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  • Clade
  • Paris

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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HuguesSib/README.md

Hi there, I'm Hugues 👋

🧠 AI Researcher passionate about multimodal models and their broad applications
🔍 Information Retrieval Enthusiast - believing most problems stem from how we find and process information
📄 Published Researcher - [ICLR 2025] ColPali: Document Retrieval in Visual Space

🔬 Current Focus

  • Vision Language Models and multimodal AI systems
  • Agentic workflows and production AI pipelines
  • Information retrieval across diverse domains
  • AI interpretability and safety

🌱 Research Interests

  • 🔍 Information retrieval as the foundation of AI problems
  • 🤖 Agentic systems and autonomous workflows
  • 🏥 AI for healthcare and social good applications
  • 🛡️ AI safety, interpretability, and reliable systems
  • 🌍 Applying AI to global challenges (environment, development, etc.)

🏆 Recent Achievements

  • [ICML 2025] Published ColPali - breakthrough in visual document retrieval.
  • Production AI experience building agentic systems at Clade.co
  • ETH Zürich MSc in ML & Signal Processing (84% GPA)
  • Global perspective from 8-month volunteering travels across Asia

💻 Building

Quick projects with live demos showcasing practical AI applications

📫 Let's Connect

LinkedIn X Email Resume

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  1. colpali colpali Public

    Forked from illuin-tech/colpali

    The code used to train and run inference with the ColPali architecture.

    Python

  2. illuin-tech/vidore-benchmark illuin-tech/vidore-benchmark Public

    Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.

    Python 244 32

  3. IRM-Metastases-Segmentation IRM-Metastases-Segmentation Public

    Segmenting brain metastases with minimal annotations for radiotherapy applications.

    Python

  4. DeepPoly-Prover DeepPoly-Prover Public

    Formal verification tool for neural network robustness - critical for AI safety in high-stakes applications

    Python