Cover Image

Adaptive Heterogeneous Mixtures of Normalising Flows for Robust Variational Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wiriyapong, Benjamin, Karakuş, Oktay, Sidorov, Kirill
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Through the Gaps: Uncovering Tactical Line-Breaking Passes with Clustering
by: Karakuş, Oktay, et al.
Published: (2025)

Bayes-xG: Player and Position Correction on Expected Goals (xG) using Bayesian Hierarchical Approach
by: Scholtes, Alexander, et al.
Published: (2023)

Structural Pass Analysis in Football: Learning Pass Archetypes and Tactical Impact from Spatio-Temporal Tracking Data
by: Karakuş, Oktay, et al.
Published: (2026)

UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
by: Khidirova, Emiliya, et al.
Published: (2026)

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
by: English, Eshant, et al.
Published: (2025)

Kernelised Normalising Flows
by: English, Eshant, et al.
Published: (2023)

Sequential Feature Selection for Efficient Landslide Segmentation from Multi-Spectral Data
by: Ahmad, Arsalaan, et al.
Published: (2026)

Learning Robust Satellite Attitude Dynamics with Physics-Informed Normalising Flow
by: Cena, Carlo, et al.
Published: (2025)

Adaptive Exponential Integration for Stable Gaussian Mixture Black-Box Variational Inference
by: Che, Baojun, et al.
Published: (2026)

Variational Inference with Mixtures of Isotropic Gaussians
by: Petit-Talamon, Marguerite, et al.
Published: (2025)

Stick-Breaking Mixture Normalizing Flows with Component-Wise Tail Adaptation for Variational Inference
by: Han, Seungsu, et al.
Published: (2025)

The Sim-to-Real Gap in MRS Quantification: A Systematic Deep Learning Validation for GABA
by: Ma, Zien, et al.
Published: (2026)

MixerFlow: MLP-Mixer meets Normalising Flows
by: English, Eshant, et al.
Published: (2023)

Federated Variational Inference for Bayesian Mixture Models
by: Rao, Jackie, et al.
Published: (2025)

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series
by: English, Eshant, et al.
Published: (2024)

Efficient Mixture Learning in Black-Box Variational Inference
by: Hotti, Alexandra, et al.
Published: (2024)

ELBOing Stein: Variational Bayes with Stein Mixture Inference
by: Rønning, Ola, et al.
Published: (2024)

Additive Control Variates Dominate Self-Normalisation in Off-Policy Evaluation
by: Jeunen, Olivier, et al.
Published: (2026)

$\mathtt{emuflow}$: Normalising Flows for Joint Cosmological Analysis
by: Mootoovaloo, Arrykrishna, et al.
Published: (2024)

Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
by: Huix, Tom, et al.
Published: (2024)

Normalisation of SWIFT Message Counterparties with Feature Extraction and Clustering
by: Schoinas, Thanasis, et al.
Published: (2025)

Communicating Likelihoods with Normalising Flows
by: Araz, Jack Y., et al.
Published: (2025)

Heterogeneous Variational Inference for Markov Degradation Hazard Models: Discretized Mixture with Interpretable Clusters
by: Yasuno, Takato
Published: (2026)

Sequential Function-Space Variational Inference via Gaussian Mixture Approximation
by: Zhu, Menghao Waiyan William, et al.
Published: (2025)

Variational Inference, Entropy, and Orthogonality: A Unified Theory of Mixture-of-Experts
by: Su, Ye, et al.
Published: (2026)

Robust Mixture Models for Algorithmic Fairness Under Latent Heterogeneity
by: Li, Siqi, et al.
Published: (2025)

Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
by: Nguyen, Dai Hai, et al.
Published: (2023)

Semantic Communities and Boundary-Spanning Lyrics in K-pop: A Graph-Based Unsupervised Analysis
by: Karakuş, Oktay
Published: (2026)

Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems
by: Amin, Mostafa M., et al.
Published: (2022)

Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning
by: Chen, Hongyao, et al.
Published: (2025)

Robust, Accurate Stochastic Optimization for Variational Inference
by: Dhaka, Akash Kumar, et al.
Published: (2020)

Global Variational Inference Enhanced Robust Domain Adaptation
by: Luo, Lingkun, et al.
Published: (2025)

FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering
by: Qin, Juehang, et al.
Published: (2025)

Stable Training of Normalizing Flows for High-dimensional Variational Inference
by: Andrade, Daniel
Published: (2024)

Flow-Transformed Implicit Processes for Function-Space Variational Inference
by: Ortega, Luis A., et al.
Published: (2026)

Instance-Adaptive Parametrization for Amortized Variational Inference
by: Pollastro, Andrea, et al.
Published: (2026)

Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization
by: Chu, Yunlong, et al.
Published: (2025)

Flow Matching for Posterior Inference with Simulator Feedback
by: Holzschuh, Benjamin, et al.
Published: (2024)

Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism
by: Yan, Jiaming, et al.
Published: (2025)

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems
by: Che, Baojun, et al.
Published: (2025)