1.7k citations
- Tel Aviv UniversityIL27 papers
- Rutgers, The State University of New JerseyUS26 papers
- Centre National de la Recherche ScientifiqueFR21 papers
- Weizmann Institute of ScienceIL21 papers
- California Institute of TechnologyUS20 papers
- University of ChicagoUS18 papers
- Bar-Ilan UniversityIL15 papers
- University of WashingtonUS14 papers
- Technion – Israel Institute of TechnologyIL13 papers
- Physico-Technical InstituteRU12 papers
- University of ArizonaUS12 papers
- University of California, BerkeleyUS11 papers
21 papers · 1 filter
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
Hamed Firouzi, Bala Rajaratnam, Alfred Hero
We introduce a new approach to variable selection, called Predictive Correlation Screening, for predictor design. Predictive Correlation Screening (PCS) implements false positive c…
Crossover from adiabatic to antiadiabatic phonon-assisted tunneling in single-molecule transistors
Eitan Eidelstein, Dotan Goberman, Avraham Schiller
The crossover between two customary limits of phonon-assisted tunneling, the adiabatic and antiadiabatic regimes, is studied systematically in the framework of a minimal model for…
Partial dynamical symmetry as a selection criterion for many-body interactions
A. Leviatan, J. E. Garcia-Ramos, P. Van Isacker
We propose the use of partial dynamical symmetry (PDS) as a selection criterion for higher-order terms in situations when a prescribed symmetry is obeyed by some states and is stro…
The transition towards immortality: non-linear autocatalytic growth of citations to scientific papers
Michael Golosovsky, Sorin Solomon
We discuss microscopic mechanisms of complex network growth, with the special emphasis of how these mechanisms can be evaluated from the measurements on real networks. As an exampl…
Rapidly reconfigurable optically induced photonic crystals in hot rubidium vapor
Bethany Little, David J. Starling, John C. Howell +3
Through periodic index modulation, we create two different types of photonic structures in a heated rubidium vapor for controlled reflection, transmission and diffraction of light.…
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm
Nir Friedman, Iftach Nachman, Dana Pe'er
Learning Bayesian networks is often cast as an optimization problem, where the computational task is to find a structure that maximizes a statistically motivated score. By and larg…