Andreas Look

Orcid: 0000-0002-7423-4091

According to our database¹, Andreas Look authored at least 11 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2023

A Deterministic Approximation to Neural SDEs.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Deterministic Approximations for Deep State-Space Models.

[BibT_eX]

[DOI]

Andreas Look

PhD thesis, 2023

Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Sampling-Free Probabilistic Deep State-Space Models.

[BibT_eX]

[DOI]

CoRR, 2023

Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving.

[BibT_eX]

[DOI]

CoRR, 2023

2021

Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Differentiable Implicit Layers.

[BibT_eX]

[DOI]

CoRR, 2020

Deterministic Inference of Neural Stochastic Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Differential Bayesian Neural Nets.

[BibT_eX]

[DOI]

Andreas Look

Melih Kandemir

CoRR, 2019

Dealing with Limited Access to Data: Comparison of Deep Learning Approaches.

[BibT_eX]

[DOI]

Andreas Look

Stefan Riedelbauch

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Building Robust Classifiers with Generative Adversarial Networks for Detecting Cavitation in Hydraulic Turbines.

[BibT_eX]

[DOI]

Andreas Look

Oliver Kirschner

Stefan Riedelbauch

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Andreas Look

Timeline

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