research
∙
12/20/2022
Visual Transformers for Primates Classification and Covid Detection
We apply the vision transformer, a deep machine learning model build aro...
share
research
∙
08/10/2022
Capturing Dependencies within Machine Learning via a Formal Process Model
The development of Machine Learning (ML) models is more than just a spec...
research
∙
12/14/2021
Quantifying Multimodality in World Models
Model-based Deep Reinforcement Learning (RL) assumes the availability of...
research
∙
12/14/2020
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning
A characteristic of reinforcement learning is the ability to develop unf...
research
∙
08/11/2020
Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms
In many fields of research, labeled datasets are hard to acquire. This i...
research
∙
05/25/2020
Policy Entropy for Out-of-Distribution Classification
One critical prerequisite for the deployment of reinforcement learning s...
research
∙
04/11/2020
Trajectory annotation using sequences of spatial perception
In the near future, more and more machines will perform tasks in the vic...
research
∙
04/11/2020
Bayesian Surprise in Indoor Environments
This paper proposes a novel method to identify unexpected structures in ...
research
∙
12/31/2019
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning
Robustness to out-of-distribution (OOD) data is an important goal in bui...
research
∙
02/13/2019
Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm
From formal and practical analysis, we identify new challenges that self...
research
∙
01/08/2019