Authors

David Klindt

Publications 2

Preprint Open access

DSReg: Provably Recovering Individual World Latents without Reconstruction

Yujia Zheng, David Klindt, Randall Balestriero et al. · 2026

Methods that recover individual latent variables of the world, from nonlinear ICA to dictionary learning and causal representation learning, anchor the latents to observations through reconstruction, auxiliary supervision, or distributional asymmetries such as non-Gaussianity. Methods without these anchors, including j …

Preprint Open access

Inference and learning in sparse autoencoders as natural gradient flow

Hadi Vafaii, Tejas Rao, David Chanin et al. · 2026

Sparse autoencoders are widely used to uncover interpretable features in neural networks, yet reliable recovery remains difficult when features overlap or activate infrequently. These challenges involve both inferring which features explain an input and learning the dictionary that represents them. Here, we unify infer …

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