Search Results for author: Nishkrit Desai

Found 2 papers, 0 papers with code

Using Large Language Models for Hyperparameter Optimization

no code implementations7 Dec 2023 Michael R. Zhang, Nishkrit Desai, Juhan Bae, Jonathan Lorraine, Jimmy Ba

This paper studies using foundational large language models (LLMs) to make decisions during hyperparameter optimization (HPO).

Bayesian Optimization Decision Making +1

SolidGen: An Autoregressive Model for Direct B-rep Synthesis

no code implementations26 Mar 2022 Pradeep Kumar Jayaraman, Joseph G. Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris

Key to achieving this is our Indexed Boundary Representation that references B-rep vertices, edges and faces in a well-defined hierarchy to capture the geometric and topological relations suitable for use with machine learning.

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