Results 21 to 30 of about 54,215,730 (336)
The Model- and the Data-Gamma [PDF]
Neuron, 2009 Brain regions that are structurally connected might become functionally connected by synchronization in the gamma-frequency band. In a recent issue of Nature, Colgin et al. show spatially and temporally fine-grained gamma-band synchronization between different parts of the rat hippocampal formation, suggesting a theta-modulated switching of gamma ...
Fries, P., Fries, P.
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Query Processing in Blockchain Systems: Current State and Future Challenges
Future Internet, 2021 When, in 2008, Satoshi Nakamoto envisioned the first distributed database management system that relied on cryptographically secured chain of blocks to store data in an immutable and tamper-resistant manner, his primary use case was the introduction of a
Dennis Przytarski +3 more
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Remote Sensing, 2022 Recent advances in Earth Observation (EO) placed Citizen Science (CS) in the highest position, declaring their essential provision of information in every discipline that serves the SDGs, and the 2050 climate neutrality targets.
Aikaterini Karagiannopoulou +3 more
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Effective Data Augmentation With Diffusion Models [PDF]
International Conference on Learning Representations, 2023 Data augmentation is one of the most prevalent tools in deep learning, underpinning many recent advances, including those from classification, generative models, and representation learning.
Brandon Trabucco +3 more
semanticscholar +1 more source
An Interval Temporal Logic for Time Series Specification and Data Integration
Remote Sensing, 2021 The analysis of temporal series—in particular, analysis of multisensor data—is a complex problem. It depends on the application domain, the way the data have to be used, and sensors available, among other factors.
Piotr Kosiuczenko
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Model-Centric Data Manifold: The Data Through the Eyes of the Model
SIAM Journal on Imaging Sciences, 2022 We discover that deep ReLU neural network classifiers can see a low-dimensional Riemannian manifold structure on data. Such structure comes via the local data matrix, a variation of the Fisher information matrix, where the role of the model parameters is taken by the data variables.
Grementieri, L, Fioresi, R
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Language Models are Realistic Tabular Data Generators [PDF]
International Conference on Learning Representations, 2022 Tabular data is among the oldest and most ubiquitous forms of data. However, the generation of synthetic samples with the original data's characteristics remains a significant challenge for tabular data.
V. Borisov +4 more
semanticscholar +1 more source
Social Science Research Network, 2015 This paper extends the Common Correlated Effects (CCE) approach developed by Pesaran (2006) to heterogeneous panel data models with lagged dependent variable and/or weakly ex-ogenous regressors.
A. Chudik, M. Pesaran, M. Pesaran
semanticscholar +1 more source
Deduplicating Training Data Makes Language Models Better [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 We find that existing language modeling datasets contain many near-duplicate examples and long repetitive substrings.As a result, over 1% of the unprompted output of language models trained on these datasets is copied verbatim from the training data.We ...
Katherine Lee +6 more
semanticscholar +1 more source
A Cartographic Perspective on the Planetary Geologic Mapping Investigation of Ceres
Remote Sensing, 2023 The NASA Dawn spacecraft visited asteroid 4 Vesta between 2011 and 2012 and dwarf planet 1 Ceres between 2015 and 2018 to investigate their surfaces through optical and hyperspectral imaging and their composition through gamma-ray and neutron ...
Andrea Naß, Stephan van Gasselt
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