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researcher

Anima Anandkumar

14 papers here

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

author position
  • middle author5
  • last author8

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CV3
  • cs.CL1
  • eess.IV1
  • physics.flu-dyn1
  • physics.plasm-ph1
ORCID 0000-0002-6974-6797
same name
  • Anima Anandkumar — 96 papers, h 79
  • Anima Anandkumar — 84 papers, h 24
  • Anima Anandkumar — 33 papers, h 41
  • Anima Anandkumar — 1 paper
  • Anima Anandkumar — 1 paper, h 1
  • Anima Anandkumar — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142024
most citedScore Function Features for Discriminative Learning: Matrix and Tensor Framework

29 citations · 133 across the 14 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

physics.plasm-ph2023★ 11 cited

Fourier Neural Operator for Plasma Modelling

Vignesh Gopakumar, Stanislas Pamela, Lorenzo Zanisi +3

Predicting plasma evolution within a Tokamak is crucial to building a sustainable fusion reactor. Whether in the simulation space or within the experimental domain, the capability…

cs.CV2023★ 15 cited

I2SB: Image-to-Image Schrödinger Bridge

Guan-Horng Liu, Arash Vahdat, De-An Huang +3

We propose Image-to-Image Schrödinger Bridge (I2SB), a new class of conditional diffusion models that directly learn the nonlinear diffusion processes between two given distribu…

physics.flu-dyn2023★ 7 cited

Forecasting subcritical cylinder wakes with Fourier Neural Operators

Peter I Renn, Cong Wang, Sahin Lale +3

We apply Fourier neural operators (FNOs), a state-of-the-art operator learning technique, to forecast the temporal evolution of experimentally measured velocity fields. FNOs are a…

cs.CV2023

Vision Transformers Are Good Mask Auto-Labelers

Shiyi Lan, Xitong Yang, Zhiding Yu +3

We propose Mask Auto-Labeler (MAL), a high-quality Transformer-based mask auto-labeling framework for instance segmentation using only box annotations. MAL takes box-cropped images…

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