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Found 5 papers, 4 papers with code
WIRE: Wavelet Implicit Neural Representations
Implicit neural representations (INRs) have recently advanced numerous vision-related areas.
A Blessing of Dimensionality in Membership Inference through Regularization
Is overparameterization a privacy liability?
MINER: Multiscale Implicit Neural Representations
We introduce a new neural signal model designed for efficient high-resolution representation of large-scale signals.
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
A surprising phenomenon in modern machine learning is the ability of a highly overparameterized model to generalize well (small error on the test data) even when it is trained to memorize the training data (zero error on the training data).
Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels
High dimensionality poses many challenges to the use of data, from visualization and interpretation, to prediction and storage for historical preservation.
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