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Towards enabling precision medicine in Alzheimer's disease and Parkinson's disease
(2024-03-21)
Alzheimer's disease and Parkinson's disease are prominent progressive neurodegenerative diseases, with a significant clinical and economic impact on patients, their families, and society as a whole. Despite numerous clinical ...
On the Usability of Coverage-Based Fuzzing of C/C++ Programs
(2024-02-15)
Even though the foundations for fuzzing were laid more than 30 years ago, it did not play a role in industry or academia for a long time. Interestingly, the popularity of fuzzing has risen for top-tier companies and academia ...
Deep Dynamic Language Models
(2024-03-15)
This thesis investigates the domain of deep dynamic language models, focusing on the integration of temporal dynamics to enhance language modeling and its application in various tasks, such as text generation, recommendation ...
Generative Adversarial Networks for Semantic Image Synthesis and Unconditional Synthesis with Limited Data
(2024-02-15)
Generative modeling of images is an important task aimed at synthesizing new images that are indistinguishable from real samples. The ability to generate diverse, realistic- looking images holds numerous applications, ...
Multiple Objective Learning for Effective Knowledge Graph Embedding
(2023-03-15)
Over the past decade, knowledge graphs (KGs) have become popular for capturing structured domain knowledge. Knowledge graphs particularly allow the effortless integration of heterogeneous data into a coherent model. Besides ...
Temporal Knowledge Graph Embedding and Reasoning
(2023-03-27)
Knowledge Graphs (KGs) have emerged as an efficient way to organize and represent knowledge by storing the underlying relations between entities. Recently, a large amount of research works have been devoted to KG embeddings, ...
Self-Supervised Video Representation Learning and Downstream Applications
(2023-05-12)
Video understanding is an important computer vision task with a great variety of different applications, such as autonomous driving, robotics and video surveillance. Much progress has recently been made on video understanding ...
Data Science with Foundation Models: An Evidence-Based, Comprehensive Project Methodology
(2024-05-23)
In the past decades, the interest in data science has surged across sectors and industries. Data science has been impacted by a series of paradigm shifts, such as the emergence of big data, cloud computing or the demand ...
Deep Learning for Causal Inference and Latent Dynamical Modeling in Biomedical Research
(2024-06-03)
Biological systems are ubiquitous, encompassing complex molecular networks governing single-cell organisms to expansive ecosystems profoundly impacting our planet's environment. In biology, the adoption of a systems approach ...
Efficient Perception and Forecasting for Autonomous Vehicles
(2024-04-29)
In recent years, autonomous driving vehicles have attracted a lot of attention. In autonomous driving, safety is the highest priority. To ensure this, scene understanding and motion forecasting play an important role in ...