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M. Padidar

4 papers hereh-index 586 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • physics.plasm-ph2

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedScaling Gaussian Processes with Derivative Information Using Variational Inference

9 citations · 9 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2025

Diffusion for Fusion: Designing Stellarators with Generative AI

Misha Padidar, Teresa Huang, Andrew Giuliani +1

Stellarators are a prospective class of fusion-based power plants that confine a hot plasma with three-dimensional magnetic fields. Typically framed as a PDE-constrained optimizati…

cs.LG2021★ 9 cited

Scaling Gaussian Processes with Derivative Information Using Variational Inference

Misha Padidar, Xinran Zhu, Leo Huang +2

Gaussian processes with derivative information are useful in many settings where derivative information is available, including numerous Bayesian optimization and regression tasks…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.