Saved in:
| Main Authors: | Jahanshahi, Hadi, Zhu, Zheng H. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.16815 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks
by: Muhammad, Sajan, et al.
Published: (2025)
by: Muhammad, Sajan, et al.
Published: (2025)
Uncertainty Quantification for Scientific Machine Learning using Sparse Variational Gaussian Process Kolmogorov-Arnold Networks (SVGP KAN)
by: Ju, Y. Sungtaek
Published: (2025)
by: Ju, Y. Sungtaek
Published: (2025)
JANUS: Structured Bidirectional Generation for Guaranteed Constraints and Analytical Uncertainty
by: Racicot, Taha
Published: (2026)
by: Racicot, Taha
Published: (2026)
Bayesian Optimization in Linear Time
by: Schneider, Jesse, et al.
Published: (2026)
by: Schneider, Jesse, et al.
Published: (2026)
TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
by: Hsu, Shang-Ling, et al.
Published: (2024)
by: Hsu, Shang-Ling, et al.
Published: (2024)
SmallML: Bayesian Transfer Learning for Small-Data Predictive Analytics
by: Leontev, Semen
Published: (2025)
by: Leontev, Semen
Published: (2025)
How Does the Pretraining Distribution Shape In-Context Learning? Task Selection, Generalization, and Robustness
by: Azizian, Waïss, et al.
Published: (2025)
by: Azizian, Waïss, et al.
Published: (2025)
Enhanced Random Subspace Local Projections for High-Dimensional Time Series Analysis
by: Khalid, Eman, et al.
Published: (2026)
by: Khalid, Eman, et al.
Published: (2026)
HAPEns: Hardware-Aware Post-Hoc Ensembling for Tabular Data
by: Maier, Jannis, et al.
Published: (2026)
by: Maier, Jannis, et al.
Published: (2026)
Blind-Spot Mass: A Good-Turing Framework for Quantifying Deployment Coverage Risk in Machine Learning Systems
by: Pal, Biplab, et al.
Published: (2026)
by: Pal, Biplab, et al.
Published: (2026)
The Role of Causal Features in Strategic Classification for Robustness and Alignment
by: Gois, Antonio, et al.
Published: (2026)
by: Gois, Antonio, et al.
Published: (2026)
Bayesian Hierarchical Probabilistic Forecasting of Intraday Electricity Prices
by: Nickelsen, Daniel, et al.
Published: (2024)
by: Nickelsen, Daniel, et al.
Published: (2024)
From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation
by: Fang, Junyi, et al.
Published: (2025)
by: Fang, Junyi, et al.
Published: (2025)
Improving ML Training Data with Gold-Standard Quality Metrics
by: Barrett, Leslie, et al.
Published: (2025)
by: Barrett, Leslie, et al.
Published: (2025)
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
by: Gendron, Gaël, et al.
Published: (2024)
by: Gendron, Gaël, et al.
Published: (2024)
Front-door Reducibility: Reducing ADMGs to the Standard Front-door Setting via a Graphical Criterion
by: Mao, Jianqiao, et al.
Published: (2025)
by: Mao, Jianqiao, et al.
Published: (2025)
A Hybrid Model for Stock Market Forecasting: Integrating News Sentiment and Time Series Data with Graph Neural Networks
by: Sadek, Nader, et al.
Published: (2025)
by: Sadek, Nader, et al.
Published: (2025)
Off-policy Evaluation with Deeply-abstracted States
by: Hao, Meiling, et al.
Published: (2024)
by: Hao, Meiling, et al.
Published: (2024)
Variational Search Distributions
by: Steinberg, Daniel M., et al.
Published: (2024)
by: Steinberg, Daniel M., et al.
Published: (2024)
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
by: Quaedvlieg, Lars C. P. M.
Published: (2025)
by: Quaedvlieg, Lars C. P. M.
Published: (2025)
Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting
by: Krajewska, Antonina, et al.
Published: (2024)
by: Krajewska, Antonina, et al.
Published: (2024)
Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study
by: Gabriel, Franck, et al.
Published: (2025)
by: Gabriel, Franck, et al.
Published: (2025)
A Survey of Methods, Challenges and Perspectives in Causality
by: Gendron, Gaël, et al.
Published: (2023)
by: Gendron, Gaël, et al.
Published: (2023)
Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection
by: Williamson, Dane, et al.
Published: (2025)
by: Williamson, Dane, et al.
Published: (2025)
Aggregating Direct and Indirect Neighbors through Graph Linear Transformations
by: Rosenhoover, Marshall, et al.
Published: (2025)
by: Rosenhoover, Marshall, et al.
Published: (2025)
Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes
by: Uehara, Eichi
Published: (2026)
by: Uehara, Eichi
Published: (2026)
MINERVA: Mutual Information Neural Estimation for Supervised Feature Selection
by: Muvunza, Taurai, et al.
Published: (2025)
by: Muvunza, Taurai, et al.
Published: (2025)
Scalable and Interpretable Scientific Discovery via Sparse Variational Gaussian Process Kolmogorov-Arnold Networks (SVGP KAN)
by: Ju, Y. Sungtaek
Published: (2025)
by: Ju, Y. Sungtaek
Published: (2025)
Sinusoidal Initialization, Time for a New Start
by: Fernández-Hernández, Alberto, et al.
Published: (2025)
by: Fernández-Hernández, Alberto, et al.
Published: (2025)
Closing the Curvature Gap: Full Transformer Hessians and Their Implications for Scaling Laws
by: Petrov, Egor, et al.
Published: (2025)
by: Petrov, Egor, et al.
Published: (2025)
Differentiable Stochastic Traffic Dynamics: Physics-Informed Generative Modelling in Transportation
by: Xin, Wuping
Published: (2026)
by: Xin, Wuping
Published: (2026)
Bandwidth Selectors on Semiparametric Bayesian Networks
by: Alejandre, Victor, et al.
Published: (2025)
by: Alejandre, Victor, et al.
Published: (2025)
Neural Green's Operators for Parametric Partial Differential Equations
by: Melchers, Hugo, et al.
Published: (2024)
by: Melchers, Hugo, et al.
Published: (2024)
The Reasoning-Creativity Trade-off: Toward Creativity-Driven Problem Solving
by: Luyten, Max Ruiz, et al.
Published: (2026)
by: Luyten, Max Ruiz, et al.
Published: (2026)
RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting
by: Lv, Haochen, et al.
Published: (2025)
by: Lv, Haochen, et al.
Published: (2025)
Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting
by: Lettner, Jan Niklas, et al.
Published: (2026)
by: Lettner, Jan Niklas, et al.
Published: (2026)
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
by: Magnani, Emilia, et al.
Published: (2024)
by: Magnani, Emilia, et al.
Published: (2024)
Uncertainty Quantification for Reduced-Order Surrogate Models Applied to Cloud Microphysics
by: Katona, Jonas E., et al.
Published: (2025)
by: Katona, Jonas E., et al.
Published: (2025)
Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Models
by: Hiremath, Prakul Sunil
Published: (2026)
by: Hiremath, Prakul Sunil
Published: (2026)
Unified Unbiased Variance Estimation for Maximum Mean Discrepancy: Robust Finite-Sample Performance with Imbalanced Data and Exact Acceleration under Null and Alternative Hypotheses
by: Zhong, Shijie, et al.
Published: (2026)
by: Zhong, Shijie, et al.
Published: (2026)
Similar Items
-
Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks
by: Muhammad, Sajan, et al.
Published: (2025) -
Uncertainty Quantification for Scientific Machine Learning using Sparse Variational Gaussian Process Kolmogorov-Arnold Networks (SVGP KAN)
by: Ju, Y. Sungtaek
Published: (2025) -
JANUS: Structured Bidirectional Generation for Guaranteed Constraints and Analytical Uncertainty
by: Racicot, Taha
Published: (2026) -
Bayesian Optimization in Linear Time
by: Schneider, Jesse, et al.
Published: (2026) -
TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
by: Hsu, Shang-Ling, et al.
Published: (2024)