Concepedia

Michal Moshkovitz

MM

5

Publications

78

Citations

5

H-Index

2017

Active since

Affiliations

University of California San Diego(Current)

Tel Aviv University

Hebrew University of Jerusalem

The University of Texas at Austin

Michal Moshkovitz is an author at University of California San Diego specializing in engineering, machine learning, and knowledge discovery.

Top concepts

EngineeringData ScienceComputer ScienceMachine LearningKnowledge DiscoveryData MiningProbabilityExplainable AiAutomated ReasoningPattern Recognition

Publications per year

2017–2022

5

Publications

5

Explainable $k$-Means and $k$-Medians Clustering

Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz et al. · arXiv (Cornell University) · 2020 · 20 citations · Full text

Cluster Computing, Engineering, Machine Learning +16

Mixing Implies Lower Bounds for Space Bounded Learning.

Dana Moshkovitz, Michal Moshkovitz · Conference on Learning Theory · 2017 · 16 citations

Engineering, Machine Learning, Computational Learning Theory +4

Entropy Samplers and Strong Generic Lower Bounds For Space Bounded Learning

Dana Moshkovitz, Michal Moshkovitz · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2018 · 14 citations · Full text

Entropy Samplers, Engineering, Machine Learning +23

ExKMC: Expanding Explainable $k$-Means Clustering

Nave Frost, Michal Moshkovitz, Cyrus Rashtchian · arXiv (Cornell University) · 2020 · 14 citations · Full text

Artificial Intelligence, Document Clustering, Clustering (Nuclear Physics) +14

Framework for Evaluating Faithfulness of Local Explanations

Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz · arXiv (Cornell University) · 2022 · 14 citations · Full text

Artificial Intelligence, Engineering, Verification +21

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