Amir Gilad

75 papers A* 5A 4B 3Journal 49Unranked 13
YearRankTypeTitle / Venue / Authors
2026 B conf
CoDeC: Constraints-Guided Diverse Counterfactuals.
EDBT
Avia Asael, Nave Frost, Amir Gilad, Daniel Deutch
2025 J jnl
Advancing causal inference in medicine using biobank data.
J. Biomed. Informatics
Hadasa Kaufman, Nadav Rappoport, Amir Gilad, Michal Linial
2025 J jnl
Analyzing Deviations from Monotonic Trends through Database Repair.
CoRR
Shunit Agmon, Jonathan Gal, Amir Gilad, Ester Livshits, Or Mutay, Brit Youngmann, Benny Kimelfeld
2025 — conf
CauSumX: Summarized Causal Explanations For Group-By-Average Queries.
SIGMOD Conference Companion
Nativ Levy, Michael J. Cafarella, Amir Gilad, Sudeepa Roy, Brit Youngmann
2025 J jnl
ClaimIt: Finding Convincing Views to Endorse a Claim.
Proc. VLDB Endow.
Shunit Agmon, David Avigdor, Brit Youngmann, Amir Gilad, Benny Kimelfeld
2025 J jnl
Computing Inconsistency Measures Under Differential Privacy.
CoRR
Shubhankar Mohapatra, Amir Gilad, Xi He, Benny Kimelfeld
2025 J jnl
Computing Inconsistency Measures Under Differential Privacy.
Proc. ACM Manag. Data
Shubhankar Mohapatra, Amir Gilad, Xi He, Benny Kimelfeld
2025 — conf
Demonstration of DPClustX: Differentially Private Explanations for Clusters.
SIGMOD Conference Companion
Amir Gilad, Tova Milo, Kathy Razmadze, Ron Zadicario
2025 J jnl
Differentially Private Explanations for Clusters.
CoRR
Amir Gilad, Tova Milo, Kathy Razmadze, Ron Zadicario
2025 J jnl
Differentially Private Explanations for Clusters.
Proc. ACM Manag. Data
Amir Gilad, Tova Milo, Kathy Razmadze, Ron Zadicario
2025 J jnl
Differentially private explanations for aggregate query answers.
VLDB J.
Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2025 — conf
Refining Labeling Functions with Limited Labeled Data.
KDD (2)
Chenjie Li, Amir Gilad, Boris Glavic, Zhengjie Miao, Sudeepa Roy
2025 J jnl
Refining Labeling Functions with Limited Labeled Data.
CoRR
Chenjie Li, Amir Gilad, Boris Glavic, Zhengjie Miao, Sudeepa Roy
2024 J jnl
Finding Convincing Views to Endorse a Claim.
CoRR
Shunit Agmon, Amir Gilad, Brit Youngmann, Shahar Zoarets, Benny Kimelfeld
2024 J jnl
Finding Convincing Views to Endorse a Claim.
Proc. VLDB Endow.
Shunit Agmon, Amir Gilad, Brit Youngmann, Shahar Zoarets, Benny Kimelfeld
2024 — conf
First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI).
SIGMOD Conference Companion
Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann
2024 A conf
How Database Theory Helps Teach Relational Queries in Database Education (Invited Talk).
ICDT
Sudeepa Roy, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Kristin Stephens-Martinez, Jun Yang
2024 J jnl
PD-Explain: A Unified Python-native Framework for Query Explanations Over DataFrames.
Proc. VLDB Endow.
Itay Elyashiv, Amir Gilad, Edna Isakov, Tal Tikochinsky, Amit Somech
2024 J jnl
Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries.
CoRR
Yihao Hu, Amir Gilad, Kristin Stephens-Martinez, Sudeepa Roy, Jun Yang
2024 J jnl
Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries.
Proc. ACM Manag. Data
Yihao Hu, Amir Gilad, Kristin Stephens-Martinez, Sudeepa Roy, Jun Yang
2024 J jnl
Summarized Causal Explanations For Aggregate Views (Full version).
CoRR
Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy
2024 J jnl
Summarized Causal Explanations For Aggregate Views.
Proc. ACM Manag. Data
Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy
2024 J jnl
The Cost of Representation by Subset Repairs.
CoRR
Yuxi Liu, Fangzhu Shen, Kushagra Ghosh, Amir Gilad, Benny Kimelfeld, Sudeepa Roy
2024 J jnl
The Cost of Representation by Subset Repairs.
Proc. VLDB Endow.
Yuxi Liu, Fangzhu Shen, Kushagra Ghosh, Amir Gilad, Benny Kimelfeld, Sudeepa Roy
2024 — conf
What Teaching Databases Taught Us about Researching Databases: Extended Talk Abstract.
DataEd@SIGMOD
Jun Yang, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Sudeepa Roy, Kristin Stephens-Martinez
2023 A* conf
Causal What-If and How-To Analysis Using HypeR.
ICDE
Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2023 — conf
Characterizing and Verifying Queries Via CINSGEN.
SIGMOD Conference Companion
Hanze Meng, Zhengjie Miao, Amir Gilad, Sudeepa Roy, Jun Yang
2023 J jnl
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms.
CoRR
Shweta Patwa, Danyu Sun, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2023 J jnl
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms.
Proc. VLDB Endow.
Shweta Patwa, Danyu Sun, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2023 J jnl
Explaining Differentially Private Query Results With DPXPlain.
Proc. VLDB Endow.
Tingyu Wang, Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2023 J jnl
PreFair: Privately Generating Justifiably Fair Synthetic Data.
Proc. VLDB Endow.
David Pujol, Amir Gilad, Ashwin Machanavajjhala
2023 A conf
The Consistency of Probabilistic Databases with Independent Cells.
ICDT
Amir Gilad, Aviram Imber, Benny Kimelfeld
2022 J jnl
DPXPlain: Privately Explaining Aggregate Query Answers.
CoRR
Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2022 J jnl
DPXPlain: Privately Explaining Aggregate Query Answers.
Proc. VLDB Endow.
Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2022 J jnl
FEDEX: An Explainability Framework for Data Exploration Steps.
CoRR
Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech
2022 J jnl
FEDEX: An Explainability Framework for Data Exploration Steps.
Proc. VLDB Endow.
Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech
2022 — conf
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach.
SIGMOD Conference
Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2022 J jnl
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach.
CoRR
Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2022 J jnl
PreFair: Privately Generating Justifiably Fair Synthetic Data.
CoRR
David Pujol, Amir Gilad, Ashwin Machanavajjhala
2022 J jnl
The Consistency of Probabilistic Databases with Independent Cells.
CoRR
Amir Gilad, Aviram Imber, Benny Kimelfeld
2022 — conf
Understanding Queries by Conditional Instances.
SIGMOD Conference
Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang
2022 J jnl
Understanding Queries by Conditional Instances.
CoRR
Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang
2021 J jnl
Detecting Treatment Effect Modifiers in Social Networks.
CoRR
Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy
2021 A conf
Explanations for Data Repair Through Shapley Values.
CIKM
Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
2021 — conf
On Optimizing the Trade-off between Privacy and Utility in Data Provenance.
SIGMOD Conference
Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
2021 J jnl
On Optimizing the Trade-off between Privacy and Utility in Data Provenance.
CoRR
Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
2021 A* conf
PITA: Privacy Through Provenance Abstraction.
ICDE
Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
2021 — conf
Synthesizing Linked Data Under Cardinality and Integrity Constraints.
SIGMOD Conference
Amir Gilad, Shweta Patwa, Ashwin Machanavajjhala
2021 J jnl
Synthesizing Linked Data Under Cardinality and Integrity Constraints.
CoRR
Amir Gilad, Shweta Patwa, Ashwin Machanavajjhala
2020 — —
Data Provenance for Non-Experts
Amir Gilad
2020 J jnl
ExplainED: Explanations for EDA Notebooks.
Proc. VLDB Endow.
Daniel Deutch, Amir Gilad, Tova Milo, Amit Somech
2020 B conf
Explaining Missing Query Results in Natural Language.
EDBT
Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich
2020 J jnl
Explaining Natural Language Query Results.
CoRR
Daniel Deutch, Nave Frost, Amir Gilad
2020 J jnl
Explaining Natural Language query results.
VLDB J.
Daniel Deutch, Nave Frost, Amir Gilad
2020 J jnl
MuSe: Multiple Deletion Semantics for Data Repair.
Proc. VLDB Endow.
Amir Gilad, Yihao Hu, Daniel Deutch, Sudeepa Roy
2020 — conf
On Multiple Semantics for Declarative Database Repairs.
SIGMOD Conference
Amir Gilad, Daniel Deutch, Sudeepa Roy
2020 J jnl
On Multiple Semantics for Declarative Database Repairs.
CoRR
Amir Gilad, Daniel Deutch, Sudeepa Roy
2020 — conf
T-REx: Table Repair Explanations.
SIGMOD Conference
Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
2020 J jnl
T-REx: Table Repair Explanations.
CoRR
Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
2020 A conf
Towards Inferring Queries from Simple and Partial Provenance Examples.
CIKM
Amir Gilad, Yuval Moskovitch
2020 J jnl
Towards Inferring Queries from Simple and Partial Provenance Examples.
CoRR
Amir Gilad, Yuval Moskovitch
2019 B conf
Reverse-Engineering Conjunctive Queries from Provenance Examples.
EDBT
Daniel Deutch, Amir Gilad
2018 J jnl
Efficient provenance tracking for datalog using top-k queries.
VLDB J.
Daniel Deutch, Amir Gilad, Yuval Moskovitch
2018 A* conf
Interactive Inference of SPARQL Queries Using Provenance.
ICDE
Efrat Abramovitz, Daniel Deutch, Amir Gilad
2018 J jnl
NLProveNAns: Natural Language Provenance for Non-Answers.
Proc. VLDB Endow.
Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich
2018 J jnl
Natural Language Explanations for Query Results.
SIGMOD Rec.
Daniel Deutch, Nave Frost, Amir Gilad
2018 J jnl
Provenance for Non-Experts.
IEEE Data Eng. Bull.
Daniel Deutch, Nave Frost, Amir Gilad
2018 J jnl
QuestPro: Queries in SPARQL Through Provenance.
Proc. VLDB Endow.
Efrat Abramovitz, Daniel Deutch, Amir Gilad
2017 J jnl
Provenance for Natural Language Queries.
Proc. VLDB Endow.
Daniel Deutch, Nave Frost, Amir Gilad
2016 J jnl
Learning Queries from Examples and Their Explanations.
CoRR
Daniel Deutch, Amir Gilad
2016 J jnl
NLProv: Natural Language Provenance.
Proc. VLDB Endow.
Daniel Deutch, Nave Frost, Amir Gilad
2016 A* conf
QPlain: Query by explanation.
ICDE
Daniel Deutch, Amir Gilad
2015 J jnl
Selective Provenance for Datalog Programs Using Top-K Queries.
Proc. VLDB Endow.
Daniel Deutch, Amir Gilad, Yuval Moskovitch
2015 — conf
Towards web-scale how-provenance.
ICDE Workshops
Daniel Deutch, Amir Gilad, Yuval Moskovitch
2015 A* conf
selP: Selective tracking and presentation of data provenance.
ICDE
Daniel Deutch, Amir Gilad, Yuval Moskovitch