博客

Essays and notes on machine learning, representation learning, and adjacent ideas.

  1. The Generalization-Specialization Dilemma PDF

    On the tension between flexibility and precision in biological and artificial systems.

  2. Language and the Art of Modeling the World

    Thoughts on the grounding of language, LLMs, and symbolic understanding.

  3. Three Weekly Self-Introspections

    Personal routine reflections for better research alignment and weekly growth.

  4. How Information Bottleneck Helps Representation Learning PDF

    An overview connecting rate-distortion theory, VIB, and beta-VAE under the information bottleneck lens.

  5. Thoughts on Contrastive Representation Learning PDF

    Reflections on disentanglement and causality in contrastive learning frameworks.