Rust newtype with guarantees 🇺🇦 🦀
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Updated
Apr 7, 2024 - Rust
Rust newtype with guarantees 🇺🇦 🦀
Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023
Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.
Really simplified animal kingdom hierarchy
On the forward invariance of Neural ODEs: performance guarantees for policy learning
This repository is the official accompaniment to A General Framework for Robust G-Invariance in G-Equivariant Networks (submitted, NeurIPS 2023)
Official PyTorch Implementation of "A General Framework for Robust G-Invariance in G-Equivariant Networks," NeurIPS 2023
Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
Some example of type variance in Scala
Continuous regular group convolutions for Pytorch
Linear Errors-In-Variables Estimation
Code for "Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training"
Covariance, invariance, contravariance overview of collections in Java 11, vavr, guava.
Non-parametric hypothesis tests for identifying distributional group symmetries from data
MMD-B-Fair: Learning Fair Representations with Statistical Testing (AISTATS 2023)
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