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20182026
most citedGenerative AI

1.3k citations

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11 papers · 1 filter

cs.LG2026★ 2 cited

Uncertainty Quantification in Pairwise Difference Learning for Classification

Mohamed Karim Belaid, Maximilian Rabus, Eyke Hüllermeier

Instead of learning a mapping from instances to outcomes in the standard way, the key idea of pairwise difference learning (PDL) is to learn a function that takes two instances as…

cs.LG2026

MORE-PLR: multi-output regression employed for partial label ranking

Santo M. A. R. Thies, Juan C. Alfaro, Viktor Bengs

The partial label ranking problem is a supervised learning scenario that aims to fit a preference model that predicts a bucket order defined over a set of labels for a given input…

cs.CV2026

3D Segmentation Using Viewpoint-Dependent Spatial Relationships

Ayaka Nanri, Klara Reichard, Mert Kiray +3

Recent advances in 3D datasets and multimodal models have greatly improved natural language 3D scene understanding. However, most 3D referring segmentation methods do not explicitl…

cs.LG2026

bde: A Python Package for Bayesian Deep Ensembles via MILE

Vyron Arvanitis, Angelos Aslanidis, Emanuel Sommer +1

bde is a user-friendly Python package for Bayesian Deep Ensembles with a particular focus on tabular data. Built on an efficient JAX implementation of the sampling-based inference…

cs.HC2026★ 2 cited

What Shapes Participant Data Quality? A Scoping Review and Case Study of Crowdsourced Webcam Eye Tracking in AI Interviews

Ka Hei Carrie Lau, Enkelejda Kasneci

Webcam-based eye tracking is a cost-effective, scalable method for remote research that effectively reaches broader populations. However, uncontrolled environments and hardware div…

cs.CR2026

Secure Storage and Privacy-Preserving Scanpath Comparison via Garbled Circuits in Eye Tracking

Suleyman Ozdel, Amr Nader, Yasmeen Abdrabou +1

With the growing use of eye tracking on VR and mobile platforms, gaze data is increasing. While scanpath comparison is important to gaze behavior analysis, existing methods lack pr…

cs.CV2026

ConVibNet: Needle Detection during Continuous Insertion via Frequency-Inspired Features

Jiamei Guo, Zhehao Duan, Maria Neiiendam +3

Purpose: Ultrasound-guided needle interventions are widely used in clinical practice, but their success critically depends on accurate needle placement, which is frequently hindere…

math.NA2026

Refined rates of convergence for target-data dependent greedy generalized interpolation with Sobolev kernels

Bernard Haasdonk, Gabriele Santin, Tizian Wenzel +1

Greedy methods have recently been successfully applied to generalized kernel interpolation, or the recovery of a function from data stemming from the evaluation of linear functiona…

cs.DL2026★ 1 cited

Overcoming Barriers to Computational Reproducibility

Roman Hornung, László Németh, Oleksandr Zadorozhny +13

Computational reproducibility, the possibility for independent researchers to exactly reproduce published empirical results, is fundamental to science. Despite its importance, the…

stat.ME2026

Unity Forests: Improving Interaction Modelling and Interpretability in Random Forests

Roman Hornung, Alexander Hapfelmeier

Random forests (RFs) are widely used for prediction and variable importance analysis and are often believed to capture any types of interactions via recursive splitting. However, s…

cs.HC2026★ 1 cited

Exploring Organizational Readiness and Ecosystem Coordination for Industrial XR

Hasan Tarik Akbaba, Efe Bozkir, Anna Puhl +2

Extended Reality (XR) offers transformative potential for industrial support, training, and maintenance; yet, widespread adoption lags despite demonstrated occupational value and h…