Cover Image

A General Framework for Property-Driven Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Flinkow, Thomas, Casadio, Marco, Kessler, Colin, Monahan, Rosemary, Komendantskaya, Ekaterina
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Logic in Computer Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification
by: Flinkow, Thomas, et al.
Published: (2026)

Comparing differentiable logics for learning with logical constraints
by: Flinkow, Thomas, et al.
Published: (2024)

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report
by: Bukhari, Syed Ali Asadullah, et al.
Published: (2024)

NLP Verification: Towards a General Methodology for Certifying Robustness
by: Casadio, Marco, et al.
Published: (2024)

Towards a Certified Proof Checker for Deep Neural Network Verification
by: Desmartin, Remi, et al.
Published: (2023)

Generalizing Logic-based Explanations for Machine Learning Classifiers via Optimization
by: Filho, Francisco Mateus Rocha, et al.
Published: (2026)

A Foundation for Differentiable Logics using Dependent Type Theory
by: Affeldt, Reynald, et al.
Published: (2026)

Neural Network Verification is a Programming Language Challenge
by: Cordeiro, Lucas C., et al.
Published: (2025)

Output-decomposed Learning of Mealy Machines
by: Koenders, Rick, et al.
Published: (2024)

Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
by: Wu, Haoze, et al.
Published: (2024)

PICID: Proof-Driven Clause Learning in Neural Network Verification
by: Isac, Omri, et al.
Published: (2025)

Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
by: Tasse, Geraud Nangue, et al.
Published: (2022)

Logical GANs: Adversarial Learning through Ehrenfeucht Fraisse Games
by: Mannucci, Mirco A.
Published: (2025)

VerifyThis 2019: A Program Verification Competition (Extended Report)
by: Dross, Claire, et al.
Published: (2020)

Proof-Carrying Neuro-Symbolic Code
by: Komendantskaya, Ekaterina
Published: (2025)

A-IC3: Learning-Guided Adaptive Inductive Generalization for Hardware Model Checking
by: Zhou, Xiaofeng, et al.
Published: (2026)

Verifying the Generalization of Deep Learning to Out-of-Distribution Domains
by: Amir, Guy, et al.
Published: (2024)

Developing a Dataset-Adaptive, Normalized Metric for Machine Learning Model Assessment: Integrating Size, Complexity, and Class Imbalance
by: Ossenov, Serzhan
Published: (2024)

Formalized Hopfield Networks and Boltzmann Machines
by: Cipollina, Matteo, et al.
Published: (2025)

FRETting about Requirements: Formalised Requirements for an Aircraft Engine Controller
by: Farrell, Marie, et al.
Published: (2021)

BAss: Symbolic Reasoning in Abstract Dialectical Frameworks
by: Pastva, Samuel, et al.
Published: (2026)

Machine Learning for Quantifier Selection in cvc5
by: Jakubův, Jan, et al.
Published: (2024)

From learnable objects to learnable random objects
by: Anderson, Aaron, et al.
Published: (2025)

Programs as Singularities
by: Murfet, Daniel, et al.
Published: (2025)

How (and when) can you fit examples to logic-based hypothesis classes over infinite structures?
by: Benedikt, Michael, et al.
Published: (2026)

The Polynomial Counting Capabilities of Message Passing Neural Networks
by: Sälzer, Marco, et al.
Published: (2026)

Quantitative Linear Logic
by: Capucci, Matteo, et al.
Published: (2026)

Multitask Kernel-based Learning with First-Order Logic Constraints
by: Diligenti, Michelangelo, et al.
Published: (2023)

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks
by: Xiao, Xingyu, et al.
Published: (2024)

A PAC Learning Algorithm for LTL and Omega-regular Objectives in MDPs
by: Perez, Mateo, et al.
Published: (2023)

Bisimulation Learning
by: Abate, Alessandro, et al.
Published: (2024)

A General Framework for Verification and Control of Dynamical Models via Certificate Synthesis
by: Edwards, Alec, et al.
Published: (2023)

Process-Driven Autoformalization in Lean 4
by: Lu, Jianqiao, et al.
Published: (2024)

Conformal Signal Temporal Logic for Robust Reinforcement Learning Control: A Case Study
by: Beirami, Hani, et al.
Published: (2026)

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models
by: Joshi, Aniruddha, et al.
Published: (2025)

Deep Learning with Parametric Lenses
by: Cruttwell, Geoffrey S. H., et al.
Published: (2024)

On the Computational Tractability of the (Many) Shapley Values
by: Marzouk, Reda, et al.
Published: (2025)

Loop Invariant Generation: A Hybrid Framework of Reasoning optimised LLMs and SMT Solvers
by: Bharti, Varun, et al.
Published: (2025)

Scalable Interconnect Learning in Boolean Networks
by: Kresse, Fabian, et al.
Published: (2025)

Machine Learning Model Integration with Open World Temporal Logic for Process Automation
by: Aditya, Dyuman, et al.
Published: (2025)