Linear Errors-In-Variables Estimation
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Updated
Nov 24, 2018 - SAS
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)
Have hard time understanding it? Let me simplify it for you.
A List of Papers on Theoretical Foundations of Graph Neural Networks
The Transformational Measures (TM) library allows neural network researchers to evaluate the invariance and equivariance of their models with respect to a set of transformations. Support for Pytorch (current) and Tensorflow/Keras (coming).
This a tensorflow implementation of VICReg - a self-supervised learning architecture that prevents collapse in an intuitive manner using a loss function that 1. maintains the variance of each embedding over a batch above a threshold and 2. decorrelating pairs of embeddings over a batch and attracting them to 0. Training was done using TPU on colab
Matlab implementation of Trajectory Invariants.
Identifying invariant elements of Neural Networks to image transformations
Simple examples to illustrate the differences between invariance, covariance and contravariance in Scala
Measurement invariance explorer - R package to explore measurement invariance
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
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)
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