Cover Image

Scalable unsupervised alignment of general metric and non-metric structures

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vedula, Sanketh, Maiorca, Valentino, Basile, Lorenzo, Locatello, Francesco, Bronstein, Alex
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

ResiDual Transformer Alignment with Spectral Decomposition
by: Basile, Lorenzo, et al.
Published: (2024)

Head Pursuit: Probing Attention Specialization in Multimodal Transformers
by: Basile, Lorenzo, et al.
Published: (2025)

Latent Functional Maps: a spectral framework for representation alignment
by: Fumero, Marco, et al.
Published: (2024)

Latent Space Translation via Inverse Relative Projection
by: Maiorca, Valentino, et al.
Published: (2024)

From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling
by: Gahtan, Barak, et al.
Published: (2025)

Latent Space Translation via Semantic Alignment
by: Maiorca, Valentino, et al.
Published: (2023)

Generative modeling of protein ensembles guided by crystallographic electron densities
by: Maddipatla, Sai Advaith, et al.
Published: (2024)

Vector Quantile Regression on Manifolds
by: Pegoraro, Marco, et al.
Published: (2023)

Inference-time optimization for experiment-grounded protein ensemble generation
by: Maddipatla, Advaith, et al.
Published: (2026)

Fast unsupervised ground metric learning with tree-Wasserstein distance
by: Düsterwald, Kira M., et al.
Published: (2024)

Causal Learning with the Invariance Principle
by: Montagna, Francesco, et al.
Published: (2026)

Statistical and structural identifiability in representation learning
by: Nelson, Walter, et al.
Published: (2026)

Controlling Transient Amplification Improves Long-horizon Rollouts
by: Pervez, Adeel, et al.
Published: (2026)

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
by: Cannistraci, Irene, et al.
Published: (2023)

The Rate-Distortion-Polysemanticity Tradeoff in SAEs
by: Mencattini, Tommaso, et al.
Published: (2026)

Scalable Mechanistic Neural Networks for Differential Equations and Machine Learning
by: Chen, Jiale, et al.
Published: (2024)

Neural networks in non-metric spaces
by: Galimberti, Luca
Published: (2024)

A practical generalization metric for deep networks benchmarking
by: Huang, Mengqing, et al.
Published: (2024)

Marrying Causal Representation Learning with Dynamical Systems for Science
by: Yao, Dingling, et al.
Published: (2024)

Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning
by: Huang, Shimeng, et al.
Published: (2026)

Toward Identifiable Sparse Autoencoders
by: Nelson, Walter, et al.
Published: (2026)

Mechanistic PDE Networks for Discovery of Governing Equations
by: Pervez, Adeel, et al.
Published: (2025)

Learning Discrete Diffusion of Graphs via Free-Energy Gradient Flows
by: Rancati, Dario, et al.
Published: (2026)

Scalable unsupervised feature selection via weight stability
by: Zhang, Xudong, et al.
Published: (2025)

HyperTransport: Amortized Conditioning of T2I Generative Models
by: Maiorca, Valentino, et al.
Published: (2026)

Metric Based Few-Shot Graph Classification
by: Crisostomi, Donato, et al.
Published: (2022)

Exploratory Causal Inference in SAEnce
by: Mencattini, Tommaso, et al.
Published: (2025)

Demystifying amortized causal discovery with transformers
by: Montagna, Francesco, et al.
Published: (2024)

Video alignment using unsupervised learning of local and global features
by: Fakhfour, Niloufar, et al.
Published: (2023)

High-dimensional Analysis of Synthetic Data Selection
by: Rezaei, Parham, et al.
Published: (2025)

Navigating the Latent Space Dynamics of Neural Models
by: Fumero, Marco, et al.
Published: (2025)

An approach to Fisher-Rao metric for infinite dimensional non-parametric information geometry
by: Cheng, Bing, et al.
Published: (2025)

Manifold learning in metric spaces
by: Xu, Liane, et al.
Published: (2025)

Out-of-Distribution Detection with Relative Angles
by: Demirel, Berker, et al.
Published: (2024)

Comparative analysis of unsupervised clustering techniques using validation metrics: Study on cognitive features from the Canadian Longitudinal Study on Aging (CLSA)
by: Sheng, ChenNingZhi
Published: (2025)

Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching
by: Ricciardi, Antonio Pio, et al.
Published: (2025)

Fréchet random forests for metric space valued regression with non euclidean predictors
by: Capitaine, Louis, et al.
Published: (2019)

Mechanistic Neural Networks for Scientific Machine Learning
by: Pervez, Adeel, et al.
Published: (2024)

Pareto optimal proxy metrics
by: Zito, Alessandro, et al.
Published: (2023)

Effective Sample Size and Generalization Bounds for Temporal Networks
by: Gahtan, Barak, et al.
Published: (2025)