:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Stirn, Andrew A., Knowles, David A.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2402.04412
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical VAE with a Diffusion-based VampPrior
by: Kuzina, Anna, et al.
Published: (2024)

A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior
by: Dong, Yiwei, et al.
Published: (2024)

End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler
by: Blessing, Denis, et al.
Published: (2025)

Energy Guided Geometric Flow Matching
by: Zweig, Aaron, et al.
Published: (2025)

Multi-Teacher Knowledge Distillation via Teacher-Informed Mixture Priors
by: Fang, Luyang, et al.
Published: (2026)

Self-Adaptive Graph Mixture of Models
by: Meena, Mohit, et al.
Published: (2025)

MC#: Mixture Compressor for Mixture-of-Experts Large Models
by: Huang, Wei, et al.
Published: (2025)

PriorZero: Bridging Language Priors and World Models for Decision Making
by: Xiong, Junyu, et al.
Published: (2026)

MixtureKit: A General Framework for Composing, Training, and Visualizing Mixture-of-Experts Models
by: Chamma, Ahmad, et al.
Published: (2025)

Continuous Mixtures of Tractable Probabilistic Models
by: Correia, Alvaro H. C., et al.
Published: (2022)

Mixture of Experts in Large Language Models
by: Zhang, Danyang, et al.
Published: (2025)

SOPE: Stabilizing Off-Policy Evaluation for Online RL with Prior Data
by: Romeo, Carlo, et al.
Published: (2026)

Bayesian Concept Bottleneck Models with LLM Priors
by: Feng, Jean, et al.
Published: (2024)

Mixture of Experts in a Mixture of RL settings
by: Willi, Timon, et al.
Published: (2024)

Position: The Future of Bayesian Prediction Is Prior-Fitted
by: Müller, Samuel, et al.
Published: (2025)

Hybrid Attribution Priors for Explainable and Robust Model Training
by: Zhang, Zhuoran, et al.
Published: (2025)

Efficiently Editing Mixture-of-Experts Models with Compressed Experts
by: He, Yifei, et al.
Published: (2025)

Subtractive Mixture Models via Squaring: Representation and Learning
by: Loconte, Lorenzo, et al.
Published: (2023)

Masked Generative Priors Improve World Models Sequence Modelling Capabilities
by: Meo, Cristian, et al.
Published: (2024)

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions
by: Jayashankar, Tejas, et al.
Published: (2025)

Large Language Models are Effective Priors for Causal Graph Discovery
by: Darvariu, Victor-Alexandru, et al.
Published: (2024)

Comparing Prior and Learned Time Representations in Transformer Models of Timeseries
by: Koliou, Natalia, et al.
Published: (2024)

Latent Introspection: Models Can Detect Prior Concept Injections
by: Pearson-Vogel, Theia, et al.
Published: (2026)

MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators
by: Wan, Cheng, et al.
Published: (2025)

Modeling Choice via Self-Attention
by: Ko, Joohwan, et al.
Published: (2023)

Potential Energy based Mixture Model for Noisy Label Learning
by: Wang, Zijia, et al.
Published: (2024)

Optimal Transport for Domain Adaptation through Gaussian Mixture Models
by: Montesuma, Eduardo Fernandes, et al.
Published: (2024)

Mixture of Masters: Sparse Chess Language Models with Player Routing
by: Frisoni, Giacomo, et al.
Published: (2026)

EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks
by: Arbel, Michael, et al.
Published: (2025)

OLMoE: Open Mixture-of-Experts Language Models
by: Muennighoff, Niklas, et al.
Published: (2024)

Mixture of Raytraced Experts
by: Perin, Andrea, et al.
Published: (2025)

Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
by: Kollovieh, Marcel, et al.
Published: (2024)

In-Context Reinforcement Learning through Bayesian Fusion of Context and Value Prior
by: Berkes, Anaïs, et al.
Published: (2026)

Solving Prior Distribution Mismatch in Diffusion Models via Optimal Transport
by: Wang, Zhanpeng, et al.
Published: (2024)

Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors
by: Rudner, Tim G. J., et al.
Published: (2024)

NoiseAR: AutoRegressing Initial Noise Prior for Diffusion Models
by: Li, Zeming, et al.
Published: (2025)

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
by: Li, Xijun, et al.
Published: (2025)

Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models
by: Liang, Jingcong, et al.
Published: (2025)

Multivariate Beta Mixture Model: Probabilistic Clustering With Flexible Cluster Shapes
by: Hsu, Yung-Peng, et al.
Published: (2024)

Peirce in the Machine: How Mixture of Experts Models Perform Hypothesis Construction
by: Rushing, Bruce
Published: (2024)