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Neel Sortur

dblp:334/0507 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

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

Artificial intelligence and machine learning · 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%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training
equivariant models		 0.712023
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry · ICLR 2023
YearPublicationVenuePosition
2023 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
Dian Wang 0001, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters 0001, Robert Platt 0001
 ICLR3