Image de couverture de livre

ProteinPNet: Prototypical Part Networks for Concept Learning in Spatial Proteomics

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	McConnell, Louis, Sun, Jieran, Maffei, Theo, Gottardo, Raphael, Rapsomaniki, Marianna
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
par: McConnell, Louis
Publié: (2025)

Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap
par: Driessen, Alice, et autres
Publié: (2025)

Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
par: Donnelly, Jon, et autres
Publié: (2021)

AudioProtoPNet: An interpretable deep learning model for bird sound classification
par: Heinrich, René, et autres
Publié: (2024)

Counterfactual Generative Modeling with Variational Causal Inference
par: Wu, Yulun, et autres
Publié: (2024)

Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks
par: Carballo-Castro, Alba, et autres
Publié: (2024)

Interpretability and Generalization Bounds for Learning Spatial Physics
par: Queiruga, Alejandro Francisco, et autres
Publié: (2025)

Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
par: Donnelly, Jon, et autres
Publié: (2025)

Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification
par: Malialis, Kleanthis, et autres
Publié: (2024)

Prototype-Grounded Concept Models for Verifiable Concept Alignment
par: Colamonaco, Stefano, et autres
Publié: (2026)

Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation
par: Kuang, Taojie, et autres
Publié: (2025)

Prototype Analysis in Hopfield Networks with Hebbian Learning
par: McAlister, Hayden, et autres
Publié: (2024)

CRANE: Correcting Errors in Raw Nanopore Signals Using Hidden Markov Models
par: Ambrozak, Simon, et autres
Publié: (2026)

Physics-Informed Machine Learning for Transformer Condition Monitoring -- Part I: Basic Concepts, Neural Networks, and Variants
par: Aizpurua, Jose I.
Publié: (2025)

Mechanism Learning: Prototype-Anchored Mechanism Inference for Scientific Forecasting
par: Jiang, Qian, et autres
Publié: (2026)

Semantics-Aware Caching for Concept Learning
par: Teyou, Louis Mozart Kamdem, et autres
Publié: (2026)

Distilling Symbolic Priors for Concept Learning into Neural Networks
par: Marinescu, Ioana, et autres
Publié: (2024)

Perfect Clustering in Very Sparse Diverse Multiplex Networks
par: Pensky, Marianna
Publié: (2025)

`Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning
par: Feinglass, Joshua, et autres
Publié: (2024)

ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts
par: Małkus, Bartłomiej, et autres
Publié: (2025)

Predefined Prototypes for Intra-Class Separation and Disentanglement
par: Almudévar, Antonio, et autres
Publié: (2024)

Signed Diverse Multiplex Networks: Clustering and Inference
par: Pensky, Marianna
Publié: (2024)

PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis
par: Huang, Xinlei, et autres
Publié: (2024)

This looks like what? Challenges and Future Research Directions for Part-Prototype Models
par: Elhadri, Khawla, et autres
Publié: (2025)

Alike Parts: A Feature-Informed Approach to Local and Global Prototype Explanations
par: Karolczak, Jacek, et autres
Publié: (2026)

Improving Opioid Use Disorder Risk Modelling through Behavioral and Genetic Feature Integration
par: Légitime, Sybille, et autres
Publié: (2023)

An Annotated Bibliography of Reference Materials for Use in a Junior-Senior High School Library Media Center.
par: Whitely, Faye McConnell
Publié: (1987)

Active Continual Learning with Metaplastic Binary Bayesian Neural Networks
par: Cottart, Kellian, et autres
Publié: (2026)

ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
par: Peng, Ziheng, et autres
Publié: (2025)

MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
par: Wang, Bor-Shiun, et autres
Publié: (2024)

Log anomaly detection via Meta Learning and Prototypical Networks for Cross domain generalization
par: Sharma, Krishna, et autres
Publié: (2026)

HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data
par: Madhu, Hiren, et autres
Publié: (2025)

Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
par: Sainsbury-Dale, Matthew, et autres
Publié: (2023)

bWe Get By with Multimedia...and a Little Help from VCRs, Laser Disc Players, and a Pro PC/TV.
par: McConnell, Terry, et autres
Publié: (1996)

Subgraph Concept Networks: Concept Levels in Graph Classification
par: Magister, Lucie Charlotte, et autres
Publié: (2026)

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks
par: Shoham, Elad, et autres
Publié: (2024)

Comprehensive Evaluation of Prototype Neural Networks
par: Schlinge, Philipp, et autres
Publié: (2025)

Semi-Supervised Contrastive Learning with Orthonormal Prototypes
par: Li, Huanran, et autres
Publié: (2025)

LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
par: Pach, Mateusz, et autres
Publié: (2024)

Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks
par: Martinez-Lopez, Fernando, et autres
Publié: (2024)