yulun-rayn / variational-causal-inferenceLinks
Counterfactual Generative Modeling with Variational Causal Inference (ICLR 2025)
☆12Updated last week
Alternatives and similar repositories for variational-causal-inference
Users that are interested in variational-causal-inference are comparing it to the libraries listed below
Sorting:
- Stable Differentiable Causal Discovery (SDCD)☆23Updated last year
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆20Updated 2 years ago
- ☆11Updated last month
- Multiscale earth mover's distance methods for tree and manifold structured data☆12Updated 7 months ago
- Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport (ICLR'25 oral)☆23Updated last month
- ☆30Updated 2 weeks ago
- Supervised Training of Conditional Monge Maps☆19Updated last year
- Code for Online Graph Dictionary Learning☆18Updated 3 years ago
- This repository is the official implementation of Bidirectional Learning for Offline Infinite-width Model-based Optimization (NeurIPS 202…☆15Updated 2 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Updated 2 years ago
- Experiments and content for the "Accelerating hyperbolic t-SNE" paper.☆15Updated last year
- 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
- Deep Large-Scale Inference UsingKnockoffs☆11Updated 3 years ago
- ☆16Updated 8 months ago
- ☆16Updated last year
- ☆12Updated 2 years ago
- ☆18Updated last year
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆30Updated 2 years ago
- Simplicial neural network benchmarking software☆17Updated 3 years ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 2 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated 10 months ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Repository for code and models for the paper "Extrapolative Controlled Sequence Generation via Iterative Refinement"☆15Updated last year
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆21Updated last year
- ☆10Updated last year
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated 5 months ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated 2 years ago
- ☆51Updated 3 months ago
- TUnA: Transformer-based Uncertainty Aware model for PPI Prediction☆10Updated 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