Approaching an unknown communication system by latent space exploration and causal inference

arXiv:2303.10931 · stat.ML, cs.LG, cs.SD, eess.AS · Submitted 2023-03-20 · Read on arXiv

stat.ML, cs.LG, cs.SD, eess.AS

Submitted: 2023-03-20

Updated: 2024-02-06

Code: https://github.com/andleb/Approaching-an-unknown-communication-system

Terminology

• Causal Inference — 21× in this paper · explained in 4 episodes
• Consistency — 14× in this paper · explained in 3 episodes
• Latent Space — 9× in this paper · explained in 7 episodes
• SHAP values — 7× in this paper · explained in 2 episodes
• Generative Model — 6× in this paper · explained in 2 episodes
• Representation Learning — 5× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Wasserstein Distance — 4× in this paper · explained in 4 episodes
• Entanglement — 3× in this paper · explained in 4 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Representation Learning: A Review and New Perspectives
• Explanations for Occluded Images
• Consistent Individualized Feature Attribution for Tree Ensembles
• Disentangled Representation Learning

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