Multitask Kernel-based Learning with Logic Constraints
Fuente:
arXiv
Saved in:
| Main Authors: | Diligenti, Michelangelo, Gori, Marco, Maggini, Marco, Rigutini, Leonardo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multitask Kernel-based Learning with First-Order Logic Constraints
by: Diligenti, Michelangelo, et al.
Published: (2023)
by: Diligenti, Michelangelo, et al.
Published: (2023)
Relational Reasoning Networks
by: Marra, Giuseppe, et al.
Published: (2021)
by: Marra, Giuseppe, et al.
Published: (2021)
Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
by: Zeinalipour, Kamyar, et al.
Published: (2024)
by: Zeinalipour, Kamyar, et al.
Published: (2024)
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles
by: Zugarini, Andrea, et al.
Published: (2024)
by: Zugarini, Andrea, et al.
Published: (2024)
Explainable Malware Detection with Tailored Logic Explained Networks
by: Anthony, Peter, et al.
Published: (2024)
by: Anthony, Peter, et al.
Published: (2024)
An energy-based comparative analysis of common approaches to text classification in the Legal domain
by: Gultekin, Sinan, et al.
Published: (2023)
by: Gultekin, Sinan, et al.
Published: (2023)
Grounding Methods for Neural-Symbolic AI
by: Ontiveros, Rodrigo Castellano, et al.
Published: (2025)
by: Ontiveros, Rodrigo Castellano, et al.
Published: (2025)
Interpretable Concept-Based Memory Reasoning
by: Debot, David, et al.
Published: (2024)
by: Debot, David, et al.
Published: (2024)
DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs
by: Jiao, Ying, et al.
Published: (2025)
by: Jiao, Ying, et al.
Published: (2025)
Relational Concept Bottleneck Models
by: Barbiero, Pietro, et al.
Published: (2023)
by: Barbiero, Pietro, et al.
Published: (2023)
Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognition
by: Randellini, Enrico, et al.
Published: (2024)
by: Randellini, Enrico, et al.
Published: (2024)
Fast Vocabulary Transfer for Language Model Compression
by: Gee, Leonidas, et al.
Published: (2024)
by: Gee, Leonidas, et al.
Published: (2024)
The Viscosity of Logic: Phase Transitions and Hysteresis in DPO Alignment
by: Pollanen, Marco
Published: (2026)
by: Pollanen, Marco
Published: (2026)
Learning with Logical Constraints but without Shortcut Satisfaction
by: Li, Zenan, et al.
Published: (2024)
by: Li, Zenan, et al.
Published: (2024)
Neuro-symbolic Learning Yielding Logical Constraints
by: Li, Zenan, et al.
Published: (2024)
by: Li, Zenan, et al.
Published: (2024)
A Unified Framework for Neural Computation and Learning Over Time
by: Melacci, Stefano, et al.
Published: (2024)
by: Melacci, Stefano, et al.
Published: (2024)
ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications
by: Zeinalipour, Kamyar, et al.
Published: (2023)
by: Zeinalipour, Kamyar, et al.
Published: (2023)
Change Detection in Multivariate data streams: Online Analysis with Kernel-QuantTree
by: Notarianni, Michelangelo Olmo Nogara, et al.
Published: (2024)
by: Notarianni, Michelangelo Olmo Nogara, et al.
Published: (2024)
Mixture of Concept Bottleneck Experts
by: De Santis, Francesco, et al.
Published: (2026)
by: De Santis, Francesco, et al.
Published: (2026)
Generative System Dynamics in Recurrent Neural Networks
by: Casoni, Michele, et al.
Published: (2025)
by: Casoni, Michele, et al.
Published: (2025)
Can Multitask Learning Enhance Model Explainability?
by: Najjar, Hiba, et al.
Published: (2025)
by: Najjar, Hiba, et al.
Published: (2025)
Harnessing LLMs for Educational Content-Driven Italian Crossword Generation
by: Zeinalipour, Kamyar, et al.
Published: (2024)
by: Zeinalipour, Kamyar, et al.
Published: (2024)
Neural Interpretable Reasoning
by: Barbiero, Pietro, et al.
Published: (2025)
by: Barbiero, Pietro, et al.
Published: (2025)
Nature-Inspired Local Propagation
by: Betti, Alessandro, et al.
Published: (2024)
by: Betti, Alessandro, et al.
Published: (2024)
Interleaved Multitask Learning with Energy Modulated Learning Progress
by: Say, Hanne, et al.
Published: (2025)
by: Say, Hanne, et al.
Published: (2025)
M3H: Multimodal Multitask Machine Learning for Healthcare
by: Bertsimas, Dimitris, et al.
Published: (2024)
by: Bertsimas, Dimitris, et al.
Published: (2024)
Data-Efficient Multitask DAgger
by: Fu, Haotian, et al.
Published: (2025)
by: Fu, Haotian, et al.
Published: (2025)
MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
by: Sinodinos, Dimitrios, et al.
Published: (2025)
by: Sinodinos, Dimitrios, et al.
Published: (2025)
Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
by: Ajirak, Marzieh, et al.
Published: (2025)
by: Ajirak, Marzieh, et al.
Published: (2025)
Multitask Learning for Earth Observation Data Classification with Hybrid Quantum Network
by: Fan, Fan, et al.
Published: (2026)
by: Fan, Fan, et al.
Published: (2026)
Multitask Battery Management with Flexible Pretraining
by: Lu, Hong, et al.
Published: (2025)
by: Lu, Hong, et al.
Published: (2025)
A Turkish Educational Crossword Puzzle Generator
by: Zeinalipour, Kamyar, et al.
Published: (2024)
by: Zeinalipour, Kamyar, et al.
Published: (2024)
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction
by: Song, Hui, et al.
Published: (2024)
by: Song, Hui, et al.
Published: (2024)
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
by: Li, Can, et al.
Published: (2023)
by: Li, Can, et al.
Published: (2023)
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints
by: Alves, Jean V., et al.
Published: (2024)
by: Alves, Jean V., et al.
Published: (2024)
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
by: Qian, Feifei, et al.
Published: (2024)
by: Qian, Feifei, et al.
Published: (2024)
The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics
by: Sälzer, Marco, et al.
Published: (2025)
by: Sälzer, Marco, et al.
Published: (2025)
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
by: Li, Dongyue, et al.
Published: (2024)
by: Li, Dongyue, et al.
Published: (2024)
The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics
by: Turazza, Fabio, et al.
Published: (2026)
by: Turazza, Fabio, et al.
Published: (2026)
A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification
by: Corradini, Flavio, et al.
Published: (2024)
by: Corradini, Flavio, et al.
Published: (2024)
Similar Items
-
Multitask Kernel-based Learning with First-Order Logic Constraints
by: Diligenti, Michelangelo, et al.
Published: (2023) -
Relational Reasoning Networks
by: Marra, Giuseppe, et al.
Published: (2021) -
Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
by: Zeinalipour, Kamyar, et al.
Published: (2024) -
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles
by: Zugarini, Andrea, et al.
Published: (2024) -
Explainable Malware Detection with Tailored Logic Explained Networks
by: Anthony, Peter, et al.
Published: (2024)