Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)

A study on the effect of normalization in predictions by CNN models

Tripod is a tool/ML model for computing latent representations for large sequences

ACM CHIL 2020: "Survival Cluster Analysis"

Simple Pytorch Implementation of BYOL: Bootstrap Your Own Latent(https://arxiv.org/abs/2006.07733) [Colab Version Available]

TensorFlow code and LaTex for Bachelor Thesis: Understanding Variational Autoencoders' Latent Representations of Remote Sensing Images 🌍

Code associated with the paper "Prior Image-Constrained Reconstruction using Style-Based Generative Models" accepted to ICML 2021.

Working towards deliverable 5.3

TensorFlow Deep Feature Consistent VAE Implementation on the Kaggle Fashion Dataset

📜 [MIDL 2022] "Sensor to Image Heterogeneous Domain Adaptation Network", Ishikaa Lunawat, Vignesh S, S P Sharan

Investigate mapping of articulations from the image space to the latent space using neural networks.

This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

Variational Interpretable Concept Embeddings

Latent Representation and Exploration of Images Using Variational AutoEncoders

This algorithm exploits the relationships between variables to improve the reconstruction performance of the variational autoencoder (VAE). A correlation score was used as the metric to group the features via a distance-based clustering method. The resulting clusters served as inputs for the Attention-Based VAE.

Graph Representation Analysis for Connected Embeddings

Latent-Explorer is the Python implementation of the framework proposed in the paper "Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph".

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

Official repository for the "Multiple wavefield solutions in physics-informed neural networks using latent representation" paper.