Daniel Lehmann is affiliated with the Hebrew University of Jerusalem in Israel. Their research primarily focuses on Computer Science, with significant contributions in several subfields including Artificial Intelligence, Geometry and Topology, Electrical and Electronic Engineering, Materials Chemistry, and Economics and Econometrics.
Their work addresses various main topics such as Adversarial Robustness in Machine Learning, Mathematics and Applications, Geometric Analysis and Curvature Flows, Economic Theories and Models, Game Theory and Voting Systems, Anomaly Detection Techniques and Applications, and Quantum Mechanics and Applications.
Daniel Lehmann has published research in a range of scientific venues. Frequent publication outlets include:
Their recent papers showcase diverse research interests and include the following publications:
The scientist collaborates frequently with various co-authors. The most frequent collaborators include:
Sarit Kraus;Daniel Lehmann;Menachem Magidor
Daniel Lehmann;Menachem Magidor
Daniel Lehmann;Liadan Ita Oćallaghan;Yoav Shoham
Benny Lehmann;Daniel J. Lehmann;Noam Nisan
Lucas Davi;Ahmad-Reza Sadeghi;Daniel Lehmann;Fabian Monrose
Daniel J. Lehmann;Amir Pnueli;Jonathan Stavi
Daniel J. Lehmann
Daniel Lehmann;Liaden Ita O'Callaghan;Yoav Shoham
Daniel Lehmann;Michael O. Rabin
Dan Gang;Daniel Lehmann
Daniel Lehmann
D. Lehmann;R.J. Müller;T. Sanholm
Rica Gonen;Daniel Lehmann
S. Kraus;D. Lehmann
Daniel J. Lehmann;Saharon Shelah
D. J. Lehmann
Daniel J. Lehmann;Michael B. Smyth
Dan Gang;Daniel Lehmann
Sarit Kraus;Daniel J. Lehmann
Daniel Lehmann
Michael O. Rabin;Daniel Lehmann
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