2 papers
cs.RO2026
LePlanner: An Iterative Amortized Controller For World Models
Saksham Bansal, Om Naphade, Chayan Aggarwal +1
World models trained with joint-embedding predictive architectures learn compact, structured latent representations from physical interaction, yet planning in these latent spaces t…
cs.LG2025
Small LLMs with Expert Blocks Are Good Enough for Hyperparamter Tuning
Om Naphade, Saksham Bansal, Parikshit Pareek
Hyper-parameter Tuning (HPT) is a necessary step in machine learning (ML) pipelines but becomes computationally expensive and opaque with larger models. Recently, Large Language Mo…