plumdeq / hsvm
Hyperbolic SVM in Python
☆11Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for hsvm
- Code for the paper "XAI Beyond Classification: Interpretable Neural Clustering" (JMLR 2022)☆13Updated 2 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆21Updated 6 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆54Updated last year
- ☆40Updated last year
- An Empirical Study of Invariant Risk Minimization☆28Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 3 years ago
- EigenPro2 iteration in Tensorflow (Keras)☆23Updated 5 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification☆16Updated 4 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆45Updated last year
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆20Updated 5 years ago
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆18Updated 3 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆27Updated 4 years ago
- ☆29Updated 6 years ago
- A simple algorithm to identify and correct for label shift.☆21Updated 6 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆30Updated 3 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- repo for "Decision explanation and feature importance for invertible networks"☆13Updated 5 years ago
- ☆16Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆28Updated 3 years ago
- Generalized Canonical Correlation Analysis☆49Updated 7 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆60Updated 4 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆24Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆52Updated 2 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- Implementation for "Classification from Pairwise Similarity and Unlabeled Data"☆27Updated 4 years ago
- A Wasserstein Subsequence Kernel for Time Series.☆21Updated 5 months ago