Imagen de Portada

Conditional Similarity Triplets Enable Covariate-Informed Representations of Single-Cell Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Chi-Jane, Yi, Haidong, Stanley, Natalie
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Estimating Conditional Covariance between labels for Multilabel Data
por: Park, Laurence A. F., et al.
Publicado: (2025)

Kernel Representation and Similarity Measure for Incomplete Data
por: Cao, Yang, et al.
Publicado: (2025)

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models
por: Xiong, Yi, et al.
Publicado: (2026)

From Molecules to Mixtures: Learning Representations of Olfactory Mixture Similarity using Inductive Biases
por: Tom, Gary, et al.
Publicado: (2025)

Training-Conditional Coverage Bounds under Covariate Shift
por: Pournaderi, Mehrdad, et al.
Publicado: (2024)

Prototype Guided Post-pretraining for Single-Cell Representation Learning
por: Weerasekara, Sachini, et al.
Publicado: (2026)

Clustering with Communication: A Variational Framework for Single Cell Representation Learning
por: Qi, Cong, et al.
Publicado: (2025)

Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
por: Bairaktari, Konstantina, et al.
Publicado: (2025)

Dynamical Implicit Neural Representations
por: Park, Yesom, et al.
Publicado: (2025)

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
por: Zhang, Thomas T., et al.
Publicado: (2024)

What Makes a Representation Good for Single-Cell Perturbation Prediction?
por: Jiang, Wenkang, et al.
Publicado: (2026)

Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
por: Fujikawa, Mitsuhiro, et al.
Publicado: (2024)

Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models
por: Hertel, Matthias, et al.
Publicado: (2026)

Flexible Online Representation Learning Based on Similarity Matching
por: Sridharan, Shagesh, et al.
Publicado: (2026)

Bridging Functional and Representational Similarity via Usable Information
por: Almudévar, Antonio, et al.
Publicado: (2026)

Causes and Consequences of Representational Similarity in Machine Learning Models
por: Li, Zeyu Michael, et al.
Publicado: (2025)

LucidAtlas: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations
por: Jiao, Yining, et al.
Publicado: (2025)

MSDS: Deep Structural Similarity with Multiscale Representation
por: Kang, Danling, et al.
Publicado: (2026)

Language-Enhanced Representation Learning for Single-Cell Transcriptomics
por: Shi, Yaorui, et al.
Publicado: (2025)

CITRAS: Covariate-Informed Transformer for Time Series Forecasting
por: Yamaguchi, Yosuke, et al.
Publicado: (2025)

Logit Distance Bounds Representational Similarity
por: Nielsen, Beatrix M. G., et al.
Publicado: (2026)

Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations
por: Mialon, Grégoire, et al.
Publicado: (2022)

STRAND: Sequence-Conditioned Transport for Single-Cell Perturbations
por: Fu, Boyang, et al.
Publicado: (2026)

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
por: Gong, Jing, et al.
Publicado: (2023)

Learning Library Cell Representations in Vector Space
por: Liang, Rongjian, et al.
Publicado: (2025)

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
por: Nanavati, Praharsh, et al.
Publicado: (2025)

ReSi: A Comprehensive Benchmark for Representational Similarity Measures
por: Klabunde, Max, et al.
Publicado: (2024)

Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity
por: Kolling, Camila, et al.
Publicado: (2023)

Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness
por: Tian, Ye, et al.
Publicado: (2023)

Molecular Graph Representation Learning via Structural Similarity Information
por: Yao, Chengyu, et al.
Publicado: (2024)

SVSNet+: Enhancing Speaker Voice Similarity Assessment Models with Representations from Speech Foundation Models
por: Yin, Chun, et al.
Publicado: (2024)

FedTopo: Topology-Informed Representation Alignment in Federated Learning under Non-I.I.D. Conditions
por: Hu, Ke, et al.
Publicado: (2025)

Causal Representation Learning in Temporal Data via Single-Parent Decoding
por: Brouillard, Philippe, et al.
Publicado: (2024)

Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation
por: Chi, Changxi, et al.
Publicado: (2025)

Variance-Covariance Regularization Improves Representation Learning
por: Zhu, Jiachen, et al.
Publicado: (2023)

Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
por: Hussain, Md Shamim, et al.
Publicado: (2024)

Fairness via Independence: A (Conditional) Distance Covariance Framework
por: Huang, Ruifan, et al.
Publicado: (2024)

Strait: Perceiving Priority and Interference in ML Inference Serving
por: Zhao, Haidong, et al.
Publicado: (2026)

ML Inference Scheduling with Predictable Latency
por: Zhao, Haidong, et al.
Publicado: (2025)

Model Merging via Data-Free Covariance Estimation
por: Hameed, Marawan Gamal Abdel, et al.
Publicado: (2026)