EGiunchiglia / CCN
Code for paper "Multi-label Classification Neural Networks with Hard Logical Constraints"
☆14Updated 2 years ago
Alternatives and similar repositories for CCN:
Users that are interested in CCN are comparing it to the libraries listed below
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆27Updated last year
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆50Updated 8 months ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆53Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆63Updated 2 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆52Updated last year
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 10 months ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆25Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last year
- ☆53Updated 7 months ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆48Updated last year
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Code of the paper Fair k-Means Clustering☆13Updated 3 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Updated 5 months ago
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆19Updated last year
- Holographic Reduced Representations☆25Updated 4 months ago
- ☆18Updated 3 years ago
- ☆15Updated last year
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 3 years ago
- Quantification of Uncertainty with Adversarial Models☆28Updated last year
- Structured Neural Networks☆14Updated 9 months ago
- Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.☆20Updated last year
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated 10 months ago
- Implementations of growing and pruning in neural networks☆22Updated last year