tolgabirdal / PHDimGeneralization
Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.
☆31Updated 2 weeks ago
Alternatives and similar repositories for PHDimGeneralization:
Users that are interested in PHDimGeneralization are comparing it to the libraries listed below
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆32Updated 2 years ago
- Code for Sliced Gromov-Wasserstein☆67Updated 5 years ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆66Updated 7 months ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆68Updated 11 months ago
- ☆36Updated 4 years ago
- ☆21Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- ☆24Updated 3 years ago
- ☆39Updated 5 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- ☆31Updated 4 years ago
- ☆38Updated 4 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- Code for the intrinsic dimensionality estimate of data representations☆79Updated 5 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- ☆33Updated 5 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated last year
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated last year
- ☆24Updated last year
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆19Updated last year
- Implementation of Inexact Proximal point method for Optimal Transport☆47Updated 3 years ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆90Updated 8 months ago