msmathcomp / hyperbolic-tsneLinks
Experiments and content for the "Accelerating hyperbolic t-SNE" paper.
☆15Updated last year
Alternatives and similar repositories for hyperbolic-tsne
Users that are interested in hyperbolic-tsne are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"☆11Updated last year
- Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"☆10Updated 3 years ago
- ☆29Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- ☆18Updated last year
- Bayesian Optimisation for String Spaces☆24Updated 4 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 3 years ago
- ☆21Updated 10 months ago
- ☆10Updated 2 years ago
- ☆11Updated 2 years ago
- Bayesian optimization with conformal coverage guarantees☆29Updated 3 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆14Updated 3 years ago
- Code for "Multi-Objective GFlowNets"☆17Updated 2 years ago
- Pytorch implementation of The ICML 2020 paper "On Learning Sets of Symmetric Elements" by Haggai Maron, Or Litany, Gal Chechik, Ethan Fet…☆10Updated 4 years ago
- Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…☆14Updated last year
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated 2 years ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆22Updated 2 years ago
- This repository is the official implementation of Bidirectional Learning for Offline Infinite-width Model-based Optimization (NeurIPS 202…☆14Updated 2 years ago
- ☆18Updated 2 years ago
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 4 years ago
- Lorentzian Distance Learning for Hyperbolic Representations: Retrieval experiments☆13Updated 6 years ago
- Counterfactual Generative Modeling with Variational Causal Inference (ICLR 2025)☆17Updated 3 months ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆16Updated 2 years ago
- Code for Online Graph Dictionary Learning☆18Updated 3 years ago
- Python functions to compute multiparameter persistence landscapes from a RIVET file☆14Updated last year
- PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…☆15Updated 2 years ago
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆72Updated last year
- Modular Gaussian Processes☆16Updated 4 years ago
- ☆37Updated 5 years ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆35Updated last year