Guardado en:
| Autores principales: | McConnell, Louis, Sun, Jieran, Maffei, Theo, Gottardo, Raphael, Rapsomaniki, Marianna |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2512.02983 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
por: McConnell, Louis
Publicado: (2025)
por: McConnell, Louis
Publicado: (2025)
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap
por: Driessen, Alice, et al.
Publicado: (2025)
por: Driessen, Alice, et al.
Publicado: (2025)
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
por: Donnelly, Jon, et al.
Publicado: (2021)
por: Donnelly, Jon, et al.
Publicado: (2021)
AudioProtoPNet: An interpretable deep learning model for bird sound classification
por: Heinrich, René, et al.
Publicado: (2024)
por: Heinrich, René, et al.
Publicado: (2024)
Counterfactual Generative Modeling with Variational Causal Inference
por: Wu, Yulun, et al.
Publicado: (2024)
por: Wu, Yulun, et al.
Publicado: (2024)
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks
por: Carballo-Castro, Alba, et al.
Publicado: (2024)
por: Carballo-Castro, Alba, et al.
Publicado: (2024)
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
por: Donnelly, Jon, et al.
Publicado: (2025)
por: Donnelly, Jon, et al.
Publicado: (2025)
Interpretability and Generalization Bounds for Learning Spatial Physics
por: Queiruga, Alejandro Francisco, et al.
Publicado: (2025)
por: Queiruga, Alejandro Francisco, et al.
Publicado: (2025)
CRANE: Correcting Errors in Raw Nanopore Signals Using Hidden Markov Models
por: Ambrozak, Simon, et al.
Publicado: (2026)
por: Ambrozak, Simon, et al.
Publicado: (2026)
Prototype-Grounded Concept Models for Verifiable Concept Alignment
por: Colamonaco, Stefano, et al.
Publicado: (2026)
por: Colamonaco, Stefano, et al.
Publicado: (2026)
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification
por: Malialis, Kleanthis, et al.
Publicado: (2024)
por: Malialis, Kleanthis, et al.
Publicado: (2024)
Prototype Analysis in Hopfield Networks with Hebbian Learning
por: McAlister, Hayden, et al.
Publicado: (2024)
por: McAlister, Hayden, et al.
Publicado: (2024)
Perfect Clustering in Very Sparse Diverse Multiplex Networks
por: Pensky, Marianna
Publicado: (2025)
por: Pensky, Marianna
Publicado: (2025)
Signed Diverse Multiplex Networks: Clustering and Inference
por: Pensky, Marianna
Publicado: (2024)
por: Pensky, Marianna
Publicado: (2024)
Improving Opioid Use Disorder Risk Modelling through Behavioral and Genetic Feature Integration
por: Légitime, Sybille, et al.
Publicado: (2023)
por: Légitime, Sybille, et al.
Publicado: (2023)
Predefined Prototypes for Intra-Class Separation and Disentanglement
por: Almudévar, Antonio, et al.
Publicado: (2024)
por: Almudévar, Antonio, et al.
Publicado: (2024)
Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation
por: Kuang, Taojie, et al.
Publicado: (2025)
por: Kuang, Taojie, et al.
Publicado: (2025)
An Annotated Bibliography of Reference Materials for Use in a Junior-Senior High School Library Media Center.
por: Whitely, Faye McConnell
Publicado: (1987)
por: Whitely, Faye McConnell
Publicado: (1987)
Semantics-Aware Caching for Concept Learning
por: Teyou, Louis Mozart Kamdem, et al.
Publicado: (2026)
por: Teyou, Louis Mozart Kamdem, et al.
Publicado: (2026)
`Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning
por: Feinglass, Joshua, et al.
Publicado: (2024)
por: Feinglass, Joshua, et al.
Publicado: (2024)
Distilling Symbolic Priors for Concept Learning into Neural Networks
por: Marinescu, Ioana, et al.
Publicado: (2024)
por: Marinescu, Ioana, et al.
Publicado: (2024)
Physics-Informed Machine Learning for Transformer Condition Monitoring -- Part I: Basic Concepts, Neural Networks, and Variants
por: Aizpurua, Jose I.
Publicado: (2025)
por: Aizpurua, Jose I.
Publicado: (2025)
Mechanism Learning: Prototype-Anchored Mechanism Inference for Scientific Forecasting
por: Jiang, Qian, et al.
Publicado: (2026)
por: Jiang, Qian, et al.
Publicado: (2026)
bWe Get By with Multimedia...and a Little Help from VCRs, Laser Disc Players, and a Pro PC/TV.
por: McConnell, Terry, et al.
Publicado: (1996)
por: McConnell, Terry, et al.
Publicado: (1996)
ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts
por: Małkus, Bartłomiej, et al.
Publicado: (2025)
por: Małkus, Bartłomiej, et al.
Publicado: (2025)
PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis
por: Huang, Xinlei, et al.
Publicado: (2024)
por: Huang, Xinlei, et al.
Publicado: (2024)
Active Continual Learning with Metaplastic Binary Bayesian Neural Networks
por: Cottart, Kellian, et al.
Publicado: (2026)
por: Cottart, Kellian, et al.
Publicado: (2026)
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
por: Wang, Bor-Shiun, et al.
Publicado: (2024)
por: Wang, Bor-Shiun, et al.
Publicado: (2024)
This looks like what? Challenges and Future Research Directions for Part-Prototype Models
por: Elhadri, Khawla, et al.
Publicado: (2025)
por: Elhadri, Khawla, et al.
Publicado: (2025)
Alike Parts: A Feature-Informed Approach to Local and Global Prototype Explanations
por: Karolczak, Jacek, et al.
Publicado: (2026)
por: Karolczak, Jacek, et al.
Publicado: (2026)
Quantum Theory and Application of Contextual Optimal Transport
por: Mariella, Nicola, et al.
Publicado: (2024)
por: Mariella, Nicola, et al.
Publicado: (2024)
HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data
por: Madhu, Hiren, et al.
Publicado: (2025)
por: Madhu, Hiren, et al.
Publicado: (2025)
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
por: Sainsbury-Dale, Matthew, et al.
Publicado: (2023)
por: Sainsbury-Dale, Matthew, et al.
Publicado: (2023)
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
por: Pach, Mateusz, et al.
Publicado: (2024)
por: Pach, Mateusz, et al.
Publicado: (2024)
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
por: Peng, Ziheng, et al.
Publicado: (2025)
por: Peng, Ziheng, et al.
Publicado: (2025)
Concept Layers: Enhancing Interpretability and Intervenability via LLM Conceptualization
por: Bidusa, Or Raphael, et al.
Publicado: (2025)
por: Bidusa, Or Raphael, et al.
Publicado: (2025)
Log anomaly detection via Meta Learning and Prototypical Networks for Cross domain generalization
por: Sharma, Krishna, et al.
Publicado: (2026)
por: Sharma, Krishna, et al.
Publicado: (2026)
ProtoP-OD: Explainable Object Detection with Prototypical Parts
por: Rath-Manakidis, Pavlos, et al.
Publicado: (2024)
por: Rath-Manakidis, Pavlos, et al.
Publicado: (2024)
Comprehensive Evaluation of Prototype Neural Networks
por: Schlinge, Philipp, et al.
Publicado: (2025)
por: Schlinge, Philipp, et al.
Publicado: (2025)
Subgraph Concept Networks: Concept Levels in Graph Classification
por: Magister, Lucie Charlotte, et al.
Publicado: (2026)
por: Magister, Lucie Charlotte, et al.
Publicado: (2026)
Ejemplares similares
-
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
por: McConnell, Louis
Publicado: (2025) -
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap
por: Driessen, Alice, et al.
Publicado: (2025) -
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
por: Donnelly, Jon, et al.
Publicado: (2021) -
AudioProtoPNet: An interpretable deep learning model for bird sound classification
por: Heinrich, René, et al.
Publicado: (2024) -
Counterfactual Generative Modeling with Variational Causal Inference
por: Wu, Yulun, et al.
Publicado: (2024)