10.9k citations
- Centre National de la Recherche ScientifiqueFR358 papers
- Weizmann Institute of ScienceIL298 papers
- University of California, BerkeleyUS295 papers
- Technion – Israel Institute of TechnologyIL289 papers
- University of California, Santa CruzUS269 papers
- The Ohio State UniversityUS267 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR264 papers
- Lawrence Berkeley National LaboratoryUS264 papers
- Heidelberg UniversityDE263 papers
- Rutherford Appleton LaboratoryGB263 papers
- Université Paris CitéFR262 papers
- Université Paris-SudFR257 papers
188 papers · 1 filter
Predicting Relevance Scores for Triples from Type-Like Relations using Neural Embedding - The Cabbage Triple Scorer at WSDM Cup 2017
Yael Brumer, Bracha Shapira, Lior Rokach +1
The WSDM Cup 2017 Triple scoring challenge is aimed at calculating and assigning relevance scores for triples from type-like relations. Such scores are a fundamental ingredient for…
Range Queries in Non-blocking -ary Search Trees
Trevor Brown, Hillel Avni
We present a linearizable, non-blocking -ary search tree (-ST) that supports fast searches and range queries. Our algorithm uses single-word compare-and-swap (CAS) operations…
Vortex lattices in binary Bose-Einstein condensates with dipole-dipole interactions
Ramavarmaraja Kishor Kumar, Lauro Tomio, Boris A. Malomed +1
We study the structure and stability of vortex lattices in two-component rotating Bose-Einstein condensates with intrinsic dipole-dipole interactions (DDIs) and contact interaction…
A dearth of small particles in the transiting material around the white dwarf WD 1145+017
S. Xu, S. Rappaport, R. van Lieshout +35
White dwarf WD 1145+017 is orbited by several clouds of dust, possibly emanating from actively disintegrating bodies. These dust clouds reveal themselves through deep, broad, and e…
Performance Heuristics for GR(1) Synthesis and Related Algorithms
Elizabeth Firman, Shahar Maoz, Jan Oliver Ringert
Reactive synthesis for the GR(1) fragment of LTL has been implemented and studied in many works. In this workshop paper we present and evaluate a list of heuristics to potentially…
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…