Cover Image

Understanding the Role of Functional Diversity in Weight-Ensembling with Ingredient Selection and Multidimensional Scaling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rojas, Alex, Alvarez-Melis, David
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IGDA: Interactive Graph Discovery through Large Language Model Agents
by: Havrilla, Alex, et al.
Published: (2025)

Epicure: Multidimensional Flavor Structure in Food Ingredient Embeddings
by: Radzikowski, Jakub, et al.
Published: (2026)

Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces
by: Sotiropoulou, Athina, et al.
Published: (2024)

CharED: Character-wise Ensemble Decoding for Large Language Models
by: Gu, Kevin, et al.
Published: (2024)

Continuous Language Model Interpolation for Dynamic and Controllable Text Generation
by: Kangaslahti, Sara, et al.
Published: (2024)

Random Scaling of Emergent Capabilities
by: Zhao, Rosie, et al.
Published: (2025)

Distributional Dataset Distillation with Subtask Decomposition
by: Qin, Tian, et al.
Published: (2024)

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't)
by: Nayak, Nihal V., et al.
Published: (2026)

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles
by: Steger, Sophie, et al.
Published: (2024)

Sometimes I am a Tree: Data Drives Unstable Hierarchical Generalization
by: Qin, Tian, et al.
Published: (2024)

To Backtrack or Not to Backtrack: When Sequential Search Limits Model Reasoning
by: Qin, Tian, et al.
Published: (2025)

DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
by: Geuter, Jonathan, et al.
Published: (2025)

Guided Speculative Inference for Efficient Test-Time Alignment of LLMs
by: Geuter, Jonathan, et al.
Published: (2025)

Continuous Multidimensional Scaling
by: Trosset, Michael W., et al.
Published: (2024)

Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias
by: Odonnat, Ambroise, et al.
Published: (2023)

Is BatchEnsemble a Single Model? On Calibration and Diversity of Efficient Ensembles
by: Zamyatin, Anton, et al.
Published: (2026)

The Curse of Diversity in Ensemble-Based Exploration
by: Lin, Zhixuan, et al.
Published: (2024)

Pathologies of Predictive Diversity in Deep Ensembles
by: Abe, Taiga, et al.
Published: (2023)

Conditional Multidimensional Scaling with Incomplete Conditioning Data
by: Bui, Anh Tuan
Published: (2025)

Optimizing Multidimensional Scaling in Gini Metric Spaces
by: Mussard, Cassandra, et al.
Published: (2026)

A Label is Worth a Thousand Images in Dataset Distillation
by: Qin, Tian, et al.
Published: (2024)

An Optimised Greedy-Weighted Ensemble Framework for Financial Loan Default Prediction
by: Nortey, Ezekiel Nii Noye, et al.
Published: (2026)

Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning
by: Shitanda, Naoki, et al.
Published: (2026)

ESLM: Risk-Averse Selective Language Modeling for Efficient Pretraining
by: Bal, Melis Ilayda, et al.
Published: (2025)

Understanding the Role of Layer Normalization in Label-Skewed Federated Learning
by: Zhang, Guojun, et al.
Published: (2023)

Counterfactual Situation Testing: From Single to Multidimensional Discrimination
by: Alvarez, Jose M., et al.
Published: (2025)

Stop Training for the Worst: Progressive Unmasking Accelerates Masked Diffusion Training
by: Kim, Jaeyeon, et al.
Published: (2026)

OT on the Map: Quantifying Domain Shifts in Geographic Space
by: Zhang, Haoran, et al.
Published: (2026)

Supervised Learning via Ensembles of Diverse Functional Representations: the Functional Voting Classifier
by: Riccio, Donato, et al.
Published: (2024)

Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling
by: Johnsen, Pål V., et al.
Published: (2024)

Weight Ensembling Improves Reasoning in Language Models
by: Dang, Xingyu, et al.
Published: (2025)

Understanding the Role of Training Data in Test-Time Scaling
by: Javanmard, Adel, et al.
Published: (2025)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version
by: Campos, David, et al.
Published: (2021)

Understanding the Role of Rehearsal Scale in Continual Learning under Varying Model Capacities
by: He, JinLi, et al.
Published: (2026)

Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms
by: Deng, Chengyuan, et al.
Published: (2024)

Adaptive Weighting in Knowledge Distillation: An Axiomatic Framework for Multi-Scale Teacher Ensemble Optimization
by: Flouro, Aaron R., et al.
Published: (2026)

A Unified Theory of Diversity in Ensemble Learning
by: Wood, Danny, et al.
Published: (2023)

Diverse Projection Ensembles for Distributional Reinforcement Learning
by: Zanger, Moritz A., et al.
Published: (2023)

Refining Multidimensional Video Reward Models via Disentangled Influence Functions
by: Wang, Muyao, et al.
Published: (2026)

Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
by: Yang, Yingxuan, et al.
Published: (2026)