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Andreas Look
Observed name:
Look, Andreas
Institutions:
Coburg University of Applied Sciences,
Robert Bosch (United States),
Robert Bosch (India),
Robert Bosch (Germany)
Observed institutions:
University of Stuttgart,
Coburg University of Applied Sciences,
University of Southern Denmark,
Friedrich-Alexander-Universität Erlangen-Nürnberg,
Technische Universität Darmstadt,
Robert Bosch (United States),
Robert Bosch (India),
Robert Bosch (Germany)
show all 8
ORCID:
0000-0002-7423-4091
Observed ORCID:
0000-0002-7423-4091
OpenAlex ID:
A5042671881
Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving
2023
·
Keysan, Ali
, Look, Andreas
, et al.
·
arXiv (Cornell University)
·
13
PDF
Building Robust Classifiers with Generative Adversarial Networks for Detecting Cavitation in Hydraulic Turbines
2018
·
Andreas Look
, Oliver Kirschner
, et al.
·
International Conference on Pattern Recognition Applications and Methods
·
8
A System of Equations: Mathematics Lessons in Classical Literature
2015
·
Valery Ochkov
, Andreas Look
·
Journal of Humanistic Mathematics
·
7
PDF
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes
2020
·
Haussmann, Manuel
, Gerwinn, Sebastian
, et al.
·
arXiv (Cornell University)
·
6
PDF
Differential Bayesian Neural Nets
2019
·
Look, Andreas
, Kandemir, Melih
·
arXiv (Cornell University)
·
6
PDF
Cavitation Damage Detection Through Acoustic Emissions
2019
·
Andreas Look
, Stefan Riedelbauch
, et al.
·
IOP Conference Series Earth and Environmental Science
·
5
PDF
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction
2025
·
Aron Distelzweig
, Andreas Look
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
3
PDF
Motion Forecasting via Model-Based Risk Minimization
2025
·
Aron Distelzweig
, Eitan Kosman
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
·
2
PDF
A Deterministic Approximation to Neural SDEs
2022
·
Andreas Look
, Melih Kandemir
, et al.
·
IEEE Transactions on Pattern Analysis and Machine Intelligence
·
2
PDF
Differentiable Implicit Layers
2020
·
Look, Andreas
, Doneva, Simona
, et al.
·
University of Southern Denmark Research Portal (University of Southern Denmark)
·
2
Detection and Level Estimation of Cavitation in Hydraulic Turbines with Convolutional Neural Networks
2018
·
Look, Andreas
, Kirschner, Oliver
, et al.
·
ASME Press eBooks
·
2
PDF
Sampling-Free Probabilistic Deep State-Space Models
2023
·
Look, Andreas
, Kandemir, Melih
, et al.
·
arXiv (Cornell University)
·
1
PDF
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
2023
·
Look, Andreas
, Kandemir, Melih
, et al.
·
arXiv (Cornell University)
·
1
PDF
Learning with Little Data: Evaluation of Deep Learning Algorithms
2018
·
Andreas Look
, Stefan Riedelbauch
·
1
INTERACT: Interactive Planning for Autonomous Driving via Anchor-Conditioned Prediction and Trust-Region Refinement
2026
·
Distelzweig, Aron
, Look, Andreas
, et al.
·
arXiv (Cornell University)
PDF
Comfort by Construction: Adaptive, Comfort-Bounded Action Spaces for Learned Driving Policies
2026
·
Rothenhäusler, Anna
, Jost, Daniel
, et al.
·
arXiv (Cornell University)
PDF
PRISM: Privileged Probabilistic Latent Supervision for End-to-End Autonomous Driving Motion Planning
2026
·
Havrylov, Volodymyr
, Janjoš, Faris
, et al.
·
arXiv (Cornell University)
PDF
Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving
2026
·
Distelzweig, Aron
, Janjoš, Faris
, et al.
·
arXiv (Cornell University)
PDF
Uncertainty Matters: Structured Probabilistic Online Mapping for Motion Prediction in Autonomous Driving
2026
·
Gogoi, Pritom
, Janjoš, Faris
, et al.
·
arXiv (Cornell University)
PDF
Don't double it: Efficient Agent Prediction in Occlusions
2026
·
Rothenhäusler, Anna
, Mazzola, Markus
, et al.
·
arXiv (Cornell University)
PDF
Deterministic Inference of Neural Stochastic Differential Equations.
2020
·
Andreas Look
, Qiu Chen
, et al.
·
arXiv (Cornell University)
Deterministic Neural SDEs for Affordable Uncertainty Quantification
2020
·
Andreas Look
, Melih Kandemir
, et al.
·
arXiv (Cornell University)
Deterministic Variational Inference for Neural SDEs
2020
·
Andreas Look
, Melih Kandemir
, et al.
·
arXiv (Cornell University)
Vorhersage von stationären Strömungsfeldern mit neuronalen Netzen
2019
·
Lukas Harsch
, Andreas Look
, et al.
·
WASSERWIRTSCHAFT
Dealing with Limited Access to Data: Comparison of Deep Learning Approaches
2019
·
Andreas Look
, Stefan Riedelbauch
·
International Joint Conference on Neural Networks (IJCNN)
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Works count:
26
Citation count:
59
H-index:
5
I10-index:
1
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