Daniel Deutch

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 70

Top Venues

Publications

Aviv Ben-Arie, Daniel Deutch, Nave Frost, Yair Horesh, Idan Meyuhas
Optimizing Counterfactual-based Analysis of Machine Learning Models Through Databases. EDBT (2024)
Omer Abramovich, Daniel Deutch, Nave Frost, Ahmet Kara, Dan Olteanu
Banzhaf Values for Facts in Query Answering. Proc. ACM Manag. Data 2 (3) (2024)
Dana Arad, Daniel Deutch, Nave Frost
Predicting Fact Contributions from Query Logs with Machine Learning. EDBT (2024)
Omer Abramovich, Daniel Deutch, Nave Frost, Ahmet Kara, Dan Olteanu
Banzhaf Values for Facts in Query Answering. CoRR (2023)
Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant
Answering Questions by Meta-Reasoning over Multiple Chains of Thought. CoRR (2023)
Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant
Answering Questions by Meta-Reasoning over Multiple Chains of Thought. EMNLP (2023)
Tomer Wolfson, Daniel Deutch, Jonathan Berant
Weakly Supervised Text-to-SQL Parsing through Question Decomposition. NAACL-HLT (Findings) (2022)
Susan B. Davidson, Daniel Deutch, Nave Frost, Benny Kimelfeld, Omer Koren, Mikaël Monet
ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values. SIGMOD Conference (2022)
Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech
FEDEX: An Explainability Framework for Data Exploration Steps. CoRR (2022)
Idan Meyuhas, Aviv Ben-Arie, Yair Horesh, Daniel Deutch
CFDB: Machine Learning Model Analysis via Databases of CounterFactuals. SIGMOD Conference (2022)
Daniel Deutch, Nave Frost, Benny Kimelfeld, Mikaël Monet
Computing the Shapley Value of Facts in Query Answering. SIGMOD Conference (2022)
Daniel Deutch, Tanu Malik, Adriane Chapman
Theory and Practice of Provenance. SIGMOD Conference (2022)
Amit Bergman, Viviane Slon, Daniel Deutch
exML: An Explainable Maximum Likelihood Tool for Proportion Estimation in DNA Data. CIKM (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)
Dana Arad, Daniel Deutch, Nave Frost
LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs. CIKM (2022)
Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
PITA: Privacy Through Provenance Abstraction. ICDE (2021)
Tomer Wolfson, Jonathan Berant, Daniel Deutch
Weakly Supervised Mapping of Natural Language to SQL through Question Decomposition. CoRR (2021)
Daniel Deutch, Nave Frost, Benny Kimelfeld, Mikaël Monet
Computing the Shapley Value of Facts in Query Answering. CoRR (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)
Daniel Deutch, Nave Frost, Amir Gilad
Explaining Natural Language Query Results. CoRR (2020)
Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries. CoRR (2020)
Nave Frost, Naama Boer, Daniel Deutch, Tova Milo
Personal Insights for Altering Decisions of Tree-based Ensembles over Time. Proc. VLDB Endow. 13 (6) (2020)
Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries. SIGMOD Conference (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, Yuval Moskovitch, Noam Rinetzky
COBRA: Compression via Abstraction of Provenance for Hypothetical Reasoning. CoRR (2020)
Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
Just in Time: Personal Temporal Insights for Altering Model Decisions. CoRR (2020)
Tomer Wolfson, Mor Geva, Ankit Gupta, Yoav Goldberg, Matt Gardner, Daniel Deutch, Jonathan Berant
Break It Down: A Question Understanding Benchmark. Trans. Assoc. Comput. Linguistics 8 (2020)
Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant
Break It Down: A Question Understanding Benchmark. CoRR (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)
Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
Hypothetical Reasoning via Provenance Abstraction. CoRR (2020)
Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
T-REx: Table Repair Explanations. CoRR (2020)
Antoine Amarilli, Mouhamadou Lamine Ba, Daniel Deutch, Pierre Senellart
Computing possible and certain answers over order-incomplete data. Theor. Comput. Sci. 797 (2019)
Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson
Explaining Queries Over Web Tables to Non-experts. ICDE (2019)
Daniel Deutch, Nave Frost
Constraints-Based Explanations of Classifications. ICDE (2019)
Daniel Deutch, Amir Gilad
Reverse-Engineering Conjunctive Queries from Provenance Examples. EDBT (2019)
Daniel Deutch, Evgeny Marants, Yuval Moskovitch
Datalignment: Ontology Schema Alignment Through Datalog Containment. Proc. VLDB Endow. 12 (12) (2019)
Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
Hypothetical Reasoning via Provenance Abstraction. SIGMOD Conference (2019)
Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
COBRA: Compression Via Abstraction of Provenance for Hypothetical Reasoning. ICDE (2019)
Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
Just in Time: Personal Temporal Insights for Altering Model Decisions. ICDE (2019)
Yinjun Wu, Abdussalam Alawini, Daniel Deutch, Tova Milo, Susan B. Davidson
ProvCite: Provenance-based Data Citation. Proc. VLDB Endow. 12 (7) (2019)
Daniel Deutch, Amir Gilad, Yuval Moskovitch
Efficient provenance tracking for datalog using top-k queries. VLDB J. 27 (2) (2018)
Daniel Deutch, Yehonatan Ginzberg, Tova Milo
Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX. CIKM (2018)
Efrat Abramovitz, Daniel Deutch, Amir Gilad
Interactive Inference of SPARQL Queries Using Provenance. ICDE (2018)
Daniel Deutch, Nave Frost
CEC: Constraints based Explanation for Classifications. CIKM (2018)
Daniel Deutch, Nave Frost, Amir Gilad
Natural Language Explanations for Query Results. SIGMOD Rec. 47 (1) (2018)
Daniel Deutch, Yuval Moskovitch, Itay Polak, Noam Rinetzky
Towards Hypothetical Reasoning Using Distributed Provenance. EDBT (2018)
Daniel Deutch, Nave Frost, Amir Gilad
Provenance for Non-Experts. IEEE Data Eng. Bull. 41 (1) (2018)
Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson
Explaining Queries over Web Tables to Non-Experts. CoRR (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)
Antoine Amarilli, Mouhamadou Lamine Ba, Daniel Deutch, Pierre Senellart
Computing Possible and Certain Answers over Order-Incomplete Data. CoRR (2018)
Antoine Amarilli, Mouhamadou Lamine Ba, Daniel Deutch, Pierre Senellart
Possible and Certain Answers for Queries over Order-Incomplete Data. CoRR (2017)
Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
POLYTICS: Provenance-Based Analytics of Data-Centric Applications. ICDE (2017)
Susan B. Davidson, Daniel Deutch, Tova Milo, Gianmaria Silvello
A Model for Fine-Grained Data Citation. CIDR (2017)
Daniel Deutch, Nave Frost, Amir Gilad
Provenance for Natural Language Queries. Proc. VLDB Endow. 10 (5) (2017)
Antoine Amarilli, Mouhamadou Lamine Ba, Daniel Deutch, Pierre Senellart
Possible and Certain Answers for Queries over Order-Incomplete Data. TIME (2017)
Susan B. Davidson, Daniel Deutch, Tova Milo, Gianmaria Silvello
A Model for Fine-Grained Data Citation. SEBD (2017)
Susan B. Davidson, Peter Buneman, Daniel Deutch, Tova Milo, Gianmaria Silvello
Data Citation: A Computational Challenge. PODS (2017)
Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
Analyzing data-centric applications: Why, what-if, and how-to. ICDE (2016)
Eleanor Ainy, Pierre Bourhis, Susan B. Davidson, Daniel Deutch, Tova Milo
PROX: Approximated Summarization of Data Provenance. EDBT (2016)
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)
Eleanor Ainy, Pierre Bourhis, Susan B. Davidson, Daniel Deutch, Tova Milo
Approximated Summarization of Data Provenance. CIKM (2015)
Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo, Pierre Senellart
Optimal Probabilistic Generation of XML Documents. Theory Comput. Syst. 57 (4) (2015)
Daniel Deutch, Amir Gilad, Yuval Moskovitch
selP: Selective tracking and presentation of data provenance. ICDE (2015)
Daniel Deutch, Yuval Moskovitch, Val Tannen
Provenance-based analysis of data-centric processes. VLDB J. 24 (4) (2015)
Daniel Deutch, Amir Gilad, Yuval Moskovitch
Selective Provenance for Datalog Programs Using Top-K Queries. Proc. VLDB Endow. 8 (12) (2015)
Daniel Deutch, Tova Milo, Sudeepa Roy, Val Tannen
Circuits for Datalog Provenance. ICDT (2014)
Eleanor Ainy, Susan B. Davidson, Daniel Deutch, Tova Milo
Approximated Provenance for Complex Applications. TAPP (2014)
Daniel Deutch, Yuval Moskovitch, Val Tannen
A Provenance Framework for Data-Dependent Process Analysis. Proc. VLDB Endow. 7 (6) (2014)
Serge Abiteboul, Daniel Deutch, Victor Vianu
Deduction with Contradictions in Datalog. ICDT (2014)
Daniel Deutch, Yuval Moskovitch, Val Tannen
PROPOLIS: Provisioned Analysis of Data-Centric Processes. Proc. VLDB Endow. 6 (12) (2013)
Daniel Deutch, Tova Milo, Neoklis Polyzotis
Top-k queries over web applications. VLDB J. 22 (4) (2013)
Daniel Deutch
Querying Probabilistic Business Processes for Sub-Flows. Theory Comput. Syst. 52 (3) (2013)
Daniel Deutch, Zachary G. Ives, Tova Milo, Val Tannen
Caravan: Provisioning for What-If Analysis. CIDR (2013)
Daniel Deutch, Ohad Greenshpan, Boris Kostenko, Tova Milo
Declarative platform for data sourcing games. WWW (2012)
Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo, Pierre Senellart
Finding optimal probabilistic generators for XML collections. ICDT (2012)
Daniel Deutch, Tova Milo
Mob data sourcing. SIGMOD Conference (2012)
Serge Abiteboul, Meghyn Bienvenu, Daniel Deutch
Deduction in the Presence of Distribution and Contradictions. WebDB (2012)
Meghyn Bienvenu, Daniel Deutch, Fabian M. Suchanek
Provenance for Web 2.0 Data. Secure Data Management (2012)
Yael Amsterdamer, Susan B. Davidson, Daniel Deutch, Tova Milo, Julia Stoyanovich, Val Tannen
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance CoRR (2012)
Meghyn Bienvenu, Daniel Deutch, Davide Martinenghi, Pierre Senellart, Fabian M. Suchanek
Dealing with the Deep Web and all its Quirks. VLDS (2012)
Yael Amsterdamer, Daniel Deutch, Tova Milo, Val Tannen
On Provenance Minimization. ACM Trans. Database Syst. 37 (4) (2012)
Daniel Deutch, Tova Milo
A structural/temporal query language for Business Processes. J. Comput. Syst. Sci. 78 (2) (2012)
Daniel Deutch, Tova Milo
Type inference and type checking for queries over execution traces. VLDB J. 21 (1) (2012)
Yael Amsterdamer, Daniel Deutch, Tova Milo
On the optimality of top-k algorithms for Interactive Web Applications. WebDB (2011)
Yael Amsterdamer, Susan B. Davidson, Daniel Deutch, Tova Milo, Julia Stoyanovich, Val Tannen
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance. Proc. VLDB Endow. 5 (4) (2011)
Yael Amsterdamer, Daniel Deutch, Tova Milo, Val Tannen
On provenance minimization. PODS (2011)
Yael Amsterdamer, Daniel Deutch, Val Tannen
On the Limitations of Provenance for Queries with Difference. TaPP (2011)
Daniel Deutch, Tova Milo
A quest for beauty and wealth (or, business processes for database researchers). PODS (2011)
Yael Amsterdamer, Daniel Deutch, Val Tannen
Provenance for aggregate queries. PODS (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniel Deutch