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The New Locus of Representation? A Researcher’s Perspective on the Large-Model Era with Limited Compute
A short take on where representation learning lives in the era of large multimodal models and limited compute.
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The Shimmering Gap
Reflections on minds, intelligence, and knowing
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When the Internal Map Gets Warped
Why Identifiable Representations Are Crucial for Responsible AI?
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The Generalization–Specialization Dilemma
On the tension between flexibility and precision in biological and artificial systems.
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Language and the Art of Modeling the World
Thoughts on the grounding of language, LLMs, and symbolic understanding.
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Three Weekly Self-Introspections
Personal routine reflections for better research alignment and weekly growth.
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How Information Bottleneck Helps Representation Learning
An overview connecting rate–distortion theory, VIB, and β-VAE under the IB lens.
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Thoughts on Contrastive Representation Learning
Reflections on disentanglement and causality in contrastive learning frameworks.