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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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5 results for “SIREN”

Towards Reliable LLM Evaluation: Correcting the Winner's Curse in Adaptive Benchmarkingstat.ML

SIREN protocol corrects optimistic winner's scores in LLM evaluation.

problem Optimistic winner's scores in LLM evaluation due to adaptive benchmarking.

method SIREN protocol that freezes post-search shortlist, separates selection and evaluation, and uses bootstrap for uncertainty quantification.

result SIREN provides valid confidence intervals for procedure-performance curves and deployment conclusions.

LLM evaluation adaptive benchmarking winner's curse selection-aware Gaussian multiplier bootstrap

2026-05-07abs ↗pdf ↗

MADS: Modulated Auto-Decoding SIREN for time series imputationstat.ML

MADS improves time series imputation performance across real-world datasets.

problem Time series imputation challenges due to variability in data types.

method MADS uses SIRENs for high-fidelity signal reconstruction and a hypernetwork for generalization.

result MADS outperforms state-of-the-art methods on real-world datasets.

time series imputation deep learning SIREN auto-decoding neural networks

2023-07-03abs ↗pdf ↗

A Resolution Independent Neural Operatorcs.LG

RI-DeepONet learns neural operators from arbitrary sensor data.

problem Discretization of input functions limits practical applications of DeepONet.

method Introduces RI-DeepONet and two dictionary learning algorithms for INRs.

result RINO handles arbitrary sensor data robustly and applies to various problems.

DeepONet resolution independence neural operator dictionary learning INR

2024-07-17abs ↗pdf ↗

Sound Event Recognition in a Smart City Surveillance Contextcs.SD

Due to the growing demand for improving surveillance capabilities in smart cities, systems need to be developed to provide better monitoring capabilities to competent authorities, agencies responsible for strategic resource management, and emergency call centers. This work assumes that, as a complementary monitoring so…

2019-10-27abs ↗pdf ↗

SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networkscs.LG

Extends VAEs to handle complex Bayesian network structures.

problem Handling complex dependency structures in Bayesian networks.

method Extends VAEs with graphical residual flows to model arbitrary dependency structures.

result Demonstrates improved performance on synthetic datasets.

Bayesian networks Variational autoencoders Normalizing flows Graphical residual flows Conditional independence

2022-04-23abs ↗pdf ↗