The Optimal Choice of Hypothesis Is the Weakest, Not the Shortest
Fuente:
arXiv
Saved in:
| Main Author: | Bennett, Michael Timothy |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Computational Dualism and Objective Superintelligence
by: Bennett, Michael Timothy
Published: (2023)
by: Bennett, Michael Timothy
Published: (2023)
Learning Optimal Strategies for Temporal Tasks in Stochastic Games
by: Bozkurt, Alper Kamil, et al.
Published: (2021)
by: Bozkurt, Alper Kamil, et al.
Published: (2021)
Dual Forgetting Operators in the Context of Weakest Sufficient and Strongest Necessary Conditions
by: Doherty, Patrick, et al.
Published: (2023)
by: Doherty, Patrick, et al.
Published: (2023)
Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models
by: Joshi, Aniruddha, et al.
Published: (2025)
by: Joshi, Aniruddha, et al.
Published: (2025)
Quantifying Calibration Error in Neural Networks Through Evidence-Based Theory
by: Ouattara, Koffi Ismael, et al.
Published: (2024)
by: Ouattara, Koffi Ismael, et al.
Published: (2024)
Constraint-aware Learning of Probabilistic Sequential Models for Multi-Label Classification
by: Buleshnyi, Mykhailo, et al.
Published: (2025)
by: Buleshnyi, Mykhailo, et al.
Published: (2025)
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
by: Lamont, Sean, et al.
Published: (2024)
by: Lamont, Sean, et al.
Published: (2024)
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
by: Su, DiJia, et al.
Published: (2024)
by: Su, DiJia, et al.
Published: (2024)
LLMs and Fuzzing in Tandem: A New Approach to Automatically Generating Weakest Preconditions
by: King, Daragh, et al.
Published: (2025)
by: King, Daragh, et al.
Published: (2025)
A Neurosymbolic Approach to Loop Invariant Generation via Weakest Precondition Reasoning
by: King, Daragh, et al.
Published: (2025)
by: King, Daragh, et al.
Published: (2025)
Optimal Abstractions for Verifying Properties of Kolmogorov-Arnold Networks (KANs)
by: Schwartz, Noah, et al.
Published: (2026)
by: Schwartz, Noah, et al.
Published: (2026)
Value Functions for Temporal Logic: Optimal Policies and Safety Filters
by: So, Oswin, et al.
Published: (2026)
by: So, Oswin, et al.
Published: (2026)
Enhancing Neural Theorem Proving through Data Augmentation and Dynamic Sampling Method
by: Vishwakarma, Rahul, et al.
Published: (2023)
by: Vishwakarma, Rahul, et al.
Published: (2023)
Dual Box Embeddings for the Description Logic EL++
by: Jackermeier, Mathias, et al.
Published: (2023)
by: Jackermeier, Mathias, et al.
Published: (2023)
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
by: DeLong, Lauren Nicole, et al.
Published: (2023)
by: DeLong, Lauren Nicole, et al.
Published: (2023)
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification
by: Xi, Bowen, et al.
Published: (2023)
by: Xi, Bowen, et al.
Published: (2023)
Magnushammer: A Transformer-Based Approach to Premise Selection
by: Mikuła, Maciej, et al.
Published: (2023)
by: Mikuła, Maciej, et al.
Published: (2023)
Multitask Kernel-based Learning with First-Order Logic Constraints
by: Diligenti, Michelangelo, et al.
Published: (2023)
by: Diligenti, Michelangelo, et al.
Published: (2023)
Application of AI to formal methods - an analysis of current trends
by: Stock, Sebastian, et al.
Published: (2024)
by: Stock, Sebastian, et al.
Published: (2024)
P2C: Path to Counterfactuals
by: Dasgupta, Sopam, et al.
Published: (2025)
by: Dasgupta, Sopam, et al.
Published: (2025)
Autonomous Code Evolution Meets NP-Completeness
by: Yu, Cunxi, et al.
Published: (2025)
by: Yu, Cunxi, et al.
Published: (2025)
The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics
by: Sälzer, Marco, et al.
Published: (2025)
by: Sälzer, Marco, et al.
Published: (2025)
MathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs
by: Pati, Viresh, et al.
Published: (2026)
by: Pati, Viresh, et al.
Published: (2026)
Lattice Deduction Transformers
by: Davis, Liam, et al.
Published: (2026)
by: Davis, Liam, et al.
Published: (2026)
Learning big logical rules by joining small rules
by: Hocquette, Céline, et al.
Published: (2024)
by: Hocquette, Céline, et al.
Published: (2024)
Hypergraph Neural Networks Accelerate MUS Enumeration
by: Ijima, Hiroya, et al.
Published: (2026)
by: Ijima, Hiroya, et al.
Published: (2026)
Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization
by: Li, Jinzhao, et al.
Published: (2026)
by: Li, Jinzhao, et al.
Published: (2026)
Scaling the weight parameters in Markov logic networks and relational logistic regression models
by: Weitkämper, Felix
Published: (2021)
by: Weitkämper, Felix
Published: (2021)
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
by: Wu, Haoze, et al.
Published: (2024)
by: Wu, Haoze, et al.
Published: (2024)
Comparing Neural Network Encodings for Logic-based Explainability
by: Carvalho, Levi Cordeiro, et al.
Published: (2025)
by: Carvalho, Levi Cordeiro, 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)
Transfer Learning from Foundational Optimization Embeddings to Unsupervised SAT Representations
by: Pal, Koyena, et al.
Published: (2026)
by: Pal, Koyena, et al.
Published: (2026)
MathlibPR: Pull Request Merge-Readiness Benchmark for Formal Mathematical Libraries
by: Xie, Zixuan, et al.
Published: (2026)
by: Xie, Zixuan, et al.
Published: (2026)
Compiling High-Level Neural Network Specifications into VNN-LIB Queries
by: Daggitt, Matthew L., et al.
Published: (2024)
by: Daggitt, Matthew L., et al.
Published: (2024)
Proceedings 12th International Workshop on Theorem proving components for Educational software
by: Narboux, Julien, et al.
Published: (2024)
by: Narboux, Julien, et al.
Published: (2024)
CFGs: Causality Constrained Counterfactual Explanations using goal-directed ASP
by: Dasgupta, Sopam, et al.
Published: (2024)
by: Dasgupta, Sopam, et al.
Published: (2024)
Autoformalizing Euclidean Geometry
by: Murphy, Logan, et al.
Published: (2024)
by: Murphy, Logan, et al.
Published: (2024)
Expressive Temporal Specifications for Reward Monitoring
by: Adalat, Omar, et al.
Published: (2025)
by: Adalat, Omar, et al.
Published: (2025)
Abduction of Domain Relationships from Data for VQA
by: Chowdhury, Al Mehdi Saadat, et al.
Published: (2025)
by: Chowdhury, Al Mehdi Saadat, et al.
Published: (2025)
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)
Similar Items
-
Computational Dualism and Objective Superintelligence
by: Bennett, Michael Timothy
Published: (2023) -
Learning Optimal Strategies for Temporal Tasks in Stochastic Games
by: Bozkurt, Alper Kamil, et al.
Published: (2021) -
Dual Forgetting Operators in the Context of Weakest Sufficient and Strongest Necessary Conditions
by: Doherty, Patrick, et al.
Published: (2023) -
Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models
by: Joshi, Aniruddha, et al.
Published: (2025) -
Quantifying Calibration Error in Neural Networks Through Evidence-Based Theory
by: Ouattara, Koffi Ismael, et al.
Published: (2024)