Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior
Fuente:
arXiv
Saved in:
| Main Authors: | Chan, Tsai Hor, Zhang, Dora Yan, Yin, Guosheng, Yu, Lequan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
by: Feng, Yushi, et al.
Published: (2025)
by: Feng, Yushi, et al.
Published: (2025)
Multi-task Heterogeneous Graph Learning on Electronic Health Records
by: Chan, Tsai Hor, et al.
Published: (2024)
by: Chan, Tsai Hor, et al.
Published: (2024)
Variational Polya Tree
by: Xu, Lu, et al.
Published: (2025)
by: Xu, Lu, et al.
Published: (2025)
Cross-Modal Alignment via Variational Copula Modelling
by: Wu, Feng, et al.
Published: (2025)
by: Wu, Feng, et al.
Published: (2025)
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
by: Chan, Tsai Hor, et al.
Published: (2025)
by: Chan, Tsai Hor, et al.
Published: (2025)
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
by: Lee, Dongwoo, et al.
Published: (2025)
by: Lee, Dongwoo, et al.
Published: (2025)
Meta-Inverse Physics-Informed Neural Networks for High-Dimensional Ordinary Differential Equations
by: Wei, Zhao, et al.
Published: (2026)
by: Wei, Zhao, et al.
Published: (2026)
Relabeling Minimal Training Subset to Flip a Prediction
by: Yang, Jinghan, et al.
Published: (2023)
by: Yang, Jinghan, et al.
Published: (2023)
Bayesian Concept Bottleneck Models with LLM Priors
by: Feng, Jean, et al.
Published: (2024)
by: Feng, Jean, et al.
Published: (2024)
Mitigating Prior Errors in Causal Structure Learning: A Resilient Approach via Bayesian Networks
by: Chen, Lyuzhou, et al.
Published: (2023)
by: Chen, Lyuzhou, et al.
Published: (2023)
Understanding Task Representations in Neural Networks via Bayesian Ablation
by: Nam, Andrew, et al.
Published: (2025)
by: Nam, Andrew, et al.
Published: (2025)
Compact Bayesian Neural Networks via pruned MCMC sampling
by: Deo, Ratneel, et al.
Published: (2025)
by: Deo, Ratneel, et al.
Published: (2025)
Precise Bayesian Neural Networks
by: Brito, Carlos Stein
Published: (2025)
by: Brito, Carlos Stein
Published: (2025)
Operator Feature Neural Network for Symbolic Regression
by: Deng, Yusong, et al.
Published: (2024)
by: Deng, Yusong, et al.
Published: (2024)
Distilling Symbolic Priors for Concept Learning into Neural Networks
by: Marinescu, Ioana, et al.
Published: (2024)
by: Marinescu, Ioana, et al.
Published: (2024)
CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis
by: Wang, Fuying, et al.
Published: (2024)
by: Wang, Fuying, et al.
Published: (2024)
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
by: Liu, Qinshuo, et al.
Published: (2025)
by: Liu, Qinshuo, et al.
Published: (2025)
A Ridge Too Far: Correcting Over-Shrinkage via Negative Regularization
by: Kim, Dongseok, et al.
Published: (2025)
by: Kim, Dongseok, et al.
Published: (2025)
Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation
by: Choi, Yoonhyuk, et al.
Published: (2022)
by: Choi, Yoonhyuk, et al.
Published: (2022)
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks
by: Refael, Yehonatan, et al.
Published: (2025)
by: Refael, Yehonatan, et al.
Published: (2025)
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
by: Schnaus, Dominik, et al.
Published: (2023)
by: Schnaus, Dominik, et al.
Published: (2023)
Debiasing Online Preference Learning via Preference Feature Preservation
by: Kim, Dongyoung, et al.
Published: (2025)
by: Kim, Dongyoung, et al.
Published: (2025)
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
by: Wang, Fuying, et al.
Published: (2025)
by: Wang, Fuying, et al.
Published: (2025)
nn2poly: An R Package for Converting Neural Networks into Interpretable Polynomials
by: Morala, Pablo, et al.
Published: (2024)
by: Morala, Pablo, et al.
Published: (2024)
Stochastic Weight Sharing for Bayesian Neural Networks
by: Lin, Moule, et al.
Published: (2025)
by: Lin, Moule, et al.
Published: (2025)
Full Bayesian Significance Testing for Neural Networks
by: Liu, Zehua, et al.
Published: (2024)
by: Liu, Zehua, et al.
Published: (2024)
Incorporating Unlabelled Data into Bayesian Neural Networks
by: Sharma, Mrinank, et al.
Published: (2023)
by: Sharma, Mrinank, et al.
Published: (2023)
Regularizing Explanations in Bayesian Convolutional Neural Networks
by: Bekkemoen, Yanzhe, et al.
Published: (2021)
by: Bekkemoen, Yanzhe, et al.
Published: (2021)
Position: The Future of Bayesian Prediction Is Prior-Fitted
by: Müller, Samuel, et al.
Published: (2025)
by: Müller, Samuel, et al.
Published: (2025)
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
by: Yin, Yuxuan, et al.
Published: (2023)
by: Yin, Yuxuan, et al.
Published: (2023)
PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning
by: Feng, Yushi, et al.
Published: (2025)
by: Feng, Yushi, et al.
Published: (2025)
BARNN: A Bayesian Autoregressive and Recurrent Neural Network
by: Coscia, Dario, et al.
Published: (2025)
by: Coscia, Dario, et al.
Published: (2025)
Tubular Riemannian Laplace Approximations for Bayesian Neural Networks
by: David, Rodrigo Pereira
Published: (2025)
by: David, Rodrigo Pereira
Published: (2025)
Beyond the Aggregation Dilemma: Prior-Retaining Decoupled Learning for Multimodal Graphs
by: Yan, Hao, et al.
Published: (2026)
by: Yan, Hao, et al.
Published: (2026)
ASMR: Adaptive Skeleton-Mesh Rigging and Skinning via 2D Generative Prior
by: Hong, Seokhyeon, et al.
Published: (2025)
by: Hong, Seokhyeon, et al.
Published: (2025)
Adapting Amidst Degradation: Cross Domain Li-ion Battery Health Estimation via Physics-Guided Test-Time Training
by: Feng, Yuyuan, et al.
Published: (2024)
by: Feng, Yuyuan, et al.
Published: (2024)
The Triangle of Similarity: A Multi-Faceted Framework for Comparing Neural Network Representations
by: Sirikova, Olha, et al.
Published: (2026)
by: Sirikova, Olha, et al.
Published: (2026)
Differentiated Thyroid Cancer Recurrence Classification Using Machine Learning Models and Bayesian Neural Networks with Varying Priors: A SHAP-Based Interpretation of the Best Performing Model
by: Kumari, HMNS, et al.
Published: (2025)
by: Kumari, HMNS, et al.
Published: (2025)
Unveiling the Power of Sparse Neural Networks for Feature Selection
by: Atashgahi, Zahra, et al.
Published: (2024)
by: Atashgahi, Zahra, et al.
Published: (2024)
Explicit Feature Interaction-aware Graph Neural Networks
by: Kim, Minkyu, et al.
Published: (2022)
by: Kim, Minkyu, et al.
Published: (2022)
Similar Items
-
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
by: Feng, Yushi, et al.
Published: (2025) -
Multi-task Heterogeneous Graph Learning on Electronic Health Records
by: Chan, Tsai Hor, et al.
Published: (2024) -
Variational Polya Tree
by: Xu, Lu, et al.
Published: (2025) -
Cross-Modal Alignment via Variational Copula Modelling
by: Wu, Feng, et al.
Published: (2025) -
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
by: Chan, Tsai Hor, et al.
Published: (2025)