[ICML2023] InfoOT: Information Maximizing Optimal Transport
☆41Apr 27, 2023Updated 3 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
- 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
- Code for "Information Recovery-Driven Deep Incomplete Multi-view Clustering Network"☆13Oct 9, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters☆10Mar 5, 2024Updated 2 years ago
- ☆29Oct 15, 2022Updated 3 years ago
- ☆19Sep 24, 2021Updated 4 years ago
- 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
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆67Dec 1, 2022Updated 3 years ago
- ☆13Jul 25, 2023Updated 2 years ago
- ☆13Sep 13, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆16Feb 1, 2022Updated 4 years ago
- ☆18Jun 30, 2019Updated 6 years ago
- Meta Optimal Transport☆108May 25, 2023Updated 3 years ago
- ☆10Dec 16, 2022Updated 3 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"☆15Feb 24, 2026Updated 3 months ago
- ☆11Jul 25, 2023Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Jun 14, 2019Updated 6 years ago
- Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants☆16Apr 23, 2026Updated last month
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Official Pytorch implementation of "Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration"☆28Sep 3, 2024Updated last year
- Furthest Point Sampling support N dimension tensor(CUDA Version)☆12May 6, 2021Updated 5 years ago
- Euclidean Wasserstein-2 optimal transportation☆48Aug 19, 2023Updated 2 years ago
- ☆12Jul 25, 2024Updated last year
- ☆15Jul 25, 2023Updated 2 years ago
- Learning generative models with Sinkhorn Loss☆31Nov 9, 2018Updated 7 years ago
- BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation☆72May 8, 2025Updated last year
- 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
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- OTGNN code☆56Jun 5, 2020Updated 6 years ago
- BAD-VAE: A VAE framework for unsupervised disentanglement of sequential data☆12May 25, 2022Updated 4 years ago
- About PyTorch implementation for ‘’Robust Multi-View Clustering with Noisy Correspondence‘’ (TKDE 2024)☆11Aug 2, 2024Updated last year
- ☆28Jul 20, 2020Updated 5 years ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆246May 9, 2021Updated 5 years ago
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆10Mar 12, 2024Updated 2 years ago