement. ISMR Vatsal Patel, Sanjay Krishnan, Aimee Goncalves, Carolyn Chen, Walter Doug Boyd, Ken Goldberg
2017	J	`jnl`	A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets. Proc. VLDB Endow. Yeounoh Chung, Sanjay Krishnan, Tim Kraska
2017	—	`conf`	An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations. CASE Carolyn Chen, Sanjay Krishnan, Michael Laskey, Roy Fox, Ken Goldberg
2017	J	`jnl`	BoostClean: Automated Error Detection and Repair for Machine Learning. CoRR Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Eugene Wu
2017	A*	`conf`	Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations. ICRA Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin Jamieson, Anca D. Dragan, Ken Goldberg
2017	J	`jnl`	Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning. CoRR Richard Liaw, Sanjay Krishnan, Animesh Garg, Daniel Crankshaw, Joseph E. Gonzalez, Ken Goldberg
2017	Misc	`conf`	DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations. CoRL Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg
2017	J	`jnl`	DDCO: Discovery of Deep Continuous Options forRobot Learning from Demonstrations. CoRR Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg
2017	J	`jnl`	Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure. CoRR Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg
2017	Misc	`conf`	M-CAFE 2.0: A Scalable Platform with Comparative Plots and Topic Tagging for Ongoing Course Feedback. SIGITE Mo Zhou, Sanjay Krishnan, Jay Patel, Brandie Nonnecke, Camille Crittenden, Ken Goldberg
2017	—	`conf`	Malasakit 1.0: A participatory online platform for crowdsourcing disaster risk reduction strategies in the philippines. GHTC Brandie Nonnecke, Shrestha Mohanty, Andrew Lee, Jonathan Lee, Sequoia Beckman, Justin Mi, Sanjay Krishnan, Rachel Edita Roxas, Nathaniel Oco, Camille Crittenden, Ken Goldberg
2017	J	`jnl`	Multi-Level Discovery of Deep Options. CoRR Roy Fox, Sanjay Krishnan, Ion Stoica, Ken Goldberg
2017	A*	`conf`	Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning. ICRA Brijen Thananjeyan, Animesh Garg, Sanjay Krishnan, Carolyn Chen, Lauren Miller, Ken Goldberg
2017	—	`conf`	PALM: Machine Learning Explanations For Iterative Debugging. HILDA@SIGMOD Sanjay Krishnan, Eugene Wu
2017	A	`conf`	RLEX: Saftey and Data Quality in Reinforcement Learning-based and Adaptive Systems. CIDR Sanjay Krishnan
2017	J	`jnl`	SPRK: A Low-Cost Stewart Platform For Motion Study In Surgical Robotics. CoRR Vatsal Patel, Sanjay Krishnan, Aimee Goncalves, Ken Goldberg
2017	—	`conf`	Statistical data cleaning for deep learning of automation tasks from demonstrations. CASE Caleb Chuck, Michael Laskey, Sanjay Krishnan, Ruta Joshi, Roy Fox, Ken Goldberg
2017	J	`jnl`	Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning. Int. J. Robotics Res. Sanjay Krishnan, Animesh Garg, Sachin Patil, Colin Lea, Gregory D. Hager, Pieter Abbeel, Ken Goldberg
2017	J	`jnl`	Using Intermittent Synchronization to Compensate for Rhythmic Body Motion During Autonomous Surgical Cutting and Debridement. CoRR Vatsal Patel, Sanjay Krishnan, Aimee Goncalves, Carolyn Chen, Walter Doug Boyd, Ken Goldberg
2016	J	`jnl`	A Data Quality Metric (DQM): How to Estimate The Number of Undetected Errors in Data Sets. CoRR Yeounoh Chung, Sanjay Krishnan, Tim Kraska
2016	—	`conf`	ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning. SIGMOD Conference Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Jiannan Wang, Eugene Wu
2016	J	`jnl`	ActiveClean: Interactive Data Cleaning For Statistical Modeling. Proc. VLDB Endow. Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg
2016	J	`jnl`	ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models. CoRR Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg
2016	J	`jnl`	Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations. CoRR Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin Jamieson, Anca D. Dragan, Kenneth Y. Goldberg
2016	—	`conf`	Data Cleaning: Overview and Emerging Challenges. SIGMOD Conference Xu Chu, Ihab F. Ilyas, Sanjay Krishnan, Jiannan Wang
2016	J	`jnl`	HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards. CoRR Sanjay Krishnan, Animesh Garg, Richard Liaw, Lauren Miller, Florian T. Pokorny, Ken Goldberg
2016	—	`conf`	PrivateClean: Data Cleaning and Differential Privacy. SIGMOD Conference Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska
2016	C	`conf`	SWIRL: A SequentialWindowed Inverse Reinforcement Learning Algorithm for Robot Tasks With Delayed Rewards. WAFR Sanjay Krishnan, Animesh Garg, Richard Liaw, Brijen Thananjeyan, Lauren Miller, Florian T. Pokorny, Ken Goldberg
2016	A*	`conf`	TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning. ICRA Adithyavairavan Murali, Animesh Garg, Sanjay Krishnan, Florian T. Pokorny, Pieter Abbeel, Trevor Darrell, Ken Goldberg
2016	—	`conf`	Towards reliable interactive data cleaning: a user survey and recommendations. HILDA@SIGMOD Sanjay Krishnan, Daniel Haas, Michael J. Franklin, Eugene Wu
2015	—	`conf`	A Case Study in Mobile-Optimized vs. Responsive Web Application Design. MobileHCI Adjunct Jay Patel, Gil Gershoni, Sanjay Krishnan, Matti Nelimarkka, Brandie Nonnecke, Ken Goldberg
2015	—	`conf`	DevCAFE 1.0: A participatory platform for assessing development initiatives in the field. GHTC Brandie Nonnecke, Sanjay Krishnan, Jay Patel, Mo Zhou, Laura Byaruhanga, Dorothy Masinde, Maria Elena Meneses, Alejandro Martin del Campo, Camille Crittenden, Kenneth Y. Goldberg
2015	Misc	`conf`	M-CAFE 1.0: Motivating and Prioritizing Ongoing Student Feedback During MOOCs and Large on-Campus Courses using Collaborative Filtering. SIGITE Mo Zhou, Alison Cliff, Sanjay Krishnan, Brandie Nonnecke, Camille Crittenden, Kanji Uchino, Ken Goldberg
2015	B	`conf`	M-CAFE: Managing MOOC Student Feedback with Collaborative Filtering. L@S Mo Zhou, Alison Cliff, Allen Huang, Sanjay Krishnan, Brandie Nonnecke, Kanji Uchino, Samuel Joseph, Armando Fox, Ken Goldberg
2015	J	`jnl`	SampleClean: Fast and Reliable Analytics on Dirty Data. IEEE Data Eng. Bull. Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo, Eugene Wu
2015	J	`jnl`	Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views. CoRR Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska
2015	J	`jnl`	Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views. Proc. VLDB Endow. Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska
2015	—	`conf`	Transition State Clustering: Unsupervised Surgical Trajectory Segmentation for Robot Learning. ISRR (2) Sanjay Krishnan, Animesh Garg, Sachin Patil, Colin Lea, Gregory D. Hager, Pieter Abbeel, Ken Goldberg
2015	J	`jnl`	Wisteria: Nurturing Scalable Data Cleaning Infrastructure. Proc. VLDB Endow. Daniel Haas, Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Eugene Wu
2014	J	`jnl`	A Partitioning Framework for Aggressive Data Skipping. Proc. VLDB Endow. Liwen Sun, Sanjay Krishnan, Reynold S. Xin, Michael J. Franklin
2014	A	`conf`	A methodology for learning, analyzing, and mitigating social influence bias in recommender systems. RecSys Sanjay Krishnan, Jay Patel, Michael J. Franklin, Ken Goldberg
2014	—	`conf`	A sample-and-clean framework for fast and accurate query processing on dirty data. SIGMOD Conference Jiannan Wang, Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo
2014	—	`conf`	Communication-Efficient Distributed Dual Coordinate Ascent. NIPS Martin Jaggi, Virginia Smith, Martin Takác, Jonathan Terhorst, Sanjay Krishnan, Thomas Hofmann, Michael I. Jordan
2014	J	`jnl`	Communication-Efficient Distributed Dual Coordinate Ascent. CoRR Martin Jaggi, Virginia Smith, Martin Takác, Jonathan Terhorst, Sanjay Krishnan, Thomas Hofmann, Michael I. Jordan
2014	—	`conf`	Fine-grained partitioning for aggressive data skipping. SIGMOD Conference Liwen Sun, Michael J. Franklin, Sanjay Krishnan, Reynold S. Xin
2014	—	`conf`	Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression. CASE Jeffrey Mahler, Sanjay Krishnan, Michael Laskey, Siddarth Sen, Adithyavairavan Murali, Ben Kehoe, Sachin Patil, Jiannan Wang, Mike Franklin, Pieter Abbeel, Kenneth Y. Goldberg