[ICML2023] InfoOT: Information Maximizing Optimal Transport
☆41Apr 27, 2023Updated 2 years ago
Alternatives and similar repositories for InfoOT
Users that are interested in InfoOT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Feb 11, 2023Updated 3 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆35Feb 14, 2023Updated 3 years ago
- orbital MCMC☆10Jun 17, 2021Updated 4 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Sep 29, 2021Updated 4 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆24Nov 18, 2019Updated 6 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆19Jul 5, 2024Updated last year
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Aug 21, 2023Updated 2 years ago
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆17Jun 27, 2021Updated 4 years ago
- ☆13Jul 25, 2023Updated 2 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆80Jan 25, 2024Updated 2 years ago
- ☆13Sep 13, 2023Updated 2 years ago
- ☆18Jun 30, 2019Updated 6 years ago
- Meta Optimal Transport☆108May 25, 2023Updated 2 years ago
- Robust Optimal Transport code☆43Oct 6, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Feb 27, 2023Updated 3 years ago
- ☆10Dec 16, 2022Updated 3 years ago
- PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…☆15May 31, 2023Updated 2 years ago
- [NeurIPS'21] This repository is the implementation of "Learning 3D Dense Correspondence via Canonical Point Autoencoder"☆20Feb 16, 2022Updated 4 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆14Feb 24, 2026Updated last month
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Sep 2, 2024Updated last year
- ☆11Jul 25, 2023Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Jun 14, 2019Updated 6 years ago
- Hierarchical Story Generation based on (https://arxiv.org/abs/1805.04833)☆13May 6, 2020Updated 5 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Implementation for the paper "Unified Multimodal Model with Unlikelihood Training for Visual Dialog"☆13May 12, 2023Updated 2 years ago
- Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants☆16Nov 30, 2025Updated 4 months ago
- Euclidean Wasserstein-2 optimal transportation☆46Aug 19, 2023Updated 2 years ago
- ☆12Jul 25, 2024Updated last year
- Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning☆10Dec 28, 2021Updated 4 years ago
- ☆15Jul 25, 2023Updated 2 years ago
- Learning generative models with Sinkhorn Loss☆31Nov 9, 2018Updated 7 years ago
- Few Shot Learning on Graphs☆33Feb 15, 2023Updated 3 years ago
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆23Aug 22, 2022Updated 3 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- OTGNN code☆56Jun 5, 2020Updated 5 years ago
- BAD-VAE: A VAE framework for unsupervised disentanglement of sequential data☆12May 25, 2022Updated 3 years ago
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆10Mar 12, 2024Updated 2 years ago
- Parallel solver for graph Laplacians from large social networks.☆11Jan 5, 2022Updated 4 years ago
- Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity☆38Dec 20, 2023Updated 2 years ago
- Recyclable Gaussian Processes☆11Dec 8, 2022Updated 3 years ago