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jorispos/README.md

Joris Postmus

I'm an AI researcher and developer doing R&D at Waking Up. My work spans AI research, engineering, and product development.

Most of my current engineering work lives in private repositories. My recent public research explores conceptors as a way to make language-model steering more precise and compositional.

🔬 Research

Research with Steven Abreu, presented at the NeurIPS 2024 Workshop on Foundation Model Interventions.

Paper | Code | Project page

🌐 Website | 💼 LinkedIn | 🎓 Google Scholar

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  1. ConceptorSteering ConceptorSteering Public

    Official code for Steering Large Language Models using Conceptors, presented at the NeurIPS 2024 MINT Workshop.

    Jupyter Notebook 16 4

  2. Neural-Time-Series-Forecasting Neural-Time-Series-Forecasting Public

    Recursive multi-step forecasting with MLPs, polynomial detrending, and seasonal decomposition.

    Python 1

  3. NLP-Emotion-Classification NLP-Emotion-Classification Public

    TF-IDF text representations and Complement Naive Bayes for seven-class emotion recognition.

    Python 1

  4. Deep-RL-Lunar-Lander Deep-RL-Lunar-Lander Public

    Deep Q-learning with experience replay, benchmarked against SARSA and linear Q-function approximation.

    Python 1

  5. JPCode JPCode Public

    A visual text-encoding experiment I built in Java at sixteen, inspired by sci-fi robots communicating through images.

    Java