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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.

168,742 papers · 148 categories

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3 results for “UCoS”

Leveraging tensor kernels to reduce objective function mismatch in deep clusteringstat.ML

New tensor kernels reduce mismatch between clustering and reconstruction objectives in deep learning.

problem Objective Function Mismatch in deep clustering.

method Proposed Unsupervised Companion Objectives (UCOs) with tensor kernels to address mismatch.

result Reduced OFM between clustering and reconstruction objectives, leading to improved clustering performance.

Deep clustering Objective Function Mismatch Tensor kernels Unsupervised Companion Objectives Reconstruction objectives

2020-01-20abs ↗pdf ↗

An Unconditional Representation of the Conditional Score in Infinite-Dimensional Linear Inverse Problemsstat.ML

UCoS avoids forward model evaluations in sampling for large-scale linear inverse problems.

problem Efficient sampling from posterior distributions in large-scale linear inverse problems.

method UCoS approach that learns a task-dependent score function offline and uses affine transformations to derive the conditional score.

result UCoS eliminates the need for forward model evaluations during sampling, making it more efficient.

Score-based models Bayesian inverse problems Linear inverse problems Unconditional score Infinite-dimensional

2024-05-24abs ↗pdf ↗

Score-based diffusion models for diffuse optical tomography with uncertainty quantificationstat.ML

Score-based models improve diffuse optical tomography accuracy.

problem Improving accuracy in diffuse optical tomography with uncertainty quantification.

method Score-based diffusion models with a mixed score function to prevent overfitting.

result Data-driven prior distribution results in posterior samples with low variance and centred around the ground truth.

diffuse optical tomography score-based models UCoS posterior sampling Bayesian inverse problems

2026-02-03abs ↗pdf ↗