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Implementation of the PAC Bayesian GP learning method.
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Nov 30, 2018 - Python
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
A toolbox to explore synchronous layerwise-parallel deep neural networks.
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Jul 29, 2019 - Python
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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
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
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Apr 24, 2020 - Python
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
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
Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.
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Jan 28, 2021 - Python
This is the companion code for the method reported in the paper "Learning game-theoretic models of multiagent trajectories using implicit layers" published at AAAI 2021
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Feb 8, 2021 - Python
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Feb 22, 2021 - Python
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Mar 12, 2021 - Python
Source code for Volpp et al., "Bayesian Context Aggregation for Neural Processes", ICLR 2021
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Mar 15, 2021 - Python
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