Author

David A. Klindt

2 papers indexed here

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Open access Sep 2026

High-dimensional population codes reveal interpretable and diverse features underlying visual perception

This work computationally extracts population codes from macaque electrophysiology datasets spanning V4 and IT cortex and vision models, introduces an automated method to measure representation interpretability and diversity, and demonstrates through targeted ablations that interpretable representations play a causal r...

Habon A. Issa, Sunny Liu, Jona Ballé et al. · bioRxiv · 0 citations

#artificial intelligence Preprint Oct 2026

DSReg: Provably Recovering Individual World Latents without Reconstruction

DSReg (Dependency-Sparsity Regularization) recovers individual world latents up to signed permutation, without reconstruction or a decoder, without reconstruction or a decoder, and establishes the first fully identifiable JEPA that recovers every world latent.

Yujia Zheng, David A. Klindt, Randall Balestriero et al. · 0 citations