Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance
☆18Feb 21, 2025Updated last year
Alternatives and similar repositories for EBSW
Users that are interested in EBSW are comparing it to the libraries listed below
Sorting:
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆14Feb 24, 2026Updated last week
- Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters☆10Mar 5, 2024Updated last year
- ☆13Jul 25, 2023Updated 2 years ago
- ☆13Sep 13, 2023Updated 2 years ago
- Distributional Sliced-Wasserstein distance code☆50Jul 22, 2024Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Oct 22, 2024Updated last year
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Feb 11, 2023Updated 3 years ago
- ☆17Mar 2, 2023Updated 3 years ago
- Implementation code for the paper "Aggregating Residue-Level Protein Language Model Embeddings with Optimal Transport"☆22May 3, 2025Updated 10 months ago
- PyTorch Implementation of MIMO (ICLR 2021)☆16Dec 16, 2022Updated 3 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆31Mar 21, 2024Updated last year
- Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".☆22Sep 7, 2023Updated 2 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆23Nov 18, 2019Updated 6 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆34Oct 3, 2023Updated 2 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆30Nov 5, 2023Updated 2 years ago
- ☆37Oct 20, 2020Updated 5 years ago
- [ACMMM 2025] Benchmarking MLLM Codec Ability☆33Jun 14, 2024Updated last year
- Dataset corresponding to the paper: "Form2Seq : A Framework for Higher-Order Form Structure Extraction"☆10Feb 17, 2021Updated 5 years ago
- rebuilds and completes models of protein complexes using AlphaFold2☆15Updated this week
- [NeurIPS 2025🔥:] EVODiff is an inference-time refinement method for diffusion models that improves sampling efficiency and generative f…☆29Feb 2, 2026Updated last month
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Jun 14, 2019Updated 6 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆43Mar 11, 2024Updated last year
- 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
- Re-implementation of Hamiltonian Generative Networks paper☆35Aug 22, 2022Updated 3 years ago
- hierarchical core-periphery structure☆10Jul 21, 2023Updated 2 years ago
- ☆10Jun 24, 2023Updated 2 years ago
- Demonstration of the UPGMA hierarchal clustering algorithm in Pandas, Seaborn, and Scipy☆11Sep 29, 2019Updated 6 years ago
- GENOT: Generative Neural Optimal Transport☆15Dec 18, 2024Updated last year
- Statistical Modeling II (Ph.D sequence in statistics)☆11Mar 29, 2022Updated 3 years ago
- JMLR Cover Letter Template☆10Dec 15, 2021Updated 4 years ago
- Evolutionary Multi-objective Optimization based Neural Architecture Search for Cognitive Diagnosis☆12Sep 5, 2024Updated last year
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Apr 27, 2023Updated 2 years ago
- Protein scoring and sampling of 'Combinatorial Variant Effects from Structure' (CoVES)☆11Jan 5, 2024Updated 2 years ago
- ☆12Apr 9, 2025Updated 10 months ago
- ☆12Mar 15, 2023Updated 2 years ago
- A nonparametric variational information bottleneck (NVIB) layer in Pytorch☆11Apr 15, 2025Updated 10 months ago
- ☆10Dec 8, 2023Updated 2 years ago
- Source code repository for the AISTAT 2023 paper Transport Reversible Jump Proposals.☆10Mar 3, 2023Updated 3 years ago
- ☆13Jun 5, 2024Updated last year