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ruasnv/README.md

Rüya Sanver

Researcher in mathematical foundations of deep learning — spectral methods, geometric ML, and the theory of attention mechanisms.

Currently graduated from B.Sc. in Computer Engineering, where I work on the spectral and geometric structure of self-attention in transformer architectures.

Research

Spectral & Geometric Analysis of Attention Mechanisms
Investigating why attention weights behave the way they do, geometrically and spectrally. Connects to Teo & Nguyen (NeurIPS 2024).

Distributed ML Infrastructure (TÜBİTAK 2209-B)
Designed and deployed Kolektif, a distributed computing cluster system for ML workloads.

Grammar Evolution & Symbolic Computation
Independent work on evolutionary computation for symbolic regression.

Interests

Spectral methods · Kernel theory · Geometric deep learning
Attention interpretability · Mathematical ML

Contact

LinkedIn: linkedin.com/in/ruasnv

Pinned Loading

  1. attention-analysis attention-analysis Public

    Python

  2. fet-modeling fet-modeling Public

    Python

  3. hidden-symmetry-gsoc hidden-symmetry-gsoc Public

    The test tasks for GSoC project named "Discovery of hidden symmetries and conservation laws"

    Python

  4. matcha-distributed-hpc matcha-distributed-hpc Public

    Python

  5. ml-methods-for-earthquake-prediction ml-methods-for-earthquake-prediction Public

    Jupyter Notebook

  6. grammar-evolution-as-epistemic-computation grammar-evolution-as-epistemic-computation Public