The high-throughput highway to computational materials design
High-throughput computational materials design is an emerging area of materials science.
By combining advanced thermodynamic and electronic-structure methods with intelligent …
By combining advanced thermodynamic and electronic-structure methods with intelligent …
Innate immunity of the newborn: basic mechanisms and clinical correlates
O Levy - Nature Reviews Immunology, 2007 - nature.com
The fetus and newborn face a complex set of immunological demands, including protection
against infection, avoidance of harmful inflammatory immune responses that can lead to pre-…
against infection, avoidance of harmful inflammatory immune responses that can lead to pre-…
What we talk about when we talk about 'global mindset': Managerial cognition in multinational corporations
O Levy, S Beechler, S Taylor… - Journal of International …, 2007 - Springer
Recent developments in the global economy and in multinational corporations have placed
significant emphasis on the cognitive orientations of managers, giving rise to a number of …
significant emphasis on the cognitive orientations of managers, giving rise to a number of …
Roberta: A robustly optimized bert pretraining approach
Language model pretraining has led to significant performance gains but careful comparison
between different approaches is challenging. Training is computationally expensive, often …
between different approaches is challenging. Training is computationally expensive, often …
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
We present BART, a denoising autoencoder for pretraining sequence-to-sequence models.
BART is trained by (1) corrupting text with an arbitrary noising function, and (2) learning a …
BART is trained by (1) corrupting text with an arbitrary noising function, and (2) learning a …
GLUE: A multi-task benchmark and analysis platform for natural language understanding
For natural language understanding (NLU) technology to be maximally useful, both practically
and as a scientific object of study, it must be general: it must be able to process language …
and as a scientific object of study, it must be general: it must be able to process language …
Neural word embedding as implicit matrix factorization
O Levy, Y Goldberg - Advances in neural information …, 2014 - proceedings.neurips.cc
We analyze skip-gram with negative-sampling (SGNS), a word embedding method introduced
by Mikolov et al., and show that it is implicitly factorizing a word-context matrix, whose …
by Mikolov et al., and show that it is implicitly factorizing a word-context matrix, whose …
Project success: a multidimensional strategic concept
This article presents projects as powerful strategic weapons, initiated to create economic
value and competitive advantage. It suggests that project managers are the new strategic …
value and competitive advantage. It suggests that project managers are the new strategic …
AFLOW: An automatic framework for high-throughput materials discovery
Recent advances in computational materials science present novel opportunities for
structure discovery and optimization, including uncovering of unsuspected compounds and …
structure discovery and optimization, including uncovering of unsuspected compounds and …
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Y Goldberg, O Levy - arXiv preprint arXiv:1402.3722, 2014 - arxiv.org
The word2vec software of Tomas Mikolov and colleagues (https://code.google.com/p/word2vec/
) has gained a lot of traction lately, and provides state-of-the-art word embeddings. The …
) has gained a lot of traction lately, and provides state-of-the-art word embeddings. The …