A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms. - Shuvro Chowdhury; Andrea Grimaldi; Navid Anjum Aadit; Shaila Niazi; Masoud Mohseni; Shun Kanai; Hideo Ohno; Shunsuke Fukami; Luke Theogarajan; Giovanni Finocchio; Supriyo Datta; Kerem Yunus Çamsari (CoRR, 2023)

Training Deep Boltzmann Networks with Sparse Ising Machines. - Shaila Niazi; Navid Anjum Aadit; Masoud Mohseni; Shuvro Chowdhury; Yao Qin 001; Kerem Yunus Çamsari (CoRR, 2023)

CMOS + stochastic nanomagnets: heterogeneous computers for probabilistic inference and learning. - Keito Kobayashi; Nihal Singh; Qixuan Cao; Kemal Selcuk; Tianrui Hu; Shaila Niazi; Navid Anjum Aadit; Shun Kanai; Hideo Ohno; Shunsuke Fukami; Kerem Yunus Çamsari (CoRR, 2023)

Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers. - Shuvro Chowdhury; Shaila Niazi; Kerem Yunus Çamsari (CoRR, 2024)