ema-marconato / reasoning-shortcuts
Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
☆19Updated 11 months ago
Alternatives and similar repositories for reasoning-shortcuts:
Users that are interested in reasoning-shortcuts are comparing it to the libraries listed below
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆26Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- The Neuro-Symbolic Forward Reasoner☆22Updated last year
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆88Updated last week
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- ☆19Updated last year
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆13Updated 3 weeks ago
- ☆33Updated 2 months ago
- Scalable training and inference for Probabilistic Circuits☆53Updated last week
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year
- An implementation of EinsumNetworks in PyTorch.☆21Updated last month
- A curated paper list on neural symbolic and probabilistic logic.☆120Updated last year
- Neuro-Symbolic Hierarchical Rule Induction☆12Updated 2 years ago
- Python package for Sentential Decision Diagrams (SDD)☆55Updated this week
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆50Updated 7 months ago
- ☆50Updated last year
- ☆15Updated last year
- Codebase for Neuro-Symbolic Continual Learning.☆20Updated last year
- ☆19Updated 2 years ago
- ☆43Updated last year
- ☆19Updated last week
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆30Updated last year
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- First-order knowledge compilation for lifted probabilistic inference☆11Updated 7 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Updated 4 months ago
- ☆25Updated last year
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆48Updated last year
- Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games☆41Updated last year