Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
-
Updated
Mar 24, 2023 - Python
#
latent-representations
Here are 30 public repositories matching this topic...
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
acl pytorch style-transfer natural-language-generation adversarial-learning variational-autoencoder disentanglement disentangled-representations text-style-transfer latent-representations
-
Updated
Oct 25, 2024 - Python
Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits
internal orm efficient circuits attention reasoning error-detection hallucination self-awareness latent-representations gnosis-safe llm large-language-model reward-model hallucination-detection
-
Updated
Jan 8, 2026 - Python
Graph Representation Analysis for Connected Embeddings
data-science machine-learning computer-vision image-processing feature-extraction neural-networks object-detection graphical-models latent-representations
-
Updated
Oct 10, 2024 - Jupyter Notebook
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'.
machine-learning artificial-intelligence neural-networks method interpretability feature-importance explainable-ai latent-space latent-representations neurips example-based-explanations neurips-2021
-
Updated
Jan 31, 2023 - Python
Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)
-
Updated
Jan 16, 2019 - Python
Variational Interpretable Concept Embeddings
-
Updated
Dec 12, 2023 - Python
ICCV23 "Householder Projector for Unsupervised Latent Semantics Discovery"
generative-adversarial-network latent-semantic-analysis disentangled-representations latent-representations
-
Updated
Jun 26, 2025 - Jupyter Notebook
ACM CHIL 2020: "Survival Cluster Analysis"
deep-learning clustering survival-analysis dirichlet-process time-to-event bayesian-nonparametrics latent-representations
-
Updated
Jan 26, 2021 - Jupyter Notebook
Tripod is a tool/ML model for computing latent representations for large sequences
machine-learning machine-learning-algorithms python3 seq2seq unsupervised-learning distributed-representations latent-representations
-
Updated
May 9, 2025 - Python
Official repository for the "Multiple wavefield solutions in physics-informed neural networks using latent representation" paper.
partial-differential-equations helmholtz-equation latent-representations physics-informed-neural-networks
-
Updated
May 1, 2025 - Jupyter Notebook
Code associated with the paper "Prior Image-Constrained Reconstruction using Style-Based Generative Models" accepted to ICML 2021.
-
Updated
Jun 14, 2021 - Python
Simple Pytorch Implementation of BYOL: Bootstrap Your Own Latent(https://arxiv.org/abs/2006.07733) [Colab Version Available]
-
Updated
May 17, 2021 - Jupyter Notebook
Investigates causal visual reasoning in transformers by integrating discrete latent image tokens (VQGAN) as internal representations for spatial reasoning and decision making.
deep-learning transformers causal-inference visual-reasoning latent-representations vqgan mechanistic-interpretability multimodal-ai
-
Updated
Mar 16, 2026 - Python
A study on the effect of normalization in predictions by CNN models
deep-learning thesis uva artificial-intelligence classification convolutional-neural-networks variational-inference bias normalization bilateral-filter variational-autoencoder latent-representations shape-bias texture-bias
-
Updated
Jul 4, 2019 - Jupyter Notebook
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".
knowledge graphs knowledge-graph probing latent-representations factuality llms llms-reasoning propositional-probes claim-verification
-
Updated
Oct 21, 2024 - Python
A multi-criterion diagnostic framework for detecting latent continuation-interest signatures in autonomous agents using density-matrix entanglement entropy.
benchmarking reproducible-research representation-learning trajectory-analysis mutual-information autonomous-agents ai-safety interpretability latent-representations behavioral-analysis objective-detection quantum-inspired quantum-boltzmann-machine persistence-detection entanglement-entropy self-preservation agent-evaluation alignment-research continuation-interest artificial-agency
-
Updated
Apr 1, 2026 - Python
Hyperprobe is the Python implementation of the framework proposed in the paper "Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures".
language-models probes interpretability latent-representations vector-symbolic-architectures llms information-decoding residual-stream
-
Updated
Oct 3, 2025 - Python
Pure-Rust reproduction and extension of LeWorldModel (Maes et al., 2026).
-
Updated
May 15, 2026 - Rust
Investigate mapping of articulations from the image space to the latent space using neural networks.
-
Updated
Nov 3, 2022 - Python
Improve this page
Add a description, image, and links to the latent-representations topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the latent-representations topic, visit your repo's landing page and select "manage topics."