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Tariolle/README.md

I'm focused on self-supervised learning and world models.

Selected work

  • Opportunistic Target Selection - CAp 2026 accepted paper on query-efficient black-box adversarial attacks.
  • DashVMC - Ongoing research on real-time discrete world model control in Geometry Dash with FSQ tokenization, action-conditioned transformer dynamics, and imagined-rollout policy training.
  • Hack the World(s) - Finalist at a Yann LeCun-sponsored JEPA/world model hackathon; built a self-supervised EEG system with Riemannian analysis of the learned representations.
  • Rose - Open-source League of Legends customization tool with 25K+ daily active users.

Links

Website - LinkedIn - Google Scholar

Pinned Loading

  1. Alban1911/RoseAlban1911/RosePublic

    League, unlocked.

    Python 448 46

  2. dash-vmcdash-vmcPublic

    Real-Time Discrete World-Model Control in Geometry Dash

    Python 6

  3. opportunistic-target-selectionopportunistic-target-selectionPublic

    Early commitment for query-efficient score-based black-box adversarial attacks. CAp 2026

    Python 2

  4. hello-worldshello-worldsPublic

    Joint-embedding EEG SSL with Riemannian latent analysis. Hack the World(s) 2026 finalist

    Python 5

  5. willyfh/visualtorchwillyfh/visualtorchPublic

    VisualTorch aims to help visualize Torch-based neural network architectures.

    Python 326 20

  6. LeagueAccountsLeagueAccountsPublic

    League of Legends account switcher with automatic credential filling, rank fetching, and secure password storage

    Python 8 1