Blog
IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval
Online community platforms require dynamic personalized retrieval and recommendation that can continuously adapt to evolving user interests and new documents. Jedoch, optimizing models to handle such changes in real-time remains a major challenge in large-scale industrial settings. Um dies anzugehen, we propose...
Permeation and thermal desorption model of hydrogen in steel: a sensitivity analysis
This work presents a fully physical model of the hydrogen diffusion and trapping kinetics in metals, integrating permeation and thermal desorption within a unified framework. Based on the McNabb and Foster approach, it requires only binding energy and number density of trap...
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
The lack of generalization in learning-based autonomous driving applications is shown by the narrow range of road scenarios that vehicles can currently cover. A generalizable approach should capture many distinct road structures and topologies, as well as consider traffic participants, and dynamic...
Dynamic Membership for Regular Tree Languages
We study the dynamic membership problem for regular tree languages under relabeling updates: we fix an alphabet ${\Sigma}$ and a regular tree language $L$ over ${\Sigma}$ (expressed, z.B., as a tree automaton), we are given a tree $T$ with labels in ${\Sigma}$,...
Long-time asymptotics of the Sawada-Kotera equation on the line
The Sawada-Kotera (SK) equation is an integrable system characterized by a third-order Lax operator and is related to the modified Sawada-Kotera (mSK) equation through a Miura transformation. This work formulates the Riemann-Hilbert problem associated with the SK and mSK equations by using...
SimFLEX: a methodology for comparative analysis of urban areas for implementing new on-demand feeder bus services
On-demand feeder bus services present an innovative solution to urban mobility challenges, yet their success depends on thorough assessment and strategic planning. Despite their potential, a comprehensive framework for evaluating feasibility and identifying suitable service areas remains underdeveloped. Simulation Framework for Feeder...
An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm
The recent global spread of monkeypox, particularly in regions where it has not historically been prevalent, has raised significant public health concerns. Early and accurate diagnosis is critical for effective disease management and control. In response, this study proposes a novel deep...
Knapsack with compactness: a semidefinite approach
The min-knapsack problem with compactness constraints extends the classical knapsack problem, in the case of ordered items, by introducing a restriction ensuring that they cannot be too far apart. This problem has applications in statistics, particularly in the detection of change-points in...
Auditing the Ethical Logic of Generative AI Models
As generative AI models become increasingly integrated into high-stakes domains, the need for robust methods to evaluate their ethical reasoning becomes increasingly important. This paper introduces a five-dimensional audit model — assessing Analytic Quality, Breadth of Ethical Considerations, Depth of Explanation, Consistency,...
An introduction to R package `mvs`
In biomedical science, a set of objects or persons can often be described by multiple distinct sets of features obtained from different data sources or modalities (called “multi-view data”). Classical machine learning methods ignore the multi-view structure of such data, limiting model...