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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.

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3 results for “SoftSort”

Permutation Learning with Only N Parameters: From SoftSort to Self-Organizing Gaussianscs.LG

A new method reduces memory requirements for sorting high-dimensional data.

problem Efficiently sorting and organizing high-dimensional data with low memory usage.

method Iteratively shuffles N indices and applies SoftSort optimization steps.

result Significantly improves sorting quality for multidimensional data.

sorting permutation learning memory efficiency SoftSort Gaussian

2025-03-17abs ↗pdf ↗

Structural Incompatibility of Differentiable Sorting and Within-Vector Rank Normalizationcs.LG

Differentiable sorting and rank normalization are incompatible, with specific conditions for admissibility.

problem Incompatibility between differentiable sorting and rank normalization.

method Formalized admissibility through monotone invariance, batch independence, and rank-space stability conditions.

result Different gap-sensitive and batchwise relaxations of rank normalization violate the conditions for admissibility.

differentiable sorting rank normalization incompatibility monotone invariance batch independence

2025-12-27abs ↗pdf ↗

SoftSort: A Continuous Relaxation for the argsort Operatorcs.LG

A simple continuous relaxation for argsort improves performance and is easy to implement.

problem Discrete nature of argsort operator makes it unsuitable for gradient-based learning.

method Proposed a continuous relaxation for argsort operator that is simple, fast, and achieves state-of-the-art performance.

result The proposed relaxation achieves state-of-the-art performance and is faster than competing approaches.

argsort continuous relaxation gradient-based learning continuous optimization

2020-06-29abs ↗pdf ↗