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alex-pv01/README.md
Hyperbolic Space Visualization

🌀 Àlex PV | Exploring the Geometry of Machine Learning

PhD Researcher at the intersection of non-Euclidean geometry and AI
Hyperbolic Learning • Concept Representation • Machine Unlearning

🧮 Current Research

I'm investigating how non-Euclidean geometries can revolutionize AI's ability to understand hierarchical concepts and selectively forget information. My work on hyperbolic contrastive unlearning explores the fundamental question:

"How does the underlying geometry of representation space affect our ability to edit and remove concepts from AI models?"

📚 Research Foundation
- 🔭 PhD Researcher at Visual Perception Analysis Lab, Aalborg University
- 🧑‍🏫 Supervised by Prof. Thomas B. Moeslund, Assoc. Prof. Kamal Nasrollahi, and Prof. Sergio Escalera
- 💰 Research funded by the Milestone Research Programme
- 🌐 Splitting time between Barcelona & Aalborg
⚙️ Technical Toolbox

PyTorch Python C++ LaTeX Docker

📊 Current Projects

  • 🌀 MERU-Unlearn: Adapting unlearning mechanisms to hyperbolic representation spaces
  • 🧠 Hierarchical Concept Learning: Understanding how concept hierarchies impact representation learning
  • 🔄 Geometric Contrastive Learning: Exploring the benefits of non-Euclidean spaces for contrastive representation learning

🔗 Research Connections

VAP Lab Milestone Systems HuPBA Group

📬 Connect

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