:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	John, Angela, Allotey, Selvyn, Koebe, Till, Tyukavina, Alexandra, Weber, Ingmar
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2508.11349
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

No one likes it hot, but hotter cities adjust by staying active later
by: Renninger, Andrew, et al.
Published: (2026)

Coverage Biases in High-Resolution Satellite Imagery
by: Musienko, Vadim, et al.
Published: (2025)

A Weak Supervision Learning Approach Towards an Equitable Mobility Estimation
by: Aidoo, Theophilus, et al.
Published: (2025)

Hitchhiking Rides Dataset: Two decades of crowd-sourced records on stochastic traveling
by: Wenke, Till
Published: (2025)

Towards actionable hypotension prediction -- predicting catecholamine therapy initiation in the intensive care unit
by: Koebe, Richard, et al.
Published: (2025)

A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking
by: Alcaraz, Juan Miguel López, et al.
Published: (2026)

OceanForecastBench: A Benchmark Dataset for Data-Driven Global Ocean Forecasting
by: Jia, Haoming, et al.
Published: (2025)

Reply To: Global Gridded Population Datasets Systematically Underrepresent Rural Population by Josias Láng-Ritter et al
by: Koebe, Till, et al.
Published: (2026)

Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study
by: Pekar, Adrian, et al.
Published: (2024)

On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling
by: Harder, Paula, et al.
Published: (2025)

CINDI: Conditional Imputation and Noisy Data Integrity with Flows in Power Grid Data
by: Baumgartner, David, et al.
Published: (2026)

Flowers: A Warp Drive for Neural PDE Solvers
by: Muser, Till, et al.
Published: (2026)

Virtual Fashion Photo-Shoots: Building a Large-Scale Garment-Lookbook Dataset
by: Hauri, Yannick, et al.
Published: (2025)

CrediBench: Building Web-Scale Network Datasets for Information Integrity
by: Kondrup, Emma, et al.
Published: (2025)

Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs
by: Li, Zhengdao, et al.
Published: (2024)

A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentation
by: Zavadski, Denis, et al.
Published: (2025)

DeepFMEA -- A Scalable Framework Harmonizing Process Expertise and Data-Driven PHM
by: Netsch, Christoph, et al.
Published: (2024)

Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition
by: Weber, Tobias, et al.
Published: (2024)

EMA: Effort Metric Attention for Anatomical Effort-Guided Human Motion Diffusion
by: Siy, Joshua, et al.
Published: (2026)

SPARTAN: A Sparse Transformer World Model Attending to What Matters
by: Lei, Anson, et al.
Published: (2024)

DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction
by: Elrefaie, Mohamed, et al.
Published: (2024)

Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
by: Freihaut, Till, et al.
Published: (2025)

Interpreting Black-box Machine Learning Models for High Dimensional Datasets
by: Karim, Md. Rezaul, et al.
Published: (2022)

On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning
by: Freihaut, Till, et al.
Published: (2024)

Logical Grammar Induction via Graph Kolmogorov Complexity: A Neuro-Symbolic Framework for Self-Healing Clinical Data Integrity
by: Zarghani, Abolfazl, et al.
Published: (2026)

Diffusion-Driven Inertial Generated Data for Smartphone Location Classification
by: Cohen, Noa, et al.
Published: (2025)

A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data
by: Guan, Vincent, et al.
Published: (2024)

Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks
by: Tello, Andres, et al.
Published: (2024)

XQCfD: Accelerating Fast Actor-Critic Algorithms with Prior Data and Prior Policies
by: Palenicek, Daniel, et al.
Published: (2026)

Cross-platform Prediction of Depression Treatment Outcome Using Location Sensory Data on Smartphones
by: Sahoo, Soumyashree, et al.
Published: (2025)

Assessing the Feasibility of Early Cancer Detection Using Routine Laboratory Data: An Evaluation of Machine Learning Approaches on an Imbalanced Dataset
by: Li, Shumin
Published: (2025)

Locating disparities in machine learning
by: von Zahn, Moritz, et al.
Published: (2022)

e1: Learning Adaptive Control of Reasoning Effort
by: Kleinman, Michael, et al.
Published: (2025)

Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction
by: Kakadiaris, Alexandra
Published: (2023)

Reward-Free Curricula for Training Robust World Models
by: Rigter, Marc, et al.
Published: (2023)

Complexity-Aware Training of Deep Neural Networks for Optimal Structure Discovery
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2024)

Concurrent Training and Layer Pruning of Deep Neural Networks
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2024)

Shared Global and Local Geometry of Language Model Embeddings
by: Lee, Andrew, et al.
Published: (2025)

WHAR Datasets: An Open Source Library for Wearable Human Activity Recognition
by: Burzer, Maximilian, et al.
Published: (2025)

Representation Integrity in Temporal Graph Learning Methods
by: Kooshafar, Elahe
Published: (2025)