invariance

Rust newtype with guarantees 🇺🇦 🦀

Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023

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

Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.

A List of Papers on Theoretical Foundations of Graph Neural Networks

Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"

Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023

Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)

Continuous regular group convolutions for Pytorch

On the forward invariance of Neural ODEs: performance guarantees for policy learning

Code for "Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training"

Calculate invariant trajectory representations from trajectory data and generate new trajectories from the invariants.

Official PyTorch Implementation of "A General Framework for Robust G-Invariance in G-Equivariant Networks," NeurIPS 2023

Official code for NeurIPS 2024 paper "A Canonicalization Perspective on Invariant and Equivariant Learning".

Measurement invariance explorer - R package to explore measurement invariance

Non-parametric hypothesis tests for identifying distributional group symmetries from data

Matlab implementation of Trajectory Invariants.

PsychoMatic is an R package for automated psychometric analysis. It streamlines descriptives, EFA, CFA, reliability, measurement invariance, and alignment, with flexible settings and bilingual reporting in English or Spanish.

MMD-B-Fair: Learning Fair Representations with Statistical Testing (AISTATS 2023)