1.8k citations
- Tel Aviv UniversityIL42 papers
- Boston UniversityUS31 papers
- Technion – Israel Institute of TechnologyIL26 papers
- Ben-Gurion University of the NegevIL24 papers
- Hebrew University of JerusalemIL22 papers
- University of Maryland, College ParkUS20 papers
- Ariel UniversityIL19 papers
- Weizmann Institute of ScienceIL19 papers
- Centre National de la Recherche ScientifiqueFR16 papers
- Harvard UniversityUS16 papers
- Institute of Radio AstronomyUA13 papers
- Brookhaven National LaboratoryUS12 papers
46 papers · 1 filter
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…
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…