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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...
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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...
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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...
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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...
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02/08/2021
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming
We formulate the search for phenomenological models of synaptic plastici...
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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 ...
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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...
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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...
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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...
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06/17/2019
