research
∙
07/19/2023
Learning-based approaches for reconstructions with inexact operators in nanoCT applications
Imaging problems such as the one in nanoCT require the solution of an in...
share
research
∙
02/04/2023
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time
Critical applications, such as in the medical field, require the rapid p...
research
∙
11/27/2022
Improving Low-Resource Question Answering using Active Learning in Multiple Stages
Neural approaches have become very popular in the domain of Question Ans...
research
∙
09/05/2022
Multi-Tracer Groundwater Dating in Southern Oman using Bayesian Modelling
In the scope of assessing aquifer systems in areas where freshwater is s...
research
∙
02/08/2021
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming
We formulate the search for phenomenological models of synaptic plastici...
research
∙
05/04/2020
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents
We present ADVISER - an open-source, multi-domain dialog system toolkit ...
research
∙
03/10/2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
In this work, we investigate the application of deep learning methods fo...
research
∙
12/10/2019
Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data
Neural networks have recently been established as a viable classificatio...
research
∙
10/01/2019
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods
Deep Learning approaches for solving Inverse Problems in imaging have be...
research
∙
06/17/2019