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 9 months ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated 2 years ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated 2 years ago
- On Robustness of Neural Ordinary Differential Equations☆11Updated 3 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated last year
- Pytorch implementation of neural processes and variants☆29Updated 11 months ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 4 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- ☆20Updated 5 months ago
- Official Code of Decoupled Graph Convolution (DGC)☆16Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆68Updated 2 years ago
- Neural Dynamics on Complex Networks☆53Updated 4 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
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆26Updated 2 years ago
- Official implementation of Transformer Neural Processes☆78Updated 2 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆16Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years 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
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Updated 4 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆111Updated 2 years ago
- ☆16Updated 3 years ago
- Implicit Graph Neural Networks☆62Updated 3 years ago
- Learning Dynamical Systems that Generalize Across Environments☆20Updated 3 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Updated 3 years ago
- ☆36Updated 3 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆41Updated last year
- Attentive Co-Evolving Neural Ordinary Differential Equations☆29Updated last year