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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,982 papers · 148 categories

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2 results for “shift-equivariant”

Powerset Convolutional Neural Networkscs.LG

New CNNs for set functions using powerset shifts.

problem Classifying data indexed by the powerset of a finite set.

method Developed a novel class of CNNs with shift-equivariant convolutions.

result Demonstrated potential of powerset CNNs on synthetic and real-world datasets.

powerset CNNs set functions shift-equivariant classification tasks

2019-09-05abs ↗pdf ↗

Equivariant Machine Learning on Graphs with Nonlinear Spectral Filterscs.LG

New equivariant filters improve graph classification.

problem Designing deep learning models for graph symmetries.

method Nonlinear spectral filters (NLSFs) that are equivariant to graph functional shifts.

result NLSFs outperform existing spectral GNNs in graph classification.

equivariant machine learning graph neural networks spectral filters graph functional shifts universal approximation

2024-06-03abs ↗pdf ↗