Cover Image

Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gendron, Gaël, Witbrock, Michael, Dobbie, Gillian
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Methodology I.2.6; I.4.10; I.5.1; G.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey of Methods, Challenges and Perspectives in Causality
by: Gendron, Gaël, et al.
Published: (2023)

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
by: Semenov, Andrei, et al.
Published: (2024)

Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation
by: Montero, Milton L., et al.
Published: (2022)

Counterfactual Causal Inference in Natural Language with Large Language Models
by: Gendron, Gaël, et al.
Published: (2024)

Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds
by: Gendron, Gaël, et al.
Published: (2025)

Large Language Models Are Not Strong Abstract Reasoners
by: Gendron, Gaël, et al.
Published: (2023)

Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
by: Lapin, Mykyta, et al.
Published: (2025)

Can Large Language Models Learn Independent Causal Mechanisms?
by: Gendron, Gaël, et al.
Published: (2024)

Beyond Normality: Reliable A/B Testing with Non-Gaussian Data
by: Gong, Junpeng, et al.
Published: (2025)

Neural Encoding for Image Recall: Human-Like Memory
by: Foussereau, Virgile, et al.
Published: (2024)

Kolmogorov-Arnold Attention: Is Learnable Attention Better For Vision Transformers?
by: Maity, Subhajit, et al.
Published: (2025)

FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching
by: Gupta, Sunny, et al.
Published: (2025)

Signal from Noise Signal from Noise: A Neural Network-Based Denoising Approach for Measuring Global Financial Spillovers
by: Karasan, Abdullah, et al.
Published: (2025)

A separability-based approach to quantifying generalization: which layer is best?
by: Dyballa, Luciano, et al.
Published: (2024)

Zero-shot generalization across architectures for visual classification
by: Gerritz, Evan, et al.
Published: (2024)

NV3D: Leveraging Spatial Shape Through Normal Vector-based 3D Object Detection
by: Chaowakarn, Krittin, et al.
Published: (2025)

Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results
by: Carloni, Gianluca, et al.
Published: (2023)

FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment
by: Gupta, Sunny, et al.
Published: (2025)

Feature-Augmented Deep Networks for Multiscale Building Segmentation in High-Resolution UAV and Satellite Imagery
by: Maniyar, Chintan B., et al.
Published: (2025)

FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator
by: Gupta, Sunny, et al.
Published: (2024)

Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes
by: Uehara, Eichi
Published: (2026)

MANGO: Learning Disentangled Image Transformation Manifolds with Grouped Operators
by: Ancelin, Brighton, et al.
Published: (2024)

Bandwidth Selectors on Semiparametric Bayesian Networks
by: Alejandre, Victor, et al.
Published: (2025)

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
by: Rasmussen, Nicholas R., et al.
Published: (2026)

FAME: Feature Activation Map Explanation on Image Classification and Face Recognition
by: Zhang, Xinyi, et al.
Published: (2026)

UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data
by: Gupta, Sunny, et al.
Published: (2025)

Leveraging Causal Reasoning Method for Explaining Medical Image Segmentation Models
by: Jiang, Limai, et al.
Published: (2026)

A Benchmark of Classical and Deep Learning Models for Agricultural Commodity Price Forecasting on A Novel Bangladeshi Market Price Dataset
by: Muhammad, Tashreef, et al.
Published: (2026)

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection
by: Williamson, Dane, et al.
Published: (2025)

Aggregating Direct and Indirect Neighbors through Graph Linear Transformations
by: Rosenhoover, Marshall, et al.
Published: (2025)

Interpretable label-free self-guided subspace clustering
by: Kopriva, Ivica
Published: (2024)

Transfer learning for nonparametric Bayesian networks
by: Sojo, Rafael, et al.
Published: (2026)

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
by: Sarabi, Ali, et al.
Published: (2025)

CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging
by: Gupta, Sunny, et al.
Published: (2024)

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
by: Kashyap, Pankhi, et al.
Published: (2024)

Causal Portfolio Optimization: Principles and Sensitivity-Based Solutions
by: Dominguez, Alejandro Rodriguez
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)

Binned semiparametric Bayesian networks for efficient kernel density estimation
by: Sojo, Rafael, et al.
Published: (2025)

Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
by: Riccio, Donato, et al.
Published: (2024)

Causal PDE-Control Models for Dynamic Portfolio Optimization with Latent Drivers
by: Dominguez, Alejandro Rodriguez
Published: (2025)