Concepedia

Lukas Schott

LS

10

Publications

620

Citations

10

H-Index

2015

Active since

Affiliations

University of Tübingen(Current)

Max Planck Institute for Intelligent Systems

Max Planck Society

Max Planck Institute for Biological Cybernetics

Lukas Schott is an author at University of Tübingen specializing in deep learning, engineering, and data science.

Top concepts

EngineeringData ScienceDeep LearningComputer ScienceMachine LearningComputer VisionMachine VisionPattern RecognitionAdversarial Machine LearningImage Analysis

Publications per year

2015–2020

10

Publications

10

Towards the First Adversarially Robust Neural Network Model on MNIST

Lukas Schott, Jonas Rauber, Matthias Bethge et al. · MPG.PuRe (Max Planck Society) · 2019 · 183 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +17

Comparative Study of Caffe, Neon, Theano, and Torch for Deep Learning

Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott et al. · arXiv (Cornell University) · 2015 · 103 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

Comparative Study of Deep Learning Software Frameworks

Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott et al. · arXiv (Cornell University) · 2015 · 87 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +21

Towards the first adversarially robust neural network model on MNIST

Lukas Schott, Jonas Rauber, Matthias Bethge et al. · arXiv (Cornell University) · 2018 · 86 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +17

A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions

Evgenia Rusak, Lukas Schott, R. Zimmermann et al. · Lecture notes in computer science · 2020 · 43 citations · Full text

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