Saved in:
| Main Authors: | Roordink, Daan, Hess, Sibylle |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.14456 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation
by: Singh, Prabhant, et al.
Published: (2025)
by: Singh, Prabhant, et al.
Published: (2025)
Occam's model: Selecting simpler representations for better transferability estimation
by: Singh, Prabhant, et al.
Published: (2025)
by: Singh, Prabhant, et al.
Published: (2025)
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction
by: Sun, Zhe, et al.
Published: (2024)
by: Sun, Zhe, et al.
Published: (2024)
Joint Optimization of Neural Autoregressors via Scoring rules
by: Landsgesell, Jonas
Published: (2026)
by: Landsgesell, Jonas
Published: (2026)
Improving rule mining via embedding-based link prediction
by: Kouagou, N'Dah Jean, et al.
Published: (2024)
by: Kouagou, N'Dah Jean, et al.
Published: (2024)
Building informative materials datasets beyond targeted objectives
by: Castañeda, Rafael Espinosa, et al.
Published: (2026)
by: Castañeda, Rafael Espinosa, et al.
Published: (2026)
Heterogeneous networks in drug-target interaction prediction
by: Molaee, Mohammad, et al.
Published: (2025)
by: Molaee, Mohammad, et al.
Published: (2025)
Improving the accuracy and generalizability of molecular property regression models with a substructure-substitution-rule-informed framework
by: Fan, Xiaoyu, et al.
Published: (2025)
by: Fan, Xiaoyu, et al.
Published: (2025)
Modular Recurrence in Contextual MDPs for Universal Morphology Control
by: Engwegen, Laurens, et al.
Published: (2025)
by: Engwegen, Laurens, et al.
Published: (2025)
Autonomous Prompt Engineering in Large Language Models
by: Kepel, Daan, et al.
Published: (2024)
by: Kepel, Daan, et al.
Published: (2024)
Bridging the AI Trustworthiness Gap between Functions and Norms
by: Di Scala, Daan, et al.
Published: (2025)
by: Di Scala, Daan, et al.
Published: (2025)
From data to design: Random forest regression model for predicting mechanical properties of alloy steel
by: Sinha, Samjukta, et al.
Published: (2025)
by: Sinha, Samjukta, et al.
Published: (2025)
Efficient rule induction by ignoring pointless rules
by: Cropper, Andrew, et al.
Published: (2025)
by: Cropper, Andrew, et al.
Published: (2025)
Multi-view biomedical foundation models for molecule-target and property prediction
by: Suryanarayanan, Parthasarathy, et al.
Published: (2024)
by: Suryanarayanan, Parthasarathy, et al.
Published: (2024)
Partial multivariate transformer as a tool for cryptocurrencies time series prediction
by: Tokajuk, Andrzej, et al.
Published: (2025)
by: Tokajuk, Andrzej, et al.
Published: (2025)
RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection
by: Kilinc, Ozsel, et al.
Published: (2025)
by: Kilinc, Ozsel, et al.
Published: (2025)
"I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation
by: Di Scala, Daan, et al.
Published: (2026)
by: Di Scala, Daan, et al.
Published: (2026)
Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for explaining support vector regression model in terms of root mean square error (RMSE) values
by: Thombre, Amit
Published: (2024)
by: Thombre, Amit
Published: (2024)
Physics-constrained generative machine learning-based high-resolution downscaling of Greenland's surface mass balance and surface temperature
by: Bochow, Nils, et al.
Published: (2025)
by: Bochow, Nils, et al.
Published: (2025)
AutoLabs: Cognitive Multi-Agent Systems with Self-Correction for Autonomous Chemical Experimentation
by: Panapitiya, Gihan, et al.
Published: (2025)
by: Panapitiya, Gihan, et al.
Published: (2025)
Energy Score-based Pseudo-Label Filtering and Adaptive Loss for Imbalanced Semi-supervised SAR target recognition
by: Zhang, Xinzheng, et al.
Published: (2024)
by: Zhang, Xinzheng, et al.
Published: (2024)
Generalisation to unseen topologies: Towards control of biological neural network activity
by: Engwegen, Laurens, et al.
Published: (2024)
by: Engwegen, Laurens, et al.
Published: (2024)
HCAF-DTA: drug-target binding affinity prediction with cross-attention fused hypergraph neural networks
by: Li, Jiannuo, et al.
Published: (2025)
by: Li, Jiannuo, et al.
Published: (2025)
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
by: Nagarajan, Vaishnavh, et al.
Published: (2025)
by: Nagarajan, Vaishnavh, et al.
Published: (2025)
LDTC: Lifelong deep temporal clustering for multivariate time series
by: Wang, Zhi, et al.
Published: (2026)
by: Wang, Zhi, et al.
Published: (2026)
Lookup multivariate Kolmogorov-Arnold Networks
by: Pozdnyakov, Sergey, et al.
Published: (2025)
by: Pozdnyakov, Sergey, et al.
Published: (2025)
From SHAP Scores to Feature Importance Scores
by: Letoffe, Olivier, et al.
Published: (2024)
by: Letoffe, Olivier, et al.
Published: (2024)
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications
by: Ruhe, David, et al.
Published: (2019)
by: Ruhe, David, et al.
Published: (2019)
ScoringBench: A Benchmark for Evaluating Tabular Foundation Models with Proper Scoring Rules
by: Landsgesell, Jonas, et al.
Published: (2026)
by: Landsgesell, Jonas, et al.
Published: (2026)
Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities
by: Sfeir, Georges, et al.
Published: (2025)
by: Sfeir, Georges, et al.
Published: (2025)
Towards efficient deep autoencoders for multivariate time series anomaly detection
by: Pietroń, Marcin, et al.
Published: (2024)
by: Pietroń, Marcin, et al.
Published: (2024)
Autoregressive Score Generation for Multi-trait Essay Scoring
by: Do, Heejin, et al.
Published: (2024)
by: Do, Heejin, et al.
Published: (2024)
Can We Understand Plasticity Through Neural Collapse?
by: Bonifazi, Guglielmo, et al.
Published: (2024)
by: Bonifazi, Guglielmo, et al.
Published: (2024)
How to Benchmark Vision Foundation Models for Semantic Segmentation?
by: Kerssies, Tommie, et al.
Published: (2024)
by: Kerssies, Tommie, et al.
Published: (2024)
First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation
by: Kerssies, Tommie, et al.
Published: (2024)
by: Kerssies, Tommie, et al.
Published: (2024)
Personalized Knowledge Transfer Through Generative AI: Contextualizing Learning to Individual Career Goals
by: Mehlan, Ronja, et al.
Published: (2025)
by: Mehlan, Ronja, et al.
Published: (2025)
Intelligent tutoring systems by Bayesian nets with noisy gates
by: Antonucci, Alessandro, et al.
Published: (2024)
by: Antonucci, Alessandro, et al.
Published: (2024)
Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions
by: Bachmann, Fynn, et al.
Published: (2025)
by: Bachmann, Fynn, et al.
Published: (2025)
Universality of physical neural networks with multivariate nonlinearity
by: Savinson, Benjamin, et al.
Published: (2025)
by: Savinson, Benjamin, et al.
Published: (2025)
Learning to Score
by: Kriger, Yogev, et al.
Published: (2025)
by: Kriger, Yogev, et al.
Published: (2025)
Similar Items
-
How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation
by: Singh, Prabhant, et al.
Published: (2025) -
Occam's model: Selecting simpler representations for better transferability estimation
by: Singh, Prabhant, et al.
Published: (2025) -
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction
by: Sun, Zhe, et al.
Published: (2024) -
Joint Optimization of Neural Autoregressors via Scoring rules
by: Landsgesell, Jonas
Published: (2026) -
Improving rule mining via embedding-based link prediction
by: Kouagou, N'Dah Jean, et al.
Published: (2024)