94 citations · 146 across the 10 of their papers we have counts for
3 papers · 1 filter
Rethinking SO(3)-equivariance with Bilinear Tensor Networks
Chase Shimmin, Zhelun Li, Ema Smith
Many datasets in scientific and engineering applications are comprised of objects which have specific geometric structure. A common example is data which inhabits a representation…
Symmetry Group Equivariant Architectures for Physics
Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf +8
Physical theories grounded in mathematical symmetries are an essential component of our understanding of a wide range of properties of the universe. Similarly, in the domain of mac…
Beyond Imitation: Generative and Variational Choreography via Machine Learning
Mariel Pettee, Chase Shimmin, Douglas Duhaime +1
Our team of dance artists, physicists, and machine learning researchers has collectively developed several original, configurable machine-learning tools to generate novel sequences…