Cover Image

Incremental Neural Network Verification via Learned Conflicts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Elsaleh, Raya, Davis, Liam, Wu, Haoze, Katz, Guy
Format:	Preprint
Published:	2026
Subjects:	Logic in Computer Science Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Abstraction-Based Proof Production in Formal Verification of Neural Networks
by: Elboher, Yizhak Yisrael, et al.
Published: (2025)

Neural Network Verification using Partial Multi-Neuron Relaxation
by: Shmuel, Ido, et al.
Published: (2026)

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

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

A Certified Proof Checker for Deep Neural Network Verification in Imandra
by: Desmartin, Remi, et al.
Published: (2024)

Learning to Split: A Reinforcement-Learning-Guided Splitting Heuristic for Neural Network Verification
by: Swisa, Maya, et al.
Published: (2025)

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

Evaluating SAT and SMT Solvers on Large-Scale Sudoku Puzzles
by: Davis, Liam, et al.
Published: (2025)

Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks
by: Boetius, David, et al.
Published: (2026)

Safe and Reliable Training of Learning-Based Aerospace Controllers
by: Mandal, Udayan, et al.
Published: (2024)

SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints
by: Tremante, Andrew, et al.
Published: (2026)

Lemur: Integrating Large Language Models in Automated Program Verification
by: Wu, Haoze, et al.
Published: (2023)

Policy-Adaptable Methods For Resolving Normative Conflicts Through Argumentation and Graph Colouring
by: Joyce, Johnny
Published: (2025)

The Luna Bound Propagator for Formal Analysis of Neural Networks
by: LeCates, Henry, et al.
Published: (2026)

BayesL: a Logical Framework for the Verification of Bayesian Networks
by: Nicoletti, Stefano M., et al.
Published: (2025)

On Improving Deep Active Learning with Formal Verification
by: Spiegelman, Jonathan, et al.
Published: (2025)

SpotIt: Evaluating Text-to-SQL Evaluation with Formal Verification
by: Klopfenstein, Rocky, et al.
Published: (2025)

VeriFlow: Modeling Distributions for Neural Network Verification
by: Zaid, Faried Abu, et al.
Published: (2024)

Verification of Neural Networks (Lecture Notes)
by: Bollig, Benedikt
Published: (2026)

Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy Updates
by: Shea-Blymyer, Colin, et al.
Published: (2024)

Towards Projected and Incremental Pseudo-Boolean Model Counting
by: Yang, Suwei, et al.
Published: (2024)

Shield Synthesis for LTL Modulo Theories
by: Rodriguez, Andoni, et al.
Published: (2024)

Formal Reasoning About Confidence and Automated Verification of Neural Networks
by: Afzal, Mohammad, et al.
Published: (2025)

Eidoku: A Neuro-Symbolic Verification Gate for LLM Reasoning via Structural Constraint Satisfaction
by: Miya, Shinobu
Published: (2025)

Lattice Deduction Transformers
by: Davis, Liam, et al.
Published: (2026)

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

Incremental, inconsistency-resilient reasoning over Description Logic Abox streams
by: Proost, Cas, et al.
Published: (2026)

FAME: Formal Abstract Minimal Explanation for Neural Networks
by: Boumazouza, Ryma, et al.
Published: (2026)

Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations
by: Bassan, Shahaf, et al.
Published: (2025)

You-Only-Randomize-Once: Shaping Statistical Properties in Constraint-based PCG
by: Katz, Jediah, et al.
Published: (2024)

Logic Synthesis with Generative Deep Neural Networks
by: Li, Xihan, et al.
Published: (2024)

Laurel: Unblocking Automated Verification with Large Language Models
by: Mugnier, Eric, et al.
Published: (2024)

Entailment vs. Verification for Partial-assignment Satisfiability and Enumeration
by: Sebastiani, Roberto
Published: (2025)

An Information-Flow Perspective on Explainability Requirements: Specification and Verification
by: Finkbeiner, Bernd, et al.
Published: (2025)

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

Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing
by: Elboher, Yizhak, et al.
Published: (2024)

Automated Verification of Equivalence Properties in Advanced Logic Programs -- Bachelor Thesis
by: Heuer, Jan
Published: (2023)

Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks
by: Köhler, Dominik, et al.
Published: (2024)

Learning Algorithms for Verification of Markov Decision Processes
by: Brázdil, Tomáš, et al.
Published: (2024)

interwhen: A Generalizable Framework for Steering Reasoning Models with Test-time Verification
by: Bhat, Vishak K, et al.
Published: (2026)