Physics of the Cosmos
Location
Virtual
Dates
2 March 20264:00pm ET
Community
AI/ML STIG
Type
Seminar
Equivariant Networks – Applications
Speaker
Anna Scaife, U. of Manchester
An introduction to equivariant neural networks, exploring the theoretical foundations of how symmetry constraints can be built directly into neural network architectures for more efficient and physically meaningful learning.
Topics Covered
Symmetries and invariances in physics and astronomy
Group theory foundations for neural networks
Equivariant layers and architectures
Translation, rotation, and permutation equivariance
Applications to astronomical data analysis
Meeting Connection
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