Papers Sensitivity
“Sensitivity” 태그가 달린 논문 2,016편 · 필터 해제
A Framework for Waterfall Pricing Using Simulation-Based Uncertainty Modeling
We present a novel framework for pricing waterfall structures by simulating the uncertainty of the cashflow generated by the underlying assets in terms of value, time, and confidence levels. Our approach incorporates var…
Computational EfficiencySensitivityGenerative Latent Kernel Modeling for Blind Motion Deblurring
Deep prior-based approaches have demonstrated remarkable success in blind motion deblurring (BMD) recently. These methods, however, are often limited by the high non-convexity of the underlying optimization process in BM…
DeblurringGenerative Adversarial NetworkSensitivityGANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models
This work introduces a novel framework for brain tumor segmentation leveraging pre-trained GANs and Unet architectures. By combining a global anomaly detection module with a refined mask generation network, the proposed …
Anomaly DetectionBrain Tumor SegmentationImage AugmentationSensitivity+1Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding
The hardness of learning a function that attains a target task relates to its input-sensitivity. For example, image classification tasks are input-insensitive as minor corruptions should not affect the classification res…
Decoderimage-classificationImage ClassificationSensitivityNoise-Tolerant Hybrid Approach for Data-Driven Predictive Control
This paper focuses on a key challenge in hybrid data-driven predictive control: the effect of measurement noise on Hankel matrices. While noise is handled in direct and indirect methods, hybrid approaches often overlook …
SensitivityPredicting Readiness to Engage in Psychotherapy of People with Chronic Pain Based on their Pain-Related Narratives Saar
Background. Chronic pain afflicts 20 % of the global population. A strictly biomedical mind-set leaves many sufferers chasing somatic cures and has fuelled the opioid crisis. The biopsychosocial model recognises pain sub…
Large Language ModelSensitivitySentenceSpecificityEnhancing Biosecurity in Tamper-Resistant Large Language Models With Quantum Gradient Descent
This paper introduces a tamper-resistant framework for large language models (LLMs) in medical applications, utilizing quantum gradient descent (QGD) to detect malicious parameter modifications in real time. Integrated i…
Question AnsweringSensitivitySimulation-Based Sensitivity Analysis in Optimal Treatment Regimes and Causal Decomposition with Individualized Interventions
Causal decomposition analysis aims to assess the effect of modifying risk factors on reducing social disparities in outcomes. Recently, this analysis has incorporated individual characteristics when modifying risk factor…
BenchmarkingSensitivityRe-Evaluating Code LLM Benchmarks Under Semantic Mutation
In the era of large language models (LLMs), code benchmarks have become an important research area in software engineering and are widely used by practitioners. These benchmarks evaluate the performance of LLMs on specif…
SensitivityOn the input admittance of a universal power synchronization controller with droop controllers
Recent work has proposed a universal framework that integrates the well-established power synchronization control into vector current control. Using this controller for the parallel operation of grid-forming converters, …
SensitivityProportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
Generative Adversarial Networks (GAN) have shown potential in expanding limited medical imaging datasets. This study explores how different ratios of GAN-generated and real brain tumor MRI images impact the performance o…
Brain Tumor ClassificationGenerative Adversarial NetworkSensitivityHow does online shopping affect offline price sensitivity?
The rapid rise of e-commerce has transformed consumer behavior, prompting questions about how online adoption influences offline shopping. We examine whether consumers who adopt online shopping with a retailer become mor…
counterfactualSensitivityModeling Transmission Dynamics of Tuberculosis: Parameter Estimation and Sensitivity Analysis Using Real-World Data
Tuberculosis (TB) continues to pose a major public health challenge, particularly in high-burden regions such as Ethiopia, necessitating a more profound understanding of its transmission dynamics. In this study, we devel…
parameter estimationSensitivityA Survey on Imitation Learning for Contact-Rich Tasks in Robotics
This paper comprehensively surveys research trends in imitation learning for contact-rich robotic tasks. Contact-rich tasks, which require complex physical interactions with the environment, represent a central challenge…
Contact-rich ManipulationImitation LearningSensitivityEffect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes
Functional ANOVA (FANOVA) is a widely used variance-based sensitivity analysis tool. However, studies on functional-output FANOVA remain relatively scarce, especially for black-box computer experiments, which often invol…
Gaussian ProcessesSensitivityEvaluating Sensitivity Parameters in Smartphone-Based Gaze Estimation: A Comparative Study of Appearance-Based and Infrared Eye Trackers
This study evaluates a smartphone-based, deep-learning eye-tracking algorithm by comparing its performance against a commercial infrared-based eye tracker, the Tobii Pro Nano. The aim is to investigate the feasibility of…
Deep LearningGaze EstimationSensitivityLaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation
Automation of analog topology design is crucial due to customized requirements of modern applications with heavily manual engineering efforts. The state-of-the-art work applies a sequence-to-sequence approach and supervi…
Language ModelingLanguage ModellingSensitivityEtiCor++: Towards Understanding Etiquettical Bias in LLMs
In recent years, researchers have started analyzing the cultural sensitivity of LLMs. In this respect, Etiquettes have been an active area of research. Etiquettes are region-specific and are an essential part of the cult…
SensitivityDifferentially Private Relational Learning with Entity-level Privacy Guarantees
Learning with relational and network-structured data is increasingly vital in sensitive domains where protecting the privacy of individual entities is paramount. Differential Privacy (DP) offers a principled approach for…
Relational ReasoningSensitivityFragility in Average Treatment Effect on the Treated under Limited Covariate Support
This paper studies the identification of the average treatment effect on the treated (ATT) under unconfoundedness when covariate overlap is partial. A formal diagnostic is proposed to characterize empirical support -- th…
DiagnosticSensitivity