Cover Image

LORE: Jointly Learning the Intrinsic Dimensionality and Relative Similarity Structure From Ordinal Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Anand, Vivek, Helbling, Alec, Davenport, Mark A., Berman, Gordon J., Alagapan, Sankaraleengam, Rozell, Christopher John
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics
by: Chen, Yenho, et al.
Published: (2024)

Diffusion Explorer: Interactive Exploration of Diffusion Models
by: Helbling, Alec, et al.
Published: (2025)

What Time Is It? How Data Geometry Makes Time Conditioning Optional for Flow Matching
by: Helbling, Alec, et al.
Published: (2026)

LORE: A Large Generative Model for Search Relevance
by: Lu, Chenji, et al.
Published: (2025)

LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders
by: Khodabandeh, Borna, et al.
Published: (2025)

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
by: Helbling, Alec, et al.
Published: (2025)

Beyond Labels: Information-Efficient Human-in-the-Loop Learning using Ranking and Selection Queries
by: Martín-Urcelay, Belén, et al.
Published: (2026)

Self-Supervised Dynamical System Representations for Physiological Time-Series
by: Chen, Yenho, et al.
Published: (2025)

Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders
by: Calderon, Josuan, et al.
Published: (2024)

LINOCS: Lookahead Inference of Networked Operators for Continuous Stability
by: Mudrik, Noga, et al.
Published: (2024)

Heterogeneous Ordinal Structure Learning with Bayesian Nonparametric Complexity Discovery
by: Rafe, Amir, et al.
Published: (2026)

From Low Intrinsic Dimensionality to Non-Vacuous Generalization Bounds in Deep Multi-Task Learning
by: Zakerinia, Hossein, et al.
Published: (2025)

Linearly Separable Features in Shallow Nonlinear Networks: Width Scales Polynomially with Intrinsic Data Dimension
by: Xu, Alec S., et al.
Published: (2025)

Data Valuation with Gradient Similarity
by: Evans, Nathaniel J., et al.
Published: (2024)

ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
by: Helbling, Alec, et al.
Published: (2024)

Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions
by: Helbling, Alec, et al.
Published: (2024)

Structural Foundations for Leading Digit Laws: Beyond Probabilistic Mixtures
by: Berman, Vladimir
Published: (2025)

Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics
by: Mudrik, Noga, et al.
Published: (2022)

Learning Ordinality in Semantic Segmentation
by: Cruz, Ricardo P. M., et al.
Published: (2024)

Stable Filtering for Efficient Dimensionality Reduction of Streaming Manifold Data
by: Bertrand, Nicholas P., et al.
Published: (2026)

Active Query Synthesis for Preference Learning
by: Nadagouda, Namrata, et al.
Published: (2026)

SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures
by: Guan, Peimeng, et al.
Published: (2024)

Learning Joint and Individual Structure in Network Data with Covariates
by: James, Carson, et al.
Published: (2024)

On the Intrinsic Dimensions of Data in Kernel Learning
by: Takhanov, Rustem
Published: (2026)

GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction
by: Stepanov, Ihor, et al.
Published: (2026)

Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models
by: Blalock, Justin, et al.
Published: (2024)

The Relational Nature of Zero-Dimensional Objects: Dimensional Closure, Scale Relativity, and Informational Leakage
by: Lindenhayn, Mark
Published: (2025)

Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels
by: Moghaddam, Alireza Sedighi, et al.
Published: (2025)

Conformal confidence sets for biomedical image segmentation
by: Davenport, Samuel
Published: (2024)

Transformer Explainer: Interactive Learning of Text-Generative Models
by: Cho, Aeree, et al.
Published: (2024)

Ranking-aware Reinforcement Learning for Ordinal Ranking
by: Hao, Aiming, et al.
Published: (2026)

Surprisingly High Redundancy in Electronic Structure Data Across Materials Explained by Low Intrinsic Dimensionality
by: Hossain, Sazzad, et al.
Published: (2025)

Local Intrinsic Dimensionality for Dynamic Graph Embeddings
by: Knežević, Dušica, et al.
Published: (2024)

On the Condition Monitoring of Bolted Joints through Acoustic Emission and Deep Transfer Learning: Generalization, Ordinal Loss and Super-Convergence
by: Ramasso, Emmanuel, et al.
Published: (2024)

Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform
by: Bulgakov, Vitaly, et al.
Published: (2024)

A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics
by: Gosnell, Arron, et al.
Published: (2024)

Learning from Uncertain Similarity and Unlabeled Data
by: Wei, Meng, et al.
Published: (2025)

Quantifying Data Similarity Using Cross Learning
by: Sun, Shudong, et al.
Published: (2025)

DFORD: Directional Feedback based Online Ordinal Regression Learning
by: Manwani, Naresh, et al.
Published: (2025)

Region-Point Joint Representation for Effective Trajectory Similarity Learning
by: Long, Hao, et al.
Published: (2025)