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Implementation of the PAC Bayesian GP learning method.
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Nov 30, 2018 - Python
Simultaneous task allocation and motion scheduling (STAAMS) solver based on constraint programming and optimization, implemented for the Robot Operating System (ROS)
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Feb 6, 2019 - Python
Two XDKs utilize the smart contract running on the Ethereum node to set up a secured data purchasing process
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Apr 18, 2019 - C
Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
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Jun 12, 2019 - Python
This is the companion code for the paper GOODE: A Gaussian Off-the-shelf Ordinary Differential Equation Solver by David John, Michael Schober and Vincent Heuvline.
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Jul 9, 2019 - MATLAB
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Nov 19, 2019 - Jupyter Notebook
Code for toy dataset generation of "Grid Saliency for Context Explanations of Semantic Segmentation" (https://arxiv.org/abs/1907.13054)
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Nov 28, 2019 - Python
Code for "Progressive Augmentation of GANs" (https://arxiv.org/abs/1901.10422)
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Nov 28, 2019 - Python
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Feb 8, 2020 - Python
[DEPRECATED] Procedural generation library for Gazebo (please refer to https://github.com/boschresearch/pcg_gazebo)
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Mar 18, 2020 - Python
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
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Apr 24, 2020 - Python
Supplementary material for "Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges" IEEE transactions on intelligent transportation systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9000872 -- arxiv: https://arxiv.org/pdf/1902.07830.pdf
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Jun 15, 2020 - HTML
Resources related to ACL 2020 paper "Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain"
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Jul 9, 2020 - Python
A synthetic 24 hour traffic scenario for a 45 km section of the German highway A81 between Stuttgart Feuerbach - Heilbronn (Baden-Württemberg) based on realistic traffic data.
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Oct 5, 2020
This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020
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Nov 10, 2020 - Python
Explanations for Inconsistency in Large-Scale Knowledge Graphs
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Nov 16, 2020
Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)
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Nov 24, 2020 - Python
ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation
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Dec 3, 2020 - Jupyter Notebook
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