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Andreas Look
Andreas Look
Bosch Center for AI
Bestätigte E-Mail-Adresse bei de.bosch.com
Titel
Zitiert von
Zitiert von
Jahr
Learning partially known stochastic dynamics with empirical PAC Bayes
M Haußmann, S Gerwinn, A Look, B Rakitsch, M Kandemir
International Conference on Artificial Intelligence and Statistics, 478-486, 2021
202021
Differentiable Implicit Layers
A Look, S Doneva, M Kandemir, R Gemulla, J Peters
Workshop on machine learning for engineering modeling, simulation and design …, 2020
112020
Differential Bayesian Neural Nets
A Look, M Kandemir
Bayesian Deep Learning Workshop 2019, 2019
112019
A system of equations: Mathematics lessons in classical literature
VF Ochkov, A Look
Journal of Humanistic Mathematics 5 (2), 121-132, 2015
102015
A Deterministic Approximation to Neural SDEs
A Look, M Kandemir, B Rakitsch, J Peters
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4023-4037, 2022
7*2022
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
A Look, M Kandemir, B Rakitsch, J Peters
Transactions on Machine Learning Research, 2023
62023
Building Robust Classifiers with Generative Adversarial Networks for Detecting Cavitation in Hydraulic Turbines.
A Look, O Kirschner, S Riedelbauch
ICPRAM 2018, 456-462, 2018
62018
Can you text what is happening? integrating pre-trained language encoders into trajectory prediction models for autonomous driving
A Keysan, A Look, E Kosman, G Gürsun, J Wagner, Y Yu, B Rakitsch
arXiv preprint arXiv:2309.05282, 2023
42023
Cavitation Damage Detection Through Acoustic Emissions
A Look, S Riedelbauch, J Necker, A Jung
IOP Conference Series: Earth and Environmental Science 405 (1), 012004, 2019
42019
Detection and level estimation of cavitation in hydraulic turbines with convolutional neural networks
A Look, O Kirschner, S Riedelbauch, JÖ Necker
32018
Sampling-Free Probabilistic Deep State-Space Models
A Look, M Kandemir, B Rakitsch, J Peters
arXiv preprint arXiv:2309.08256, 2023
12023
Dealing with Limited Access to Data: Comparison of Deep Learning Approaches
A Look, S Riedelbauch
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
1*2019
Making time-series predictions of a computer-controlled system
M Kandemir, S Gerwinn, A Look, B Rakitsch
US Patent 11,868,887, 2024
2024
Computer-implemented method for predicting a behavior of agents in a dynamic system with a multiplicity of interacting agents
A Look, B Rakitsch, J Peters
US Patent App. 18/308,629, 2023
2023
Device and method for training the neural drift network and the neural diffusion network of a neural stochastic differential equation
A Look, M Kandemir
US Patent App. 17/646,197, 2022
2022
Predicting a state of a computer-controlled entity
A Look, C Qiu, M Kandemir
US Patent App. 17/231,757, 2021
2021
Method and device for processing sensor data
A Look, M Kandemir
US Patent App. 17/086,057, 2021
2021
Prediction of stationary flow fields with neural networks.
L Harsch, A Look, S Riedelbauch
2019
Deterministic Approximations for Deep State-Space Models
A Look
Technische Universität Darmstadt, 0
Vorhersage von stationären Strömungsfeldern mit neuronalen Netzen
L Harsch, A Look, S Riedelbauch
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