hedixia / HeavyBallNODELinks
☆13Updated 3 years ago
Alternatives and similar repositories for HeavyBallNODE
Users that are interested in HeavyBallNODE are comparing it to the libraries listed below
Sorting:
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 8 months ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated last year
- Refining continuous-in-depth neural networks☆40Updated 3 years ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated 2 years ago
- Learning Dynamical Systems that Generalize Across Environments☆20Updated 3 years ago
- Pytorch implementation of neural processes and variants☆29Updated 11 months ago
- ☆16Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 9 months ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 3 months ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Updated 4 years ago
- ☆19Updated 4 months ago
- ☆13Updated 2 years ago
- ☆17Updated last year
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆16Updated 11 months ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated last year
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆24Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects☆14Updated 5 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆24Updated 2 years ago
- ☆9Updated 2 years ago
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Updated 2 years ago
- Implementation of Implicit Graphon Neural Representation☆12Updated last year
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆41Updated last year
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆37Updated 2 years ago