Concepedia
Statistics
Publications
5
Citations
240
H-Index
Active since
2009
Affiliations
The University of Tokyo(Current)
Yale University
University of Yamanashi
University of Zurich
Howard Hughes Medical Institute
Adrian Hoffmann is an author at The University of Tokyo specializing in engineering, deep learning, and social sciences.
Top concepts
EngineeringDeep LearningSocial SciencesNeurologyData ScienceNeuroimagingNeuroscienceNeurophysiologyComputer ScienceMachine Learning
Publications per year
2009–2021
A database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging
Peter Rupprecht, Stefano Carta, Adrian Hoffmann et al. · Nature Neuroscience · 2021 · 153 citations · Full text
Engineering, Neurodynamics, Deep Learning +15
<i>INTEGRAL</i> observation of hard X-ray variability of the TeV binary LS 5039/RX J1826.2-1450
Adrian Hoffmann, D. Klochkov, A. Santangelo et al. · Astronomy and Astrophysics · 2009 · 29 citations · Full text
Photometry, X-ray Spectroscopy, Hard X-ray +13
Database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging
Peter Rupprecht, Stefano Carta, Adrian Hoffmann et al. · 2020 · 28 citations · Full text
Convolutional Neural Network, Engineering, Machine Learning +24
This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks
Adrian Hoffmann, Claudio Fanconi, Rahul Rade et al. · arXiv (Cornell University) · 2021 · 19 citations · Full text
Artificial Intelligence, Architectural Design, Structured Prediction +15
Functional analysis of information rates conveyed by rat whisker-related trigeminal nuclei neurons
Sophie Laturnus, Adrian Hoffmann, Shubhodeep Chakrabarti et al. · Journal of Neurophysiology · 2021 · 11 citations
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