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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.

168,695 papers · 148 categories

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3 results for “PF-ODE”

Probability-Flow ODE in Infinite-Dimensional Function Spacescs.LG

Derives PF-ODE for infinite-dimensional functions, improving function generation tasks.

problem Efficient inference in infinite-dimensional diffusion models.

method Derives PF-ODE in infinite-dimensional function spaces.

result Reduces function evaluations while maintaining sample quality.

infinite-dimensional diffusion PF-ODE function generation inference acceleration

2025-03-13abs ↗pdf ↗

StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flowstat.ML

StAD predicts divergence of diffusion and flow models without Jacobian computation.

problem Computing likelihood from diffusion and flow models is computationally expensive.

method Introduces StAD, a distillation method to predict divergence using Langevin-Stein operator.

result StAD predicts divergence with competitive variance and speed compared to existing methods.

diffusion models flow models likelihood computation Stein operator Jacobian

2026-05-15abs ↗pdf ↗

Efficient and Unbiased Sampling from Boltzmann Distributions via Variance-Tuned Diffusion Modelscs.LG

VT-DIS improves sampling from Boltzmann distributions with minimal overhead.

problem Bias in Monte Carlo estimates from score-based diffusion models.

method Variance-Tuned Diffusion Importance Sampling (VT-DIS) adapts noise covariance to correct bias.

result VT-DIS achieves effective sample sizes of 80%, 35%, and 3.5% on benchmarks, using less computational budget.

score-based diffusion models Monte Carlo sampling Boltzmann distributions Variance-tuning Importance sampling

2025-05-27abs ↗pdf ↗