On-device research index

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.

168,695 papers · 148 categories

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6 results for “density-preserving”

Quasimorphisms on the group of density preserving diffeomorphisms of the Möbius bandmath.GT

The paper studies quasimorphisms on density-preserving diffeomorphisms of the Möbius band.

problem Exploring quasimorphisms on groups of diffeomorphisms of non-orientable manifolds.

method Investigates the group of density-preserving diffeomorphisms on the Möbius band and shows the existence of unbounded quasimorphisms.

result The group of density-preserving diffeomorphisms on the Möbius band admits countably many unbounded quasimorphisms.

quasimorphisms density-preserving Möbius band non-orientable weakly contractible

2024-12-24abs ↗pdf ↗

Preserving local densities in low-dimensional embeddingscs.LG

dtSNE preserves local densities in low-dimensional embeddings.

problem Local density differences are not accurately preserved in tSNE and UMAP.

method dtSNE, which approximately conserves local densities.

result dtSNE provides more accurate local density depictions.

dtSNE local densities tSNE UMAP density preservation

2023-01-31abs ↗pdf ↗

An Adaptive Lagrangian B-Spline Framework for Point Cloud Manifold Evolutionmath.NA

A new method evolves point clouds using B-splines for smooth surfaces.

problem Evolution of smooth surfaces from discrete point clouds.

method Adaptive Lagrangian B-spline framework for geometric evolution.

result Efficient and accurate reproduction of surface evolution phenomena.

B-spline point cloud surface evolution adaptive knot insertion geometric invariants

2026-01-16abs ↗pdf ↗

Identifiable Shared Component Analysis of Unpaired Multimodal Mixturescs.LG

New method identifies shared components from unpaired multimodal mixtures.

problem Identify shared components from unpaired multimodal mixtures.

method Distribution divergence minimization-based loss with sufficient conditions for identifiability.

result Sufficient conditions for shared component identifiability from unaligned multimodal mixtures.

shared components multimodal learning distribution divergence identifiability unpaired data

2024-09-28abs ↗pdf ↗

Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flowshep-ph

A method for profiling systematic uncertainties in SBI using Factorizable Normalizing Flows.

problem Computational cost and limited applicability of current SBI methods for realistic analyses.

method Simulation-Based Inference with Factorizable Normalizing Flows to model systematic variations.

result Efficient profiling of nuisance parameters and multivariate DoI in complex analyses.

Simulation-Based Inference Systematic Uncertainties Factorizable Normalizing Flows Unbinned Likelihood Fits Machine Learning

2026-02-13abs ↗pdf ↗

Nonreversible Gauge Fields in Fokker--Planck Dynamics: Supersymmetric Hamiltonians and Learned Finite Forcescond-mat.dis-nn

New gauge fields modify Fokker-Planck dynamics without changing the stationary state.

problem Understanding and modifying nonreversible dynamics in Fokker-Planck models.

method Formulate nonreversible perturbations as gauge fields, mapping to supersymmetric Hamiltonians, and learning finite forces.

result Learned finite forces can recover the optimal Lyapunov-equation solution in nonconvex landscapes.

Fokker-Planck dynamics nonreversible perturbations supersymmetric Hamiltonians gauge fields finite forces

2026-06-04abs ↗pdf ↗