Nadja Klein

4 papers · 2024–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

JMLR (1) RSS (1) UAI (1) WACV (1)

Top co-authors

Christian Wirth (2) Adrian Paschke (1) Kumar Manas (1) Sibylle Itzerott (1) Maximilian Kertel (1) Yertay Yeskaliyev (1) Moussa Kassem-Sbeyti (1) Martin Herold (1) Timo Kunzmann (1) Michelle Karg (1)

Research topics

Artificial Intelligence (3) Core AI (3) Computer Vision (2) Machine Learning (2) Domain-Specific (2) Optimization & Theory (2) Analysis (1) Core Methods (1) Learning Types (1) Processing (1)

Keywords

uncertainty quantification (2) causal discovery (1) object detection (1) autonomous driving (1) trajectory prediction (1) multispectral imaging (1) instance segmentation (1) gaussian process (1) gradient descent (1) cost-sensitive learning (1) boosting algorithm (1) structural equation model (1) additive model (1) high-dimensional data (1) aleatoric uncertainty (1) heteroscedastic regression (1) causal ordering (1) uav imagery (1) weed detection (1) crop segmentation (1)

Papers

Boosting Causal Additive Models JMLR 2025 Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification RSS 2025 WeedsGalore: A Multispectral and Multitemporal UAV-Based Dataset for Crop and Weed Segmentation in Agricultural Maize Fields WACV 2025 Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection UAI 2024