3 citations · 7 across the 3 of their papers we have counts for
4 papers
Data, Numbers, and Geometry: Three Tutorials on Numerical Methods, Machine Learning, and Evaluation
Jessica N. Howard, Yidi Qi, Tomás S. R. Silva
We present three practical tutorials on numerical computation and machine learning for mathematical research, developed for the DANGER: Data, Numbers, and Geometry workshop held at…
Rising Stargirls: Benefits of a Creative Arts-Based Approach to Astronomy Education for Middle-School Girls from Underrepresented Groups
Maya Silverman, Aomawa L. Shields, Jessica N. Howard +2
Women from historically marginalized groups in the sciences continue to be severely underrepresented in the fields of physics and astronomy. Young girls identifying with these grou…
Bayesian RG Flow in Neural Network Field Theories
Jessica N. Howard, Marc S. Klinger, Anindita Maiti +1
The Neural Network Field Theory correspondence (NNFT) is a mapping from neural network (NN) architectures into the space of statistical field theories (SFTs). The Bayesian renormal…
Wilsonian Renormalization of Neural Network Gaussian Processes
Jessica N. Howard, Ro Jefferson, Anindita Maiti +1
Separating relevant and irrelevant information is key to any modeling process or scientific inquiry. Theoretical physics offers a powerful tool for achieving this in the form of th…