Saved in:
| Main Authors: | Tauberschmidt, Jan, Fellenz, Sophie, Vollmer, Sebastian J., Duncan, Andrew B. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.09156 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
by: Wang, Zhangyu, et al.
Published: (2024)
by: Wang, Zhangyu, et al.
Published: (2024)
Conformal Safety Monitoring for Flight Testing: A Case Study in Data-Driven Safety Learning
by: Feldman, Aaron O., et al.
Published: (2025)
by: Feldman, Aaron O., et al.
Published: (2025)
KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
by: Brown, Zachary C., et al.
Published: (2025)
by: Brown, Zachary C., et al.
Published: (2025)
Generating Synthetic Relational Tabular Data via Structural Causal Models
by: Hoppe, Frederik, et al.
Published: (2025)
by: Hoppe, Frederik, et al.
Published: (2025)
Applying Time Series Deep Learning Models to Forecast the Growth of Perennial Ryegrass in Ireland
by: Onibonoje, Oluwadurotimi, et al.
Published: (2025)
by: Onibonoje, Oluwadurotimi, et al.
Published: (2025)
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction
by: Tosaki, Taisei, et al.
Published: (2024)
by: Tosaki, Taisei, et al.
Published: (2024)
A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
by: Olivares, Kin G., et al.
Published: (2025)
by: Olivares, Kin G., et al.
Published: (2025)
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
by: Chen, Lizhang, et al.
Published: (2023)
by: Chen, Lizhang, et al.
Published: (2023)
General Uncertainty Estimation with Delta Variances
by: Schmitt, Simon, et al.
Published: (2025)
by: Schmitt, Simon, et al.
Published: (2025)
Feature Group Tabular Transformer: A Novel Approach to Traffic Crash Modeling and Causality Analysis
by: Lares, Oscar, et al.
Published: (2024)
by: Lares, Oscar, et al.
Published: (2024)
Beyond Words: How Large Language Models Perform in Quantitative Management Problem-Solving
by: Kuzmanko, Jonathan
Published: (2025)
by: Kuzmanko, Jonathan
Published: (2025)
How Should We Represent History in Interpretable Models of Clinical Policies?
by: Matsson, Anton, et al.
Published: (2024)
by: Matsson, Anton, et al.
Published: (2024)
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
by: Zhang, Hanyu, et al.
Published: (2024)
by: Zhang, Hanyu, et al.
Published: (2024)
Detecting Structural Heart Disease from Electrocardiograms via a Generalized Additive Model of Interpretable Foundation-Model Predictors
by: Zhou, Ya, et al.
Published: (2026)
by: Zhou, Ya, et al.
Published: (2026)
Tackling Copyright Issues in AI Image Generation Through Originality Estimation and Genericization
by: Chiba-Okabe, Hiroaki, et al.
Published: (2024)
by: Chiba-Okabe, Hiroaki, et al.
Published: (2024)
PISA: An AI Pipeline for Interpretable-by-design Survival Analysis Providing Multiple Complexity-Accuracy Trade-off Models
by: Schlender, Thalea, et al.
Published: (2025)
by: Schlender, Thalea, et al.
Published: (2025)
Language Models as Causal Effect Generators
by: Bynum, Lucius E. J., et al.
Published: (2024)
by: Bynum, Lucius E. J., et al.
Published: (2024)
Personalization of Large Foundation Models for Health Interventions
by: Konigorski, Stefan, et al.
Published: (2026)
by: Konigorski, Stefan, et al.
Published: (2026)
Explainability of Complex AI Models with Correlation Impact Ratio
by: Sengupta, Poushali, et al.
Published: (2026)
by: Sengupta, Poushali, et al.
Published: (2026)
Efficient Prediction of Pass@k Scaling in Large Language Models
by: Kazdan, Joshua, et al.
Published: (2025)
by: Kazdan, Joshua, et al.
Published: (2025)
Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling
by: Merizzi, Fabio, et al.
Published: (2025)
by: Merizzi, Fabio, et al.
Published: (2025)
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
by: Gao, Jiaxin, et al.
Published: (2024)
by: Gao, Jiaxin, et al.
Published: (2024)
Assessing the Operational Viability of Foundation Models for Time Series Forecasting
by: Soni, Kavin, et al.
Published: (2026)
by: Soni, Kavin, et al.
Published: (2026)
Neural Networks with LSTM and GRU in Modeling Active Fires in the Amazon
by: Tavares, Ramon, et al.
Published: (2024)
by: Tavares, Ramon, et al.
Published: (2024)
Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach
by: Ferstad, Johannes O., et al.
Published: (2024)
by: Ferstad, Johannes O., et al.
Published: (2024)
Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting
by: Ehsani, Sina, et al.
Published: (2024)
by: Ehsani, Sina, et al.
Published: (2024)
Bridging Performance Gaps for ECG Foundation Models: A Post-Training Strategy
by: Zhou, Ya, et al.
Published: (2025)
by: Zhou, Ya, et al.
Published: (2025)
Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
by: Zhang, Weijia, et al.
Published: (2024)
by: Zhang, Weijia, et al.
Published: (2024)
Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024
by: Sharma, Ujjawal, et al.
Published: (2024)
by: Sharma, Ujjawal, et al.
Published: (2024)
Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques
by: Park, Yoon Tae, et al.
Published: (2024)
by: Park, Yoon Tae, et al.
Published: (2024)
Estimating Item Difficulty with Large Language Models as Experts
by: Kolesnikova, Diana, et al.
Published: (2026)
by: Kolesnikova, Diana, et al.
Published: (2026)
Analyzing the Impact of Climate Change With Major Emphasis on Pollution: A Comparative Study of ML and Statistical Models in Time Series Data
by: Mishra, Anurag, et al.
Published: (2024)
by: Mishra, Anurag, et al.
Published: (2024)
Enhancing Data Efficiency and Feature Identification for Lithium-Ion Battery Lifespan Prediction by Deciphering Interpretation of Temporal Patterns and Cyclic Variability Using Attention-Based Models
by: Lee, Jaewook, et al.
Published: (2023)
by: Lee, Jaewook, et al.
Published: (2023)
Fairboard: a quantitative framework for equity assessment of healthcare models
by: Ruffle, James K., et al.
Published: (2026)
by: Ruffle, James K., et al.
Published: (2026)
ConfHit: Conformal Generative Design with Oracle Free Guarantees
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
by: Jin, Jikai, et al.
Published: (2023)
by: Jin, Jikai, et al.
Published: (2023)
Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning
by: Yang, Yu, et al.
Published: (2026)
by: Yang, Yu, et al.
Published: (2026)
Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length
by: Xu, Zhiyu, et al.
Published: (2025)
by: Xu, Zhiyu, et al.
Published: (2025)
Causal Machine Learning for Surgical Interventions
by: Tamo, J. Ben, et al.
Published: (2025)
by: Tamo, J. Ben, et al.
Published: (2025)
Similar Items
-
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
by: Wang, Zhangyu, et al.
Published: (2024) -
Conformal Safety Monitoring for Flight Testing: A Case Study in Data-Driven Safety Learning
by: Feldman, Aaron O., et al.
Published: (2025) -
KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching
by: Laghuvarapu, Siddhartha, et al.
Published: (2026) -
Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
by: Brown, Zachary C., et al.
Published: (2025) -
Generating Synthetic Relational Tabular Data via Structural Causal Models
by: Hoppe, Frederik, et al.
Published: (2025)