Andreas Look

According to our database, Andreas Look authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Entropy-Based Uncertainty Modeling for Trajectory Prediction in Autonomous Driving.

Aron Distelzweig, Andreas Look, Eitan Kosman, Faris Janjos, Jörg Wagner, Abhinav Valada

CoRR, 2024

Motion Forecasting via Model-Based Risk Minimization.

Aron Distelzweig, Eitan Kosman, Andreas Look, Faris Janjos, Denesh K. Manivannan, Abhinav Valada

CoRR, 2024

2023

A Deterministic Approximation to Neural SDEs.

Andreas Look, Melih Kandemir, Barbara Rakitsch, Jan Peters

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

Deterministic Approximations for Deep State-Space Models.

Andreas Look

PhD thesis, 2023

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

Andreas Look, Barbara Rakitsch, Melih Kandemir, Jan Peters

Trans. Mach. Learn. Res., 2023

Sampling-Free Probabilistic Deep State-Space Models.

Andreas Look, Melih Kandemir, Barbara Rakitsch, Jan Peters

CoRR, 2023

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

Ali Keysan, Andreas Look, Eitan Kosman, Gonca Gürsun, Jörg Wagner, Yu Yao, Barbara Rakitsch

CoRR, 2023

2021

Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes.

Manuel Haußmann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir

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

2020

Differentiable Implicit Layers.

Andreas Look, Simona Doneva, Melih Kandemir, Rainer Gemulla, Jan Peters

CoRR, 2020

Deterministic Inference of Neural Stochastic Differential Equations.

Andreas Look, Chen Qiu, Maja Rudolph, Jan Peters, Melih Kandemir

CoRR, 2020

2019

Differential Bayesian Neural Nets.

Andreas Look, Melih Kandemir

CoRR, 2019

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

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.

Andreas Look, Oliver Kirschner, Stefan Riedelbauch

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