Saved in:
| Main Authors: | Koenders, Rick, Moerman, Joshua |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.08647 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Effectful Mealy Machines
by: Bonchi, Filippo, et al.
Published: (2024)
by: Bonchi, Filippo, et al.
Published: (2024)
A General Framework for Property-Driven Machine Learning
by: Flinkow, Thomas, et al.
Published: (2025)
by: Flinkow, Thomas, et al.
Published: (2025)
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
by: Tasse, Geraud Nangue, et al.
Published: (2022)
by: Tasse, Geraud Nangue, et al.
Published: (2022)
Generalizing Logic-based Explanations for Machine Learning Classifiers via Optimization
by: Filho, Francisco Mateus Rocha, et al.
Published: (2026)
by: Filho, Francisco Mateus Rocha, et al.
Published: (2026)
Logical GANs: Adversarial Learning through Ehrenfeucht Fraisse Games
by: Mannucci, Mirco A.
Published: (2025)
by: Mannucci, Mirco A.
Published: (2025)
Developing a Dataset-Adaptive, Normalized Metric for Machine Learning Model Assessment: Integrating Size, Complexity, and Class Imbalance
by: Ossenov, Serzhan
Published: (2024)
by: Ossenov, Serzhan
Published: (2024)
Formalized Hopfield Networks and Boltzmann Machines
by: Cipollina, Matteo, et al.
Published: (2025)
by: Cipollina, Matteo, et al.
Published: (2025)
Machine Learning for Quantifier Selection in cvc5
by: Jakubův, Jan, et al.
Published: (2024)
by: Jakubův, Jan, et al.
Published: (2024)
How (and when) can you fit examples to logic-based hypothesis classes over infinite structures?
by: Benedikt, Michael, et al.
Published: (2026)
by: Benedikt, Michael, et al.
Published: (2026)
From learnable objects to learnable random objects
by: Anderson, Aaron, et al.
Published: (2025)
by: Anderson, Aaron, et al.
Published: (2025)
Programs as Singularities
by: Murfet, Daniel, et al.
Published: (2025)
by: Murfet, Daniel, et al.
Published: (2025)
Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models
by: Joshi, Aniruddha, et al.
Published: (2025)
by: Joshi, Aniruddha, et al.
Published: (2025)
Machine Learning Model Integration with Open World Temporal Logic for Process Automation
by: Aditya, Dyuman, et al.
Published: (2025)
by: Aditya, Dyuman, et al.
Published: (2025)
Bisimulation Learning
by: Abate, Alessandro, et al.
Published: (2024)
by: Abate, Alessandro, et al.
Published: (2024)
Agnostic Online Learning and Excellent Sets
by: Malliaris, Maryanthe, et al.
Published: (2021)
by: Malliaris, Maryanthe, et al.
Published: (2021)
Deep Learning with Parametric Lenses
by: Cruttwell, Geoffrey S. H., et al.
Published: (2024)
by: Cruttwell, Geoffrey S. H., et al.
Published: (2024)
Compile to Compress: Boosting Formal Theorem Provers by Compiler Outputs
by: Li, Guchan, et al.
Published: (2026)
by: Li, Guchan, et al.
Published: (2026)
Scalable Interconnect Learning in Boolean Networks
by: Kresse, Fabian, et al.
Published: (2025)
by: Kresse, Fabian, et al.
Published: (2025)
Null Measurability at the Symmetrization Interface in VC Learning
by: Gupta, Dhruv
Published: (2026)
by: Gupta, Dhruv
Published: (2026)
On Improving Deep Active Learning with Formal Verification
by: Spiegelman, Jonathan, et al.
Published: (2025)
by: Spiegelman, Jonathan, et al.
Published: (2025)
Error-awareness Accelerates Active Automata Learning
by: Kruger, Loes, et al.
Published: (2026)
by: Kruger, Loes, et al.
Published: (2026)
Verifying the Generalization of Deep Learning to Out-of-Distribution Domains
by: Amir, Guy, et al.
Published: (2024)
by: Amir, Guy, et al.
Published: (2024)
Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learning
by: Omi, Nabil, et al.
Published: (2024)
by: Omi, Nabil, et al.
Published: (2024)
Learning logic programs by finding minimal unsatisfiable subprograms
by: Cropper, Andrew, et al.
Published: (2024)
by: Cropper, Andrew, et al.
Published: (2024)
Learning Representations Through Contrastive Neural Model Checking
by: Krsmanovic, Vladimir, et al.
Published: (2025)
by: Krsmanovic, Vladimir, et al.
Published: (2025)
Quantitative Linear Logic for Neuro-Symbolic Learning and Verification
by: Flinkow, Thomas, et al.
Published: (2026)
by: Flinkow, Thomas, et al.
Published: (2026)
Learning Better Representations From Less Data For Propositional Satisfiability
by: Ghanem, Mohamed, et al.
Published: (2024)
by: Ghanem, Mohamed, et al.
Published: (2024)
State Matching and Multiple References in Adaptive Active Automata Learning
by: Kruger, Loes, et al.
Published: (2024)
by: Kruger, Loes, et al.
Published: (2024)
Infectious Disease Forecasting in India using LLM's and Deep Learning
by: Shah, Chaitya, et al.
Published: (2024)
by: Shah, Chaitya, et al.
Published: (2024)
PICID: Proof-Driven Clause Learning in Neural Network Verification
by: Isac, Omri, et al.
Published: (2025)
by: Isac, Omri, et al.
Published: (2025)
Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Critics
by: Boetius, David, et al.
Published: (2024)
by: Boetius, David, et al.
Published: (2024)
A PAC Learning Algorithm for LTL and Omega-regular Objectives in MDPs
by: Perez, Mateo, et al.
Published: (2023)
by: Perez, Mateo, et al.
Published: (2023)
Computing Fixpoints of Learned Functions: Chaotic Iteration and Simple Stochastic Games
by: Baldan, Paolo, et al.
Published: (2026)
by: Baldan, Paolo, et al.
Published: (2026)
A-IC3: Learning-Guided Adaptive Inductive Generalization for Hardware Model Checking
by: Zhou, Xiaofeng, et al.
Published: (2026)
by: Zhou, Xiaofeng, et al.
Published: (2026)
Conformal Signal Temporal Logic for Robust Reinforcement Learning Control: A Case Study
by: Beirami, Hani, et al.
Published: (2026)
by: Beirami, Hani, et al.
Published: (2026)
Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!
by: Gu, Rong
Published: (2024)
by: Gu, Rong
Published: (2024)
A Novel Approach To Implementing Knowledge Distillation In Tsetlin Machines
by: Kinateder, Calvin
Published: (2025)
by: Kinateder, Calvin
Published: (2025)
Premise Selection for a Lean Hammer
by: Zhu, Thomas, et al.
Published: (2025)
by: Zhu, Thomas, et al.
Published: (2025)
SMLP: Symbolic Machine Learning Prover
by: Brauße, Franz, et al.
Published: (2024)
by: Brauße, Franz, et al.
Published: (2024)
Machine Learning as Iterated Belief Change a la Darwiche and Pearl
by: Aravanis, Theofanis
Published: (2025)
by: Aravanis, Theofanis
Published: (2025)
Similar Items
-
Effectful Mealy Machines
by: Bonchi, Filippo, et al.
Published: (2024) -
A General Framework for Property-Driven Machine Learning
by: Flinkow, Thomas, et al.
Published: (2025) -
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
by: Tasse, Geraud Nangue, et al.
Published: (2022) -
Generalizing Logic-based Explanations for Machine Learning Classifiers via Optimization
by: Filho, Francisco Mateus Rocha, et al.
Published: (2026) -
Logical GANs: Adversarial Learning through Ehrenfeucht Fraisse Games
by: Mannucci, Mirco A.
Published: (2025)