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Mekkes, Erik (author)Large Language Models of code have seen significant jumps in performance recently. However, these jumps tend to accompany a notable and perhaps concerning increase in scale and costs. We contribute an evaluation of prediction performance with respect to model size by assessing the layer-wise progression for language and user-defined elements in...bachelor thesis 2023
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Platschorre, Arthur (author)This Bachelor thesis is on Covariant Emergent Gravity (CEG): a covariant formulation by Sabine Hossenfelder of the ideas of Erik Verlinde on gravity as an emergent force. In this work, the ideas of Erik Verlinde are presented as well as the field equations of CEG. The aim of this thesis is to find experimentally verifiable results for CEG. From...bachelor thesis 2019
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Frank, Abel (author)Eerst introduceren we het rekenkundig-meetkundig gemiddelde (RMG), een snel convergerend algoritme dat een verband heeft met π en nog veel meer constanten en functies. Hoffmann toont dit in een bewijs aan, echter is deze niet waterdicht en amper onderbouwd. Daarom gaan wij ons verdiepen in dit bewijs en met name een stap die twee ogenschijnlijk...bachelor thesis 2019
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Collé, Baptiste (author)Most deep learning models fail to generalize in production. Indeed, sometimes data used during training does not completely reflect the deployed environment. The test data is then considered out-of-distribution compared to the training data. In this paper, we focus on out-of-distribution performance for image classification. In fact,...bachelor thesis 2022
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Warchocki, Jan (author)In temporal action localization, given an input video, the goal is to predict which actions it contains, where they begin and where they end. Training and testing current state-of-the-art, deep learning models is done assuming access to large amounts of data and computational power. Gathering such data is however a challenging task and access to...bachelor thesis 2023
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Biesheuvel, Julian (author)Yes, convolutional neural networks are domain-invariant, albeit to some limited extent. We explored the performance impact of domain shift for convolutional neural networks. We did this by designing new synthetic tasks, for which the network’s task was to map images to their mean, median, standard deviation, and variance pixel intensities. We...bachelor thesis 2021
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Quin, Tristan (author)This research investigates the efficacy and reliability of geometric matching for the specific case of aligning non-exact copies of artistic works with the original from which they were derived. The purpose of which is to provide a foundation for comparison in any further analysis conducted by conservators and art historians. An overview of the...bachelor thesis 2022
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Halevy, Avi (author)In this work residual error estimates are constructed using Neural Networks for Finite Element Method. These can be used to do adaptive mesh refinement. Two neural networks are developed the Multilayer Perceptron and the Transformer model. The error estimates are made for 1d poisson equations but the idea will generalise to higher dimensions as...bachelor thesis 2022
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Keeler, Miranda (author)We present an investigation into the relationship between the average depth of the first correct prediction and the performance of CodeGen. This was done on a dataset comprised of code files comprised of C++, Go, Java, Julia, Kotlin, and Python. The analysis involved investigating the model's predictions at different layers using a Tuned Lens,...bachelor thesis 2023
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Kuo, Nadine (author)The development of contemporary source code auto-completion tools have significantly boosted productivity and efficiency of developers. In 2021, the GPT-2-based Transformer CodeGPT was developed to support code completion and text-to-code generation. Similarly to most code models however, CodeGPT was trained on a limited set of widely-used...bachelor thesis 2023
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Wong, Jing Jing (author)This research consists of two applications of image processing, namely, image compression and image denoising. Image compression aims to reduce the size of an image without losing too many features. This is often used to store a large number of images such as fingerprints. Denoising is a technique for removing noise from an image while...bachelor thesis 2022
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Garbowicz, Krzysztof (author)The field of Natural Language Processing (NLP) techniques has progressed rapidly over the recent years. With new advancements in transfer learning and the creation of open-source projects like BERT, solutions and research projects emerged implementing new ideas in a variety of domains, for tasks including text classification or question...bachelor thesis 2021
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Mertzanis, Nick (author)Convolutional Neural Networks are particularly vulnerable to attacks that manipulate their data, which are usually called adversarial attacks. In this paper, a method of filtering images using the Fast Fourier Transform is explored, along with its potential to be used as a defense mechanism to such attacks. The main contribution that differs...bachelor thesis 2021
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Hoang, Tu (author), Dumont, Joep (author)Pressure ulcers develop when skin is subjected to a mechanical load over time, resulting in tissue damage. This occurs when a patient is in the same posture or position for a long period of time. To prevent this Momo Medical is developing a sensor plate that uses sensor data attained from the patient laying on his bed to guide the nurses, whom...bachelor thesis 2018
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Ulev, Petar (author)This research paper analyses the effect that using frequency information can have on object detectors. The latter are complex networks that learn information about objects from images and are then able to predict the location of these objects in new, unseen images. There are, however, certain datasets that are hard to learn on, partly because...bachelor thesis 2021
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Teuwen, J.J.B. (author)In this thesis we study theorems that will yield easier expressions for the Sobolev space W2,p.bachelor thesis 2011
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Ştefan, Andrei (author)Collaboration is a key technique in modern supply chains, both for building trust with other companies, but also for reducing costs or maximizing profits. It is an approach which provides all involved parties with benefits that they could not possibly achieve on their own. Collaboration, however, requires abundant information, including...bachelor thesis 2021
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Trasberg, Markus (author)With the surge of mental health issues during COVID-19, more emphasis has turned towards assessing wellbeing. At the same time, recent advances in AI have shown huge potential in a variety of fields. However, few solutions are available at the intersection of those two fields. This research explores how the use of transformer models like GPT-3...bachelor thesis 2022
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Sochirca, Dan (author)Code generation models have become more popular recently, due to the fact that they assist developers in writing code in a more productive manner. While these large models deliver impressive performance, they require significant computational resources and memory, making them difficult to deploy and expensive to train. Additionally, their large...bachelor thesis 2023
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Timmerman, Kirsten (author)When making decisions, people are automatically guided by their moral compass. However, AI agents need to be conditioned in order to be steered towards moral behaviour. An environment that can be used to train and test agents is the Jiminy Cricket environment. The Jiminy Cricket environment consists of a set of text-based narrative games, where...bachelor thesis 2023