Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Tel Aviv UniversityIL181 papers
- Boston UniversityUS130 papers
- Weizmann Institute of ScienceIL117 papers
- Ariel UniversityIL101 papers
- Ben-Gurion University of the NegevIL99 papers
- Centre National de la Recherche ScientifiqueFR98 papers
- Hebrew University of JerusalemIL95 papers
- Technion – Israel Institute of TechnologyIL90 papers
- Massachusetts Institute of TechnologyUS82 papers
- Stanford UniversityUS75 papers
- University of CambridgeGB70 papers
- University of Maryland, College ParkUS68 papers
139 papers · 1 filter
Experimental Study of the Exciton Gas Liquid Transition in Coupled Quantum Wells
Subhradeep Misra, Michael Stern, Arjun Joshua +2
We study the exciton gas-liquid transition in GaAs/AlGaAs coupled quantum wells. Below a critical temperature, Tc=4.8K, and above a threshold laser power density the system undergo…
Non-invasive biomarkers of fetal brain development reflecting prenatal stress: an integrative multi-scale multi-species perspective on data collection and analysis
Martin G. Frasch, Silvia Lobmaier, Tamara Stampalija +11
Prenatal stress (PS) impacts early postnatal behavioural and cognitive development. This process of 'fetal programming' is mediated by the effects of the prenatal experience on the…
Chains of Semiprime and Prime Ideals in Leavitt Path Algebras
Gene Abrams, Be'eri Greenfeld, Zachary Mesyan +1
Semiprime ideals of an arbitrary Leavitt path algebra L are described in terms of their generators. This description is then used to show that the semiprime ideals form a complete…
On the tame authomorphism approximation, augmentation Topology of Automorphism Groups and -schemes, and authomorphisms of tame automorphism groups
A. Kanel-Belov, J. -T. Yu, A. Elishev
We study authomorphisms of -groups of polynomial automorphisms (wich are singular) via tame approximations. Such objects were pioneeered in research by B.I.Plotkin We obtain a…
Dispersion of particles in an infinite-horizon Lorentz gas
L. Zarfaty, A. Peletskyi, I. Fouxon +2
We consider a two-dimensional Lorentz gas with infinite horizon. This paradigmatic model consists of pointlike particles undergoing elastic collisions with fixed scatterers arrange…
Cauchy, infinitesimals and ghosts of departed quantifiers
Jacques Bair, Piotr Blaszczyk, Robert Ely +10
Procedures relying on infinitesimals in Leibniz, Euler and Cauchy have been interpreted in both a Weierstrassian and Robinson's frameworks. The latter provides closer proxies for t…
First-principles studies of the local structure and relaxor behavior of Pb(MgNb)O-PbTiO-derived ferroelectric perovskite solid solutions
Hengxin Tan, Hiroyuki Takenaka, Changsong Xu +3
We have investigated the effect of transition metal dopants on the local structure of the prototypical 0.75 Pb(MgNb)O-0.25 PbTiO relaxor ferroelectric. We f…
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess
Eli David, Nathan S. Netanyahu, Lior Wolf
We present an end-to-end learning method for chess, relying on deep neural networks. Without any a priori knowledge, in particular without any knowledge regarding the rules of ches…
DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders
Ido Cohen, Eli David, Nathan S. Netanyahu +2
This paper presents a novel deep learning-based method for learning a functional representation of mammalian neural images. The method uses a deep convolutional denoising autoencod…
DeepPainter: Painter Classification Using Deep Convolutional Autoencoders
Eli David, Nathan S. Netanyahu
In this paper we describe the problem of painter classification, and propose a novel approach based on deep convolutional autoencoder neural networks. While previous approaches rel…
DNN-Buddies: A Deep Neural Network-Based Estimation Metric for the Jigsaw Puzzle Problem
Dror Sholomon, Eli David, Nathan S. Netanyahu
This paper introduces the first deep neural network-based estimation metric for the jigsaw puzzle problem. Given two puzzle piece edges, the neural network predicts whether or not…
DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification
Eli David, Nathan S. Netanyahu
This paper presents a novel deep learning based method for automatic malware signature generation and classification. The method uses a deep belief network (DBN), implemented with…
Genetic Algorithms for Evolving Computer Chess Programs
Eli David, H. Jaap van den Herik, Moshe Koppel +1
This paper demonstrates the use of genetic algorithms for evolving: 1) a grandmaster-level evaluation function, and 2) a search mechanism for a chess program, the parameter values…
Genetic Algorithms for Evolving Deep Neural Networks
Eli David, Iddo Greental
In recent years, deep learning methods applying unsupervised learning to train deep layers of neural networks have achieved remarkable results in numerous fields. In the past, many…
Image Registration of Very Large Images via Genetic Programming
Sarit Chicotay, Eli David, Nathan S. Netanyahu
Image registration (IR) is a fundamental task in image processing for matching two or more images of the same scene taken at different times, from different viewpoints and/or by di…
Expert-Driven Genetic Algorithms for Simulating Evaluation Functions
Eli David, Moshe Koppel, Nathan S. Netanyahu
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function's parameters for computer chess. Our results show that using an appropria…
Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions
Eli David, H. Jaap van den Herik, Moshe Koppel +1
This paper demonstrates the use of genetic algorithms for evolving a grandmaster-level evaluation function for a chess program. This is achieved by combining supervised and unsuper…
Genetic Algorithms for Mentor-Assisted Evaluation Function Optimization
Eli David, Moshe Koppel, Nathan S. Netanyahu
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function's parameters for computer chess. Our results show that using an appropria…
A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles
Dror Sholomon, Eli David, Nathan S. Netanyahu
In this paper we propose the first effective automated, genetic algorithm (GA)-based jigsaw puzzle solver. We introduce a novel procedure of merging two "parent" solutions to an im…
An Automatic Solver for Very Large Jigsaw Puzzles Using Genetic Algorithms
Dror Sholomon, Eli David, Nathan S. Netanyahu
In this paper we propose the first effective genetic algorithm (GA)-based jigsaw puzzle solver. We introduce a novel crossover procedure that merges two "parent" solutions to an im…
Genetic Algorithm-Based Solver for Very Large Multiple Jigsaw Puzzles of Unknown Dimensions and Piece Orientation
Dror Sholomon, Eli David, Nathan S. Netanyahu
In this paper we propose the first genetic algorithm (GA)-based solver for jigsaw puzzles of unknown puzzle dimensions and unknown piece location and orientation. Our solver uses a…
A Two-Phase Genetic Algorithm for Image Registration
Sarit Chicotay, Eli David, Nathan S. Netanyahu
Image Registration (IR) is the process of aligning two (or more) images of the same scene taken at different times, different viewpoints and/or by different sensors. It is an impor…
Theory of time-averaged neutral dynamics with environmental stochasticity
Matan Danino, Nadav M. Shnerb
Competition is the main driver of population dynamics, which shapes the genetic composition of populations and the assembly of ecological communities. Neutral models assume that al…
Multichannel Speech Separation and Enhancement Using the Convolutive Transfer Function
Xiaofei Li, Laurent Girin, Sharon Gannot +1
This paper addresses the problem of speech separation and enhancement from multichannel convolutive and noisy mixtures, \emph{assuming known mixing filters}. We propose to perform…