17.737.251 hasil
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Preprint Teks lengkap
Beyond Scanpaths: Graph-Based Gaze Simulation in Dynamic Scenes
Accurately modelling human attention is essential for numerous computer vision applications, particularly in the domain of automotive safety. Existing methods typically collapse gaze into saliency maps or scanpaths, treating gaze dynamics only implicitly. We instead formulate gaze modelling as an…
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Preprint Teks lengkap
Design-Based Inference for the AUC with Complex Survey Data
Complex survey data are usually collected following complex sampling designs. Accounting for the sampling design is essential to obtain unbiased estimates and valid inferences when analyzing complex survey data. The area under the receiver operating characteristic curve (AUC) is routinely used to…
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Preprint Teks lengkap
FairGC: Fairness-aware Graph Condensation
Graph condensation (GC) has become a vital strategy for scaling Graph Neural Networks by compressing massive datasets into small, synthetic node sets. While current GC methods effectively maintain predictive accuracy, they are primarily designed for utility and often ignore fairness constraints…
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Preprint Teks lengkap
SFDemorpher: Generalizable Face Demorphing for Operational Morphing Attack Detection
Face morphing attacks compromise biometric security by creating document images that verify against multiple identities, posing significant risks from document issuance to border control. Differential Morphing Attack Detection (D-MAD) offers an effective countermeasure, particularly when employing…
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Preprint Teks lengkap
Data Center Chiller Plant Optimization via Mixed-Integer Nonlinear Differentiable Predictive Control
We present a computationally tractable framework for real-time predictive control of multi-chiller plants that involve both discrete and continuous control decisions coupled through nonlinear dynamics, resulting in a mixed-integer optimal control problem. To address this challenge, we extend…
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Preprint Teks lengkap
LDDMM stochastic interpolants: an application to domain uncertainty quantification in hemodynamics
We introduce a novel conditional stochastic interpolant framework for generative modeling of three-dimensional shapes. The method builds on a recent LDDMM-based registration approach to learn the conditional drift between geometries. By leveraging the resulting pull-back and push-forward operators…
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Preprint Teks lengkap
Towards verifying unsafe Rust programs against Rust's pointer-aliasing restrictions
The Rust programming language is famous for its strong ownership regime: at each point, each value is either exclusively owned, exclusively borrowed through a mutable reference, or borrowed as read-only through one or more shared references. These rules, known as Rust's pointer-aliasing rules, are…
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Preprint Teks lengkap
Physics-Informed Neural Networks for Predicting Hydrogen Sorption in Geological Formations: Thermodynamically Constrained Deep Learning Integrating Classical Adsorption Theory
Accurate prediction of hydrogen sorption in fine-grained geological materials is essential for evaluating underground hydrogen storage capacity, assessing caprock integrity, and characterizing hydrogen migration in subsurface energy systems. Classical isotherm models perform well at the…
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Preprint Teks lengkap
Privacy as Commodity: MFG-RegretNet for Large-Scale Privacy Trading in Federated Learning
Federated Learning (FL) has emerged as a prominent paradigm for privacy-preserving distributed machine learning, yet two fundamental challenges hinder its large-scale adoption. First, gradient inversion attacks can reconstruct sensitive training data from uploaded model updates, so privacy risk…
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Preprint Teks lengkap
Blocking Mesogenesis
Mechanisms of Mesogenesis generate the baryon asymmetry and dark matter of the Universe through late-time decays of Standard Model mesons into baryons and dark matter states. Utilizing the CP violation in the meson systems themselves, the resulting baryon asymmetry is directly controlled by…
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Preprint Teks lengkap
Fostering Design-Policy Collaboration through Contestation: An Adversarial Futuring Method
Emerging technologies introduce sociotechnical tensions that call for closer collaboration between technology design and policy. In this work, we introduce Design-Policy Adversarial Futuring, a scenario-based workshop method that supports design-policy engagement by structuring contestation between…
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Preprint Teks lengkap
Efficient Quantum Algorithm for Robust Training
Adversarial training is a standard defense against malicious input perturbations in security-critical machine-learning systems. Its main burden is structural: before every parameter update, the current model must first be attacked to find a new adversarial perturbation, making training increasingly…
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Preprint Teks lengkap
Integrating Multimodal Large Language Model Knowledge into Amodal Completion
With the widespread adoption of autonomous vehicles and robotics, amodal completion, which reconstructs the occluded parts of people and objects in an image, has become increasingly crucial. Just as humans infer hidden regions based on prior experience and common sense, this task inherently…
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Preprint Teks lengkap
Key-Embedded Privacy for Decentralized AI in Biomedical Omics
The rapid adoption of data-driven methods in biomedicine has intensified concerns over privacy, governance, and regulation, limiting raw data sharing and hindering the assembly of representative cohorts for clinically relevant AI. This landscape necessitates practical, efficient privacy solutions…
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Preprint Teks lengkap
Users and Wizards in Conversations: How WoZ Interface Choices Define Human-Robot Interactions
In this paper, we investigated how the choice of a Wizard-of-Oz (WoZ) interface affects communication with a robot from both the user's and the wizard's perspective. In a conversational setting, we used three WoZ interfaces with varying levels of dialogue input and output restrictions: a) a…
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Preprint Teks lengkap
Animated Public Furniture as an Interaction Mediator: Engaging Passersby In-the-Wild with Robotic Benches
Urban HCI investigates how digital technologies shape human behaviour within the social, spatial, temporal dynamics of public space. Meanwhile, robotic furniture research demonstrates how the purposeful animation of mundane utilitarian elements can influence human behaviour in everyday contexts…
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Preprint Teks lengkap
Energy dissipation rates of ensemble eddy viscosity models of turbulence: the periodic box
Classical eddy viscosity models of turbulence add an eddy viscosity term based on the Kolmogorov-Prandtl parameterization by a turbulent length scale $l$ and a turbulent kinetic energy $k^{\prime }$. Approximations of the unknowns $l,k^{\prime }$ are typically constructed by solving multi-parameter…
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Preprint Teks lengkap
Non-existence of abelian maximal subgroups in cyclic division algebras
We prove that no cyclic division algebra (in the sense of Dickson) admits an abelian maximal subgroup in its multiplicative group. This settles a special case of a long-standing conjecture of Akbari--Mahdavi-Hezavehi--Mahmudi and complements earlier results on locally nilpotent maximal subgroups…
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Preprint Teks lengkap
Towards Analyzing Formic Acid Using Classical and Quantum Methods
Catalytic carbon fixation to formic acid is important for studying the reduction of carbon footprint and the emergence of life. Can discrete quantum exhaustive search merged with other methods help reduce the carbon footprint? We suggest merging quantum, quantum inspired, and classical tools for a…
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Preprint Teks lengkap
Interpretable models for forecasting high-dimensional functional time series
We study the modeling and forecasting of high-dimensional functional time series, which can be temporally dependent and cross-sectionally correlated. We implement a functional analysis of variance (FANOVA) to decompose high-dimensional functional time series, such as subnational age- and…
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