haldai / ABL_minimalLinks
A minimal example of Abductive Learning
☆14Updated last year
Alternatives and similar repositories for ABL_minimal
Users that are interested in ABL_minimal are comparing it to the libraries listed below
Sorting:
- An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a un…☆68Updated 3 weeks ago
- Neuro-Symbolic Hierarchical Rule Induction☆14Updated 2 years ago
- A curated paper list on neural symbolic and probabilistic logic.☆128Updated last year
- Neural Logic Inductive Learning☆44Updated 2 years ago
- ☆46Updated last year
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆21Updated last year
- ☆13Updated last year
- Official code for paper: INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving☆39Updated 2 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated last year
- Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games☆47Updated 2 months ago
- Python notebooks for a tutorial on neurosymbolic programming☆75Updated last year
- OptiBench and ReSocratic Synthesis Method☆25Updated 3 months ago
- ☆38Updated 8 months ago
- Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"☆30Updated last year
- DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predi…☆247Updated 11 months ago
- [COLM 2024] A Survey on Deep Learning for Theorem Proving☆195Updated last month
- The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…☆112Updated last year
- Code for the paper LEGO-Prover: Neural Theorem Proving with Growing Libraries☆65Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- Source code of paper "Systematic Assessment of Factual Knowledge in Large Language Models" - EMNLP Findings 2023☆16Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆66Updated 5 months ago
- ☆37Updated 8 months ago
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆120Updated 9 months ago
- ☆29Updated last year
- 🔗 LINC: Logical Inference via Neurosymbolic Computation [EMNLP2023]☆71Updated last year
- Implementation for ReFactor GNNs☆15Updated last month
- We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.☆118Updated last year
- Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization☆20Updated last month
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 4 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year