3 papers
cs.LG2025
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…
hep-th2025
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…
physics.ed-ph2025
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…