:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Akbari, Amirreza, Souza, Amauri H., Garg, Vikas
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Logic in Computer Science
Online Access:	https://arxiv.org/abs/2604.19212
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Logic Gate Neural Networks are Good for Verification
by: Kresse, Fabian, et al.
Published: (2025)

The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics
by: Sälzer, Marco, et al.
Published: (2025)

TLINet: Differentiable Neural Network Temporal Logic Inference
by: Li, Danyang, et al.
Published: (2024)

Modal Logical Neural Networks
by: Sulc, Antonin
Published: (2025)

Topological Neural Networks go Persistent, Equivariant, and Continuous
by: Verma, Yogesh, et al.
Published: (2024)

Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization
by: Soeteman, Arie, et al.
Published: (2025)

Neural Logic Networks for Interpretable Classification
by: Perreault, Vincent, et al.
Published: (2025)

Slice and Explain: Logic-Based Explanations for Neural Networks through Domain Slicing
by: Queiroz, Luiz Fernando Paulino, et al.
Published: (2026)

Continuous Modal Logical Neural Networks: Modal Reasoning via Stochastic Accessibility
by: Sulc, Antonin
Published: (2026)

Bound Propagation meets Constraint Simplification: Improving Logic-based XAI for Neural Networks
by: Gomes, Ronaldo, et al.
Published: (2026)

Regional, Lattice and Logical Representations of Neural Networks
by: Preto, Sandro, et al.
Published: (2025)

On the Expressiveness of State Space Models via Temporal Logics
by: Alsmann, Eric, et al.
Published: (2026)

Comparing Neural Network Encodings for Logic-based Explainability
by: Carvalho, Levi Cordeiro, et al.
Published: (2025)

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

Extracting Formulae in Many-Valued Logic from Deep Neural Networks
by: Zhang, Yani, et al.
Published: (2024)

A Logic for Reasoning About Aggregate-Combine Graph Neural Networks
by: Nunn, Pierre, et al.
Published: (2024)

Branch and Bound for Piecewise Linear Neural Network Verification
by: Bunel, Rudy, et al.
Published: (2019)

How Expressive Are Graph Neural Networks in the Presence of Node Identifiers?
by: Soeteman, Arie, et al.
Published: (2026)

Expressive Power of Deep Homomorphism Networks over Relational Databases
by: Schönherr, Moritz, et al.
Published: (2026)

Logic Tensor Network-Enhanced Generative Adversarial Network
by: Upreti, Nijesh, et al.
Published: (2026)

Expressive Temporal Specifications for Reward Monitoring
by: Adalat, Omar, et al.
Published: (2025)

Proof Minimization in Neural Network Verification
by: Isac, Omri, et al.
Published: (2025)

Space Explanations of Neural Network Classification
by: Labbaf, Faezeh, et al.
Published: (2025)

Lecture Notes on Verifying Graph Neural Networks
by: Schwarzentruber, François
Published: (2025)

The Expressive Power of Transformers with Chain of Thought
by: Merrill, William, et al.
Published: (2023)

Provably Safe Neural Network Controllers via Differential Dynamic Logic
by: Teuber, Samuel, et al.
Published: (2024)

Boolformer: Symbolic Regression of Logic Functions with Transformers
by: d'Ascoli, Stéphane, et al.
Published: (2023)

Towards Understanding the Expressive Power of GNNs with Global Readout
by: Funk, Maurice, et al.
Published: (2026)

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

Almost Surely Asymptotically Constant Graph Neural Networks
by: Adam-Day, Sam, et al.
Published: (2024)

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

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

Polynomial Surrogate Training for Differentiable Ternary Logic Gate Networks
by: Damera, Sai Sandeep, et al.
Published: (2026)

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)

Guiding LLM Temporal Logic Generation with Explicit Separation of Data and Control
by: Murphy, William, et al.
Published: (2024)

Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering
by: Zhang, Chongzhi, et al.
Published: (2024)

A First-Order Logic-Based Alternative to Reward Models in RLHF
by: Jian, Chunjin, et al.
Published: (2025)

A Logical View of GNN-Style Computation and the Role of Activation Functions
by: Barceló, Pablo, et al.
Published: (2025)

On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks
by: Damera, Sai Sandeep, et al.
Published: (2026)