#sensitivity analysis

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7 papers match

cs.GT2026

Sensitivity and Differential Privacy in Metric Voting with Distortion below Three

Shinsaku Sakaue, Kaito Fujii, Soh Kumabe +1

The paper proposes randomized voting rules that achieve a metric distortion slightly below three while maintaining low worst‑case sensitivity and providing approximate differential…

#metric voting#distortion#differential privacy#sensitivity analysis
astro-ph.IM2026

Assessing the Impact of Instrumental Requirements on the Scientific Performance of the Einstein Telescope

Ulyana Dupletsa, Francesco Iacovelli, Mikhail Korobko +23

The paper evaluates how different design choices and noise characteristics of the Einstein Telescope affect its ability to detect and analyze various gravitational‑wave sources, us…

#einstein telescope#instrumental requirements#noise budget#compact binary coalescence
cs.AI2026

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios

Athanasios Vlontzos, Giorgos Papanastasiou, Bernhard Kainz +1

The paper proposes the Normalised Sensitivity Ratio (NSR), a post‑hoc, model‑agnostic method to distinguish causal from spurious features by comparing model sensitivity across envi…

#causal feature identification#post-hoc analysis#sensitivity analysis#domain shift
cs.LG2026

Saturation Makes Quantization Error Additive: A Coverage Model with a Certificate

Joshua Hill

The paper demonstrates that for 4‑bit mixed‑precision quantization, the loss from quantizing a set of layers is largely additive across individual layers, and introduces a simple c…

#mixed-precision quantization#model compression#sensitivity analysis#coverage model
stat.ME2026

Omitted variable bias sensitivity analysis with clustered treatment assignment

Anton Strezhnev

The paper examines how sensitivity analysis for omitted variable bias in linear regressions can give different results when treatment is clustered, and proposes corrections that al…

#omitted variable bias#sensitivity analysis#clustered treatment#linear regression
eess.SY2026

Multiple Vehicles and Traction Network Interaction System Stability Analysis and Oscillation Responsibility Identification

Xiangyu Meng, Qiao Zhang, Zhigang Liu +3

The paper presents a modeling approach that uses measured impedances to analyze stability and identify critical railway vehicles causing oscillations in the traction network, along…

#railway vehicle-grid interaction#system stability#impedance modeling#sensitivity analysis