# Anima Anandkumar

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/anima-anandkumar/

## Facts

| Field | Value |
| --- | --- |
| Citations | 18,500 |
| Field | Advanced Neural Network Applications |
| h-index | 57 |
| i10-index | 173 |
| Last Known Institution | California Institute of Technology |
| OpenAlex ID | https://openalex.org/A5014498545 |
| ORCID iD | 0000-0002-6974-6797 |
| Works | 451 |

## Researcher papers

- [SegFormer: Simple and Efficient Design for Semantic Segmentation with\n Transformers](https://scholariq.org/papers/segformer-simple-and-efficient-design-for-semantic-segmentation-with-n/)
- [Scientific discovery in the age of artificial intelligence](https://scholariq.org/papers/scientific-discovery-in-the-age-of-artificial-intelligence/)
- [Fourier Neural Operator for Parametric Partial Differential Equations](https://scholariq.org/papers/fourier-neural-operator-for-parametric-partial-differential-equations/)
- [SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers](https://scholariq.org/papers/segformer-simple-and-efficient-design-for-semantic-segmentation-with/)
- [Physics-informed machine learning: case studies for weather and climate modelling](https://scholariq.org/papers/physics-informed-machine-learning-case-studies-for-weather-and-climate-modelling/)
- [U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow](https://scholariq.org/papers/u-fno-an-enhanced-fourier-neural-operator-based-deep-learning-model-for/)
- [Born Again Neural Networks](https://scholariq.org/papers/born-again-neural-networks/)
- [Born Again Neural Networks](https://scholariq.org/papers/born-again-neural-networks-2/)
- [Neural operators for accelerating scientific simulations and design](https://scholariq.org/papers/neural-operators-for-accelerating-scientific-simulations-and-design/)
- [Neural-Fly enables rapid learning for agile flight in strong winds](https://scholariq.org/papers/neural-fly-enables-rapid-learning-for-agile-flight-in-strong-winds/)
- [Capturing fine-grained details for video-based automation of suturing skills assessment](https://scholariq.org/papers/capturing-fine-grained-details-for-video-based-automation-of-suturing-skills/)

## Researcher topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)

## Researcher university

- [California Institute of Technology](https://scholariq.org/institutions/california-institute-of-technology/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.