- vision
- language
- time series
- multimodal
- embedded
- internship
- thesis
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Unsupervised topic modelling of social media content
Development of an unsupervised topic modelling technique to cluster and classify social media posts.
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User Semantic Embedding in Social Media Graphs.
Develop Self-Supervised method to learn high quality semantic embedding of social media users, purely based on their activity on the graph and without relying on labelled data.
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Gaussian Processes for Geo-Temporal series.
Exploration of the application of Gaussian Processes to Geo-Temporal series with focus on crime distribution forecast in a city.
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Cross Attention for time series transformers.
In the context of multivariate time series analysis, develop a novel form of cross-attention mechanism for transformers. The goal is to enhance the model's ability to distinguish attentional patterns between the variables targeted for prediction and supplementary features.
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Exploring SAR interferometry (InSAR) for surface monitoring
Exploring SAR interferometry (InSAR) for surface monitoring