Matthew A. Price

dblp:253/6301 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 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
2 papers
Deep learning architectures and training · 100%

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

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training › equivariant neural network
spherical CNN
1.222023
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions · ICLR 2023
Efficient Generalized Spherical CNNs · ICLR 2021
Machine learning › Deep learning architectures and training
convolutional neural network
0.712023
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions · ICLR 2023
Machine learning › Deep learning architectures and training
equivariant neural network
0.512021
Efficient Generalized Spherical CNNs · ICLR 2021

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

equivariant convolution · 0.7discrete-continuous convolutions · 0.7spherical convolution · 0.5group equivariance · 0.5
YearPublicationVenuePosition
2023 Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
Jeremy Ocampo, Matthew A. Price, Jason D. McEwen
ICLR2
2021 Efficient Generalized Spherical CNNs
Oliver J. Cobb, Christopher G. R. Wallis, Augustine N. Mavor-Parker, Augustin Marignier, Matthew A. Price, Mayeul d'Avezac, Jason D. McEwen
ICLR5