3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Modulate Your Spectrum in Self-Supervised Learning
Xi Weng, Yunhao Ni, Tengwei Song +5
Whitening loss offers a theoretical guarantee against feature collapse in self-supervised learning (SSL) with joint embedding architectures. Typically, it involves a hard whitening…
q-bio.QM2021★ 3 cited
Fine-Grained System Identification of Nonlinear Neural Circuits
Dawna Bagherian, James Gornet, Jeremy Bernstein +3
We study the problem of sparse nonlinear model recovery of high dimensional compositional functions. Our study is motivated by emerging opportunities in neuroscience to recover fin…
cs.LG2020★ 3 cited
condLSTM-Q: A novel deep learning model for predicting Covid-19 mortality in fine geographical Scale
HyeongChan Jo, Juhyun Kim, Tzu-Chen Huang +1
Predictive models with a focus on different spatial-temporal scales benefit governments and healthcare systems to combat the COVID-19 pandemic. Here we present the conditional Long…