rajesh-lab / deep_permutation_invariant
Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
☆22Updated 2 years ago
Alternatives and similar repositories for deep_permutation_invariant:
Users that are interested in deep_permutation_invariant are comparing it to the libraries listed below
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆35Updated 3 months ago
- ☆17Updated last year
- ☆18Updated 3 years ago
- Contrastive neighbor embeddings☆53Updated 3 weeks ago
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆28Updated last month
- Differentiable Euler Characteristic Transform☆17Updated 9 months ago
- Equivariant Mesh Attention Networks☆21Updated 2 years ago
- Random feature latent variable models in Python☆22Updated last year
- ☆17Updated 6 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Code for the paper "Disentangling images with Lie group transformations and sparse coding" (2023). https://proceedings.mlr.press/v197/cha…☆13Updated 3 years ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆35Updated 4 months ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆39Updated 2 years ago
- General Invertible Transformations for Flow-based Generative Models☆17Updated 4 years ago
- ☆28Updated 7 months ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Ultrahyperbolic Representation Learning☆12Updated 4 years ago
- Implementation of Low Distortion Local Eigenmaps and several variations of it☆15Updated 4 months ago
- Official implementation of Joint Multidimensional Scaling☆22Updated last year
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 4 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- ☆10Updated 3 years ago
- TARDIS: Topological Algorithms for Robust DIscovery of Singularities☆41Updated last year
- Euclidean Wasserstein-2 optimal transportation☆46Updated last year
- CO-Optimal Transport☆42Updated 4 years ago
- Website for the ICML 2021 tutorial on Random Matrix Theory and Machine Learning☆15Updated 3 years ago
- Embedding graphs in symmetric spaces☆30Updated 3 years ago