Amir Gilad

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Natural Language

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Yihao Hu, Amir Gilad, Kristin Stephens-Martinez, Sudeepa Roy, Jun Yang
Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries. Proc. ACM Manag. Data 2 (3) (2024)
Jun Yang, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Sudeepa Roy, Kristin Stephens-Martinez
What Teaching Databases Taught Us about Researching Databases: Extended Talk Abstract. DataEd@SIGMOD (2024)
Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann
First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI). SIGMOD Conference Companion (2024)
Sudeepa Roy, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Kristin Stephens-Martinez, Jun Yang
How Database Theory Helps Teach Relational Queries in Database Education (Invited Talk). ICDT (2024)
Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy
Summarized Causal Explanations For Aggregate Views. Proc. ACM Manag. Data 2 (1) (2024)
Yihao Hu, Amir Gilad, Kristin Stephens-Martinez, Sudeepa Roy, Jun Yang
Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries. CoRR (2024)
Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
Causal What-If and How-To Analysis Using HypeR. ICDE (2023)
Shweta Patwa, Danyu Sun, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms. Proc. VLDB Endow. 17 (1) (2023)
Tingyu Wang, Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
Explaining Differentially Private Query Results With DPXPlain. Proc. VLDB Endow. 16 (12) (2023)
Shweta Patwa, Danyu Sun, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms. CoRR (2023)
Hanze Meng, Zhengjie Miao, Amir Gilad, Sudeepa Roy, Jun Yang
Characterizing and Verifying Queries Via CINSGEN. SIGMOD Conference Companion (2023)
Amir Gilad, Aviram Imber, Benny Kimelfeld
The Consistency of Probabilistic Databases with Independent Cells. ICDT (2023)
David Pujol, Amir Gilad, Ashwin Machanavajjhala
PreFair: Privately Generating Justifiably Fair Synthetic Data. Proc. VLDB Endow. 16 (6) (2023)
Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. CoRR (2022)
Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
DPXPlain: Privately Explaining Aggregate Query Answers. Proc. VLDB Endow. 16 (1) (2022)
Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang
Understanding Queries by Conditional Instances. SIGMOD Conference (2022)
Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech
FEDEX: An Explainability Framework for Data Exploration Steps. CoRR (2022)
Amir Gilad, Aviram Imber, Benny Kimelfeld
The Consistency of Probabilistic Databases with Independent Cells. CoRR (2022)
Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech
FEDEX: An Explainability Framework for Data Exploration Steps. Proc. VLDB Endow. 15 (13) (2022)
Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang
Understanding Queries by Conditional Instances. CoRR (2022)
David Pujol, Amir Gilad, Ashwin Machanavajjhala
PreFair: Privately Generating Justifiably Fair Synthetic Data. CoRR (2022)
Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. SIGMOD Conference (2022)
Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
DPXPlain: Privately Explaining Aggregate Query Answers. CoRR (2022)
Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
PITA: Privacy Through Provenance Abstraction. ICDE (2021)
Amir Gilad, Shweta Patwa, Ashwin Machanavajjhala
Synthesizing Linked Data Under Cardinality and Integrity Constraints. CoRR (2021)
Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy
Detecting Treatment Effect Modifiers in Social Networks. CoRR (2021)
Amir Gilad, Shweta Patwa, Ashwin Machanavajjhala
Synthesizing Linked Data Under Cardinality and Integrity Constraints. SIGMOD Conference (2021)
Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
Explanations for Data Repair Through Shapley Values. CIKM (2021)
Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
On Optimizing the Trade-off between Privacy and Utility in Data Provenance. SIGMOD Conference (2021)
Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
On Optimizing the Trade-off between Privacy and Utility in Data Provenance. CoRR (2021)
Amir Gilad, Yuval Moskovitch
Towards Inferring Queries from Simple and Partial Provenance Examples. CoRR (2020)
Daniel Deutch, Nave Frost, Amir Gilad
Explaining Natural Language Query Results. CoRR (2020)
Amir Gilad, Daniel Deutch, Sudeepa Roy
On Multiple Semantics for Declarative Database Repairs. CoRR (2020)
Daniel Deutch, Nave Frost, Amir Gilad
Explaining Natural Language query results. VLDB J. 29 (1) (2020)
Amir Gilad, Yihao Hu, Daniel Deutch, Sudeepa Roy
MuSe: Multiple Deletion Semantics for Data Repair. Proc. VLDB Endow. 13 (12) (2020)
Daniel Deutch, Amir Gilad, Tova Milo, Amit Somech
ExplainED: Explanations for EDA Notebooks. Proc. VLDB Endow. 13 (12) (2020)
Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich
Explaining Missing Query Results in Natural Language. EDBT (2020)
Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
T-REx: Table Repair Explanations. SIGMOD Conference (2020)
Amir Gilad, Daniel Deutch, Sudeepa Roy
On Multiple Semantics for Declarative Database Repairs. SIGMOD Conference (2020)
Amir Gilad, Yuval Moskovitch
Towards Inferring Queries from Simple and Partial Provenance Examples. CIKM (2020)
Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
T-REx: Table Repair Explanations. CoRR (2020)
Daniel Deutch, Amir Gilad
Reverse-Engineering Conjunctive Queries from Provenance Examples. EDBT (2019)
Daniel Deutch, Amir Gilad, Yuval Moskovitch
Efficient provenance tracking for datalog using top-k queries. VLDB J. 27 (2) (2018)
Efrat Abramovitz, Daniel Deutch, Amir Gilad
Interactive Inference of SPARQL Queries Using Provenance. ICDE (2018)
Daniel Deutch, Nave Frost, Amir Gilad
Natural Language Explanations for Query Results. SIGMOD Rec. 47 (1) (2018)
Daniel Deutch, Nave Frost, Amir Gilad
Provenance for Non-Experts. IEEE Data Eng. Bull. 41 (1) (2018)
Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich
NLProveNAns: Natural Language Provenance for Non-Answers. Proc. VLDB Endow. 11 (12) (2018)
Efrat Abramovitz, Daniel Deutch, Amir Gilad
QuestPro: Queries in SPARQL Through Provenance. Proc. VLDB Endow. 11 (12) (2018)
Daniel Deutch, Nave Frost, Amir Gilad
Provenance for Natural Language Queries. Proc. VLDB Endow. 10 (5) (2017)
Daniel Deutch, Amir Gilad
Learning Queries from Examples and Their Explanations. CoRR (2016)
Daniel Deutch, Nave Frost, Amir Gilad
NLProv: Natural Language Provenance. Proc. VLDB Endow. 9 (13) (2016)
Daniel Deutch, Amir Gilad
QPlain: Query by explanation. ICDE (2016)
Daniel Deutch, Amir Gilad, Yuval Moskovitch
Towards web-scale how-provenance. ICDE Workshops (2015)
Daniel Deutch, Amir Gilad, Yuval Moskovitch
selP: Selective tracking and presentation of data provenance. ICDE (2015)
Daniel Deutch, Amir Gilad, Yuval Moskovitch
Selective Provenance for Datalog Programs Using Top-K Queries. Proc. VLDB Endow. 8 (12) (2015)