Saved in:
| Main Authors: | Liu, Mingyue, Cropper, Andrew |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.24633 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning logic programs by finding minimal unsatisfiable subprograms
by: Cropper, Andrew, et al.
Published: (2024)
by: Cropper, Andrew, et al.
Published: (2024)
Learning big logical rules by joining small rules
by: Hocquette, Céline, et al.
Published: (2024)
by: Hocquette, Céline, et al.
Published: (2024)
Boolformer: Symbolic Regression of Logic Functions with Transformers
by: d'Ascoli, Stéphane, et al.
Published: (2023)
by: d'Ascoli, Stéphane, et al.
Published: (2023)
BAss: Symbolic Reasoning in Abstract Dialectical Frameworks
by: Pastva, Samuel, et al.
Published: (2026)
by: Pastva, Samuel, et al.
Published: (2026)
Quantitative Linear Logic for Neuro-Symbolic Learning and Verification
by: Flinkow, Thomas, et al.
Published: (2026)
by: Flinkow, Thomas, et al.
Published: (2026)
What makes an Ensemble (Un) Interpretable?
by: Bassan, Shahaf, et al.
Published: (2025)
by: Bassan, Shahaf, et al.
Published: (2025)
Formal Explanations for Neuro-Symbolic AI
by: Paul, Sushmita, et al.
Published: (2024)
by: Paul, Sushmita, et al.
Published: (2024)
Names Don't Matter: Symbol-Invariant Transformer for Open-Vocabulary Learning
by: Işık, İlker, et al.
Published: (2026)
by: Işık, İlker, et al.
Published: (2026)
Verifiable Boosted Tree Ensembles
by: Calzavara, Stefano, et al.
Published: (2024)
by: Calzavara, Stefano, et al.
Published: (2024)
Rigorous Explanations for Tree Ensembles
by: Izza, Yacine, et al.
Published: (2026)
by: Izza, Yacine, et al.
Published: (2026)
$Π$-NeSy: A Possibilistic Neuro-Symbolic Approach
by: Baaj, Ismaïl, et al.
Published: (2025)
by: Baaj, Ismaïl, et al.
Published: (2025)
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
by: He, Haoyuan, et al.
Published: (2022)
by: He, Haoyuan, et al.
Published: (2022)
Procedural Adherence and Interpretability Through Neuro-Symbolic Generative Agents
by: Rothkopf, Raven, et al.
Published: (2024)
by: Rothkopf, Raven, et al.
Published: (2024)
Most General Explanations of Tree Ensembles (Extended Version)
by: Izza, Yacine, et al.
Published: (2025)
by: Izza, Yacine, et al.
Published: (2025)
Logical GANs: Adversarial Learning through Ehrenfeucht Fraisse Games
by: Mannucci, Mirco A.
Published: (2025)
by: Mannucci, Mirco A.
Published: (2025)
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)
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)
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
by: Ciatto, Giovanni, et al.
Published: (2025)
by: Ciatto, Giovanni, et al.
Published: (2025)
RLSF: Fine-tuning LLMs via Symbolic Feedback
by: Jha, Piyush, et al.
Published: (2024)
by: Jha, Piyush, et al.
Published: (2024)
Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery
by: Cornelio, Cristina, et al.
Published: (2024)
by: Cornelio, Cristina, et al.
Published: (2024)
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision
by: Huang, Jiani, et al.
Published: (2023)
by: Huang, Jiani, et al.
Published: (2023)
Just-In-Time Piecewise-Linear Semantics for ReLU-type Networks
by: Duan, Hongyi, et al.
Published: (2025)
by: Duan, Hongyi, et al.
Published: (2025)
SMLP: Symbolic Machine Learning Prover
by: Brauße, Franz, et al.
Published: (2024)
by: Brauße, Franz, et al.
Published: (2024)
SMLP: Symbolic Machine Learning Prover (User Manual)
by: Brauße, Franz, et al.
Published: (2024)
by: Brauße, Franz, et al.
Published: (2024)
Grounding vs. Compositionality: On the Non-Complementarity of Reasoning in Neuro-Symbolic Systems
by: Shahid, Mahnoor, et al.
Published: (2026)
by: Shahid, Mahnoor, et al.
Published: (2026)
Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning
by: Luo, Ziyan, et al.
Published: (2023)
by: Luo, Ziyan, et al.
Published: (2023)
AGEL-Comp: A Neuro-Symbolic Framework for Compositional Generalization in Interactive Agents
by: Shahid, Mahnoor, et al.
Published: (2026)
by: Shahid, Mahnoor, et al.
Published: (2026)
From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performers
by: Zhang, Dylan, et al.
Published: (2024)
by: Zhang, Dylan, et al.
Published: (2024)
The unstable formula theorem revisited via algorithms
by: Malliaris, Maryanthe, et al.
Published: (2022)
by: Malliaris, Maryanthe, et al.
Published: (2022)
Agnostic Online Learning and Excellent Sets
by: Malliaris, Maryanthe, et al.
Published: (2021)
by: Malliaris, Maryanthe, et al.
Published: (2021)
Proof Minimization in Neural Network Verification
by: Isac, Omri, et al.
Published: (2025)
by: Isac, Omri, et al.
Published: (2025)
Space Explanations of Neural Network Classification
by: Labbaf, Faezeh, et al.
Published: (2025)
by: Labbaf, Faezeh, et al.
Published: (2025)
Formalized Hopfield Networks and Boltzmann Machines
by: Cipollina, Matteo, et al.
Published: (2025)
by: Cipollina, Matteo, et al.
Published: (2025)
A General Framework for Property-Driven Machine Learning
by: Flinkow, Thomas, et al.
Published: (2025)
by: Flinkow, Thomas, et al.
Published: (2025)
Lecture Notes on Verifying Graph Neural Networks
by: Schwarzentruber, François
Published: (2025)
by: Schwarzentruber, François
Published: (2025)
PICID: Proof-Driven Clause Learning in Neural Network Verification
by: Isac, Omri, et al.
Published: (2025)
by: Isac, Omri, et al.
Published: (2025)
A First-Order Logic-Based Alternative to Reward Models in RLHF
by: Jian, Chunjin, et al.
Published: (2025)
by: Jian, Chunjin, et al.
Published: (2025)
Do LLMs Dream of Discrete Algorithms?
by: Coelho Jr, Claudionor, et al.
Published: (2025)
by: Coelho Jr, Claudionor, et al.
Published: (2025)
Computable universal online learning
by: Kalociński, Dariusz, et al.
Published: (2025)
by: Kalociński, Dariusz, et al.
Published: (2025)
Similar Items
-
Learning logic programs by finding minimal unsatisfiable subprograms
by: Cropper, Andrew, et al.
Published: (2024) -
Learning big logical rules by joining small rules
by: Hocquette, Céline, et al.
Published: (2024) -
Boolformer: Symbolic Regression of Logic Functions with Transformers
by: d'Ascoli, Stéphane, et al.
Published: (2023) -
BAss: Symbolic Reasoning in Abstract Dialectical Frameworks
by: Pastva, Samuel, et al.
Published: (2026) -
Quantitative Linear Logic for Neuro-Symbolic Learning and Verification
by: Flinkow, Thomas, et al.
Published: (2026)