SK
Sanjay Krishnan
cs.DBcs.LGcs.ROcs.CVstat.MLcs.AIcs.NIcs.CRcs.HCcs.SY
On Valency
published · living versionsW_pdnqtuth·v1 · currentpublished
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models
with Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg
1 version
Preprints & journals
49 papers in the corpus · 2014–2026Proof-of-Retention: A Framework for Auditable Cross-Organization Data Sharing2609.26654v1 · Kyle MacMillan, Sanjay Krishnan2026 · 0 citationsarXiv
Using Intermittent Synchronization to Compensate for Rhythmic Body Motion During Autonomous Surgical Cutting and Debridement1712.02917v1 · Vatsal Patel, Sanjay Krishnan, Aimee Goncalves et al.2017 · 12 citationsarXiv
SPRK: A Low-Cost Stewart Platform For Motion Study In Surgical Robotics1712.02923v1 · Vatsal Patel, Sanjay Krishnan, Aimee Goncalves et al.2017 · 25 citationsarXiv
Sociome Data Commons: A scalable and sustainable platform for investigating the full social context and determinants of health.38229897 · Tilmon, Sandra, Nyenhuis, Sharmilee, Solomonides, Anthony et al.2026 · 10 citationsJournal of clinical and translational science. 2023;7(1):e255
Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams2503.05675v2 · Ted Shaowang, Shinan Liu, Jonatas Marques et al.2025 · 0 citationsarXiv
Range (R\'enyi) Entropy Queries and Partitioning2312.15959v5 · Aryan Esmailpour, Sanjay Krishnan, Stavros Sintos2023 · 0 citationsLogical Methods in Computer Science, Volume 21, Issue 4 (October 30, 2025) lmcs:14866
Metadata Management for AI-Augmented Data Workflows2508.06814v1 · Jinjin Zhao, Sanjay Krishnan2025 · 0 citationsarXiv
Fast Capture of Cell-Level Provenance in Numpy2506.18255v1 · Jinjin Zhao, Sanjay Krishnan2025 · 0 citationsarXiv
DePLOI: Applying NL2SQL to Synthesize and Audit Database Access Control2402.07332v4 · Pranav Subramaniam, Sanjay Krishnan2024 · 4 citationsarXiv
Natural scenes are more compressible and less memorable than human-made scenesxw3ek_v1 · Nakwon Rim, John Veillette, Sunny Lee et al.2025 · 1 citationPsyArXiv
DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning2306.01268v2 · Edward C. Williams, Grace Su, Sandra R. Schloen et al.2023 · 7 citationsarXiv
A Simple and Fast Way to Handle Semantic Errors in Transactions2412.12493v1 · Jinghan Zeng, Eugene Wu, Sanjay Krishnan2024 · 0 citationsarXiv
ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis2402.03694v2 · Shinan Liu, Ted Shaowang, Gerry Wan et al.2024 · 1 citationarXiv
Towards Causal Physical Error Discovery in Video Analytics Systems2405.17686v1 · Jinjin Zhao, Ted Shaowang, Stavos Sintos et al.2024 · 1 citationarXiv
Data Makes Better Data Scientists2405.17690v1 · Jinjin Zhao, Avidgor Gal, Sanjay Krishnan2024 · 2 citationsarXiv
Compression and In-Situ Query Processing for Fine-Grained Array Lineage2405.17701v1 · Jinjin Zhao, Sanjay Krishnan2024 · 0 citationsarXiv
A System for Quantifying Data Science Workflows with Fine-Grained Procedural Logging and a Pilot Study2405.17845v1 · Jinjin Zhao, Avidgor Gal, Sanjay Krishnan2024 · 0 citationsarXiv
Erratum: Sociome Data Commons: A scalable and sustainable platform for investigating the full social context and determinants of health - ERRATUM.38745878 · Tilmon, Sandra, Nyenhuis, Sharmilee, Solomonides, Anthony et al.2024 · 0 citationsJournal of clinical and translational science. 2024;8(1):e82
EdgeServe: A Streaming System for Decentralized Model Serving2303.08028v3 · Ted Shaowang, Sanjay Krishnan2023 · 0 citationsarXiv
Quantifying Uncertainty in Aggregate Queries over Integrated Datasets2309.05178v1 · Deniz Turkcapar, Sanjay Krishnan2023 · 0 citationsarXiv
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow2305.03842v1 · Siyuan Xia, Zhiru Zhu, Chris Zhu et al.2023 · 0 citationsarXiv
JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing2204.09235v2 · Xi Liang, Stavros Sintos, Sanjay Krishnan2022 · 3 citationsarXiv
VizExtract: Automatic Relation Extraction from Data Visualizations2112.03485v1 · Dale Decatur, Sanjay Krishnan2021 · 1 citationarXiv
Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning2002.02885v4 · Rui Liu, Sanjay Krishnan, Aaron J. Elmore et al.2020 · 10 citationsarXiv
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing2103.15994v1 · Xi Liang, Stavros Sintos, Zechao Shang et al.2021 · 28 citationsarXiv
CIAO: An Optimization Framework for Client-Assisted Data Loading2102.11793v1 · Cong Ding, Dixin Tang, Xi Liang et al.2021 · 3 citationsarXiv
The Data Station: Combining Data, Compute, and Market Forces2009.00035v1 · Raul Castro Fernandez, Kyle Chard, Ben Blaiszik et al.2020 · 2 citationsarXiv
Analysis of Random Perturbations for Robust Convolutional Neural Networks2002.03080v4 · Adam Dziedzic, Sanjay Krishnan2020 · 1 citationarXiv
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints2004.04139v1 · Xi Liang, Zechao Shang, Aaron J. Elmore et al.2020 · 9 citationsarXiv
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios2003.13652v1 · Adam Dziedzic, Vanlin Sathya, Muhammad Iqbal Rochman et al.2020 · 21 citationsarXiv
Deep Unsupervised Cardinality Estimation1905.04278v2 · Zongheng Yang, Eric Liang, Amog Kamsetty et al.2019 · 208 citationsProceedings of the VLDB Endowment (PLVDB), Vol. 13, No. 3, pp. 279-292 (2019)
Band-limited Training and Inference for Convolutional Neural Networks1911.09287v1 · Adam Dziedzic, John Paparrizos, Sanjay Krishnan et al.2019 · 21 citationsarXiv
Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT1911.09292v1 · Vanlin Sathya, Adam Dziedzic, Monisha Ghosh et al.2019 · 6 citationsarXiv
AlphaClean: Automatic Generation of Data Cleaning Pipelines1904.11827v2 · Sanjay Krishnan, Eugene Wu2019 · 33 citationsarXiv
Opportunistic View Materialization with Deep Reinforcement Learning1903.01363v1 · Xi Liang, Aaron J. Elmore, Sanjay Krishnan2019 · 22 citationsarXiv
Learning to Optimize Join Queries With Deep Reinforcement Learning1808.03196v2 · Sanjay Krishnan, Zongheng Yang, Ken Goldberg et al.2018 · 85 citationsarXiv
DeepLens: Towards a Visual Data Management System1812.07607v1 · Sanjay Krishnan, Adam Dziedzic, Aaron J. Elmore2018 · 11 citationsarXiv
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models1811.07489v1 · Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan et al.2018 · 15 citationsarXiv
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure1709.06668v2 · Daniel Seita, Sanjay Krishnan, Roy Fox et al.2017 · 78 citationsarXiv
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations1710.05421v2 · Sanjay Krishnan, Roy Fox, Ion Stoica et al.2017 · 56 citations1st Conference on Robot Learning (CoRL 2017)
BoostClean: Automated Error Detection and Repair for Machine Learning1711.01299v1 · Sanjay Krishnan, Michael J. Franklin, Ken Goldberg et al.2017 · 57 citationsarXiv
Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning1711.01503v1 · Richard Liaw, Sanjay Krishnan, Animesh Garg et al.2017 · 17 citationsarXiv
Multi-Level Discovery of Deep Options1703.08294v2 · Roy Fox, Sanjay Krishnan, Ion Stoica et al.2017 · 65 citationsarXiv
A Data Quality Metric (DQM): How to Estimate The Number of Undetected Errors in Data Sets1611.04878v3 · Yeounoh Chung, Sanjay Krishnan, Tim Kraska2016 · 4 citationsarXiv
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations1610.00850v3 · Michael Laskey, Caleb Chuck, Jonathan Lee et al.2016 · 59 citationsarXiv
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards1604.06508v1 · Sanjay Krishnan, Animesh Garg, Richard Liaw et al.2016 · 27 citationsarXiv
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models1601.03797v1 · Sanjay Krishnan, Jiannan Wang, Eugene Wu et al.2016 · 23 citationsarXivon Valency
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views1509.07454v1 · Sanjay Krishnan, Jiannan Wang, Michael J. Franklin et al.2015 · 21 citationsProceedings of the VLDB Endowment - Proceedings of the 41st International Conference on Very Large Data Bases, Kohala Coast, Hawaii Volume 8 Issue 12, August 2015 Pages 1370-1381
Communication-Efficient Distributed Dual Coordinate Ascent1409.1458v2 · Martin Jaggi, Virginia Smith, Martin Tak'ac et al.2014 · 192 citationsarXiv
Career total: 128 works. 49 are in this corpus.
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