:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wong, Hui Min, Heesen, Philip, Janetzky, Pascal, Bendszus, Martin, Feuerriegel, Stefan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2602.17308
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Continual Learning of Domain-Invariant Representations
by: Janetzky, Pascal, et al.
Published: (2026)

Slowing Down Forgetting in Continual Learning
by: Janetzky, Pascal, et al.
Published: (2024)

ORTHOBO: Orthogonal Bayesian Hyperparameter Optimization
by: Schröder, Maresa, et al.
Published: (2026)

Global Vegetation Modeling with Pre-Trained Weather Transformers
by: Janetzky, Pascal, et al.
Published: (2024)

Supervising the search process produces reliable and generalizable information-seeking agents
by: Xiong, Guangzhi, et al.
Published: (2025)

Analysis of cases with prenatal diagnosis of mosaicism: Indications, methods of prenatal diagnosis, and pregnancy outcome follow‐up
by: Qianzhu Jiang, et al.
Published: (2025)

Generative AI may backfire for counterspeech
by: Bär, Dominik, et al.
Published: (2024)

Partnering with Generative AI: Experimental Evaluation of Human-Led and Model-Led Interaction in Human-AI Co-Creation
by: Maier, Sebastian, et al.
Published: (2025)

Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis
by: Holzner, Niklas, et al.
Published: (2025)

Towards user-centered interactive medical image segmentation in VR with an assistive AI agent
by: Spiegler, Pascal, et al.
Published: (2025)

Comparing the willingness to share for human-generated vs. AI-generated fake news
by: Bashardoust, Amirsiavosh, et al.
Published: (2024)

Stabilized Neural Prediction of Potential Outcomes in Continuous Time
by: Hess, Konstantin, et al.
Published: (2024)

GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes
by: Melnychuk, Valentyn, et al.
Published: (2025)

Prenatal diagnosis of pontocerebellar hypoplasia with postnatal follow‐up
by: Alienor Jaillard, et al.
Published: (2024)

Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring
by: Wang, Yuxin, et al.
Published: (2025)

Changes in information seeking patterns of medical students in the social media and artificial intelligence age: preliminary findings
by: Yasmina Richa, et al.
Published: (2024)

Predicting follow‐up diagnosis of individuals presenting with uncertain sporadic bvFTD diagnosis
by: Sterre C.M. de Boer, et al.
Published: (2025)

Usefulness of photodynamic diagnosis for the follow‐up of non‐surgical extramammary Paget's disease
by: Nerea Mohino‐Farré, et al.
Published: (2024)

Explainable AI improves task performance in human-AI collaboration
by: Senoner, Julian, et al.
Published: (2024)

Towards a conversational information seeking process model: Characterizing mixed‐initiative user–agent interaction
by: Shiting Fu, et al.
Published: (2025)

Health information sources and health‐seeking behaviours of Filipinos living in medically underserved communities: Empirical quantitative research
by: Jennifer Kawi, et al.
Published: (2024)

Generative artificial intelligence–mediated confirmation bias in health information seeking
by: Ezequiel Lopez‐Lopez, et al.
Published: (2025)

Corpus-informed Retrieval Augmented Generation of Clarifying Questions
by: Krasakis, Antonios Minas, et al.
Published: (2024)

Quantifying stability of non-power-seeking in artificial agents
by: Gunter, Evan Ryan, et al.
Published: (2024)

Isolated fetal lymphatic malformation of the thigh: prenatal diagnosis and follow-up
by: Huseyin Durukan
Published: (2017)

Clarify or Answer: Reinforcement Learning for Agentic VQA with Context Under-specification
by: Cao, Zongwan, et al.
Published: (2026)

A meta-analysis of the effect of generative AI on productivity and learning in programming
by: Maier, Sebastian, et al.
Published: (2026)

Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
by: Melnychuk, Valentyn, et al.
Published: (2023)

Designing Effective Digital Literacy Interventions for Boosting Deepfake Discernment
by: Geissler, Dominique, et al.
Published: (2025)

Predicting Startup Success Using Large Language Models: A Novel In-Context Learning Approach
by: Maarouf, Abdurahman, et al.
Published: (2026)

Designing LLMs for cultural sensitivity: Evidence from English-Japanese translation
by: Tenzer, Helene, et al.
Published: (2025)

A Meta-Analysis of the Persuasive Power of Large Language Models
by: Hölbling, Lukas, et al.
Published: (2025)

Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
by: Schröder, Maresa, et al.
Published: (2023)

Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
by: Frauen, Dennis, et al.
Published: (2024)

PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects
by: Schröder, Maresa, et al.
Published: (2025)

The Virality of Hate Speech on Social Media
by: Maarouf, Abdurahman, et al.
Published: (2022)

Differentially Private Learners for Heterogeneous Treatment Effects
by: Schröder, Maresa, et al.
Published: (2025)

A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions
by: Tschernutter, Daniel, et al.
Published: (2024)

DeepBlip: Estimating Conditional Average Treatment Effects Over Time
by: Ma, Haorui, et al.
Published: (2025)

Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
by: Melnychuk, Valentyn, et al.
Published: (2023)