seedatnabeel / TE-CDELinks
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
☆27Updated 2 years ago
Alternatives and similar repositories for TE-CDE
Users that are interested in TE-CDE are comparing it to the libraries listed below
Sorting:
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆35Updated 2 years ago
- ☆39Updated 6 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆26Updated 3 years ago
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆24Updated 2 years ago
- ☆30Updated last year
- ☆44Updated 3 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆75Updated 4 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆64Updated 3 months ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆83Updated last year
- ☆12Updated 2 years ago
- ☆25Updated last month
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆30Updated 5 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆75Updated 3 years ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆11Updated 3 months ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆85Updated 4 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- ☆23Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 3 years ago
- ☆30Updated 3 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆59Updated 4 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 2 years ago
- Diffusion Models for Causal Discovery☆85Updated 2 years ago
- ☆28Updated last year
- VAEs and nonlinear ICA: a unifying framework☆35Updated 4 years ago