Author

Hardik Rajpal

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Preprint Sep 2026

Fisher Information Metric as a model-free measure of proximity to criticality in neural systems

Critical phenomena are widespread across many disciplines and have recently become a topic of deep interest in the study of biological and artificial neural networks. A distinct signature of criticality is the emergence of avalanches with power-law-distributed sizes and durations. However, empirically estimating the cr...

Yue-Wei Du, A. Liardi, Hardik Rajpal et al. · 0 citations

Jul 2026

Emergent Generalization by Representation Learning in Artificial Neural Networks

It is shown that an explicit information bottleneck forcing a recurrent neural network to learn a low-dimensional representation is necessary for rotational and out-of-distribution generalisation in a time-series prediction task, and the ability of neural networks to learn compact, distributed and emergent representati...

Hardik Rajpal, Dan Goodman · arXiv.org · 0 citations