causal graph modeling 1cognitive map learning 1differentiable programming 1spatial representation 1vector quantized autoencoder 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Differentiable Clone-Structured Causal Graphs for End-to-End Cognitive Map Learning from Image Sequences
Arash Nikzad, Sasan Sarbishegi, Ali Dasmeh +8
The paper presents gradCSCG, a fully differentiable version of the Clone-Structured Causal Graph model, integrated with a vector-quantized VAE to enable end‑to‑end learning of cogn…
cs.LG2025
Teaching LLMs How to Learn with Contextual Fine-Tuning
Younwoo Choi, Muhammad Adil Asif, Ziwen Han +2
Prompting Large Language Models (LLMs), or providing context on the expected model of operation, is an effective way to steer the outputs of such models to satisfy human desiderata…