activity
20182023
most citedAsymptotic Prethermalization in Periodically Driven Classical Spin Chains

79 citations · 86 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?

Linfeng Zhao, Owen Howell, Jung Yeon Park +3

In robotic tasks, changes in reference frames typically do not influence the underlying physical properties of the system, which has been known as invariance of physical laws.These…

cs.CV2023★ 1 cited

Equivariant Single View Pose Prediction Via Induced and Restricted Representations

Owen Howell, David Klee, Ondrej Biza +2

Learning about the three-dimensional world from two-dimensional images is a fundamental problem in computer vision. An ideal neural network architecture for such tasks would levera…

q-bio.PE2020

Tregs self-organize into a "computing ecosystem" and implement a sophisticated optimization algorithm for mediating immune response

Robert Marsland, Owen Howell, Andreas Mayer +1

Regulatory T cells (Tregs) play a crucial role in mediating immune response. Yet an algorithmic understanding of the role of Tregs in adaptive immunity remains lacking. Here, we pr…

cs.LG2019★ 6 cited

Machine Learning as Ecology

Owen Howell, Cui Wenping, Robert Marsland +1

Machine learning methods have had spectacular success on numerous problems. Here we show that a prominent class of learning algorithms - including Support Vector Machines (SVMs) --…

cond-mat.stat-mech2018★ 79 cited

Asymptotic Prethermalization in Periodically Driven Classical Spin Chains

Owen Howell, Phillip Weinberg, Dries Sels +2

We reveal a continuous dynamical heating transition between a prethermal and an infinite-temperature stage in a clean, chaotic periodically driven classical spin chain. The transit…