Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Dhruv Gamdha

dblp:240/7461 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Deep learning architectures and training · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training › scientific machine learning
neural PDE solvers
0.812024
Neural PDE Solvers for Irregular Domains · Comput. Aided Des. 2024
Computational science and engineering › scientific machine learning
physics-informed machine learning
0.812024
Neural PDE Solvers for Irregular Domains · Comput. Aided Des. 2024

Methods — techniques the papers use, named apart from their topics

neural network · 2.3
YearPublicationVenuePosition
2024 Neural PDE Solvers for Irregular Domains
Biswajit Khara, Ethan Herron, Aditya Balu, Dhruv Gamdha, Chih-Hsuan Yang, Anushrut Jignasu, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
Comput. Aided Des.4