Shaila Niazi

According to our database, Shaila Niazi authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

From Independent to Correlated Diffusion: Generalized Generative Modeling with Probabilistic Computers.

Nihal Singh, Mazdak Mohseni-Rajaee, Shaila Niazi, Kerem Yunus Çamsari

CoRR, March, 2026

2024

Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers.

Shuvro Chowdhury, Shaila Niazi, Kerem Yunus Çamsari

CoRR, 2024

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

Training Deep Boltzmann Networks with Sparse Ising Machines.

Shaila Niazi, Navid Anjum Aadit, Masoud Mohseni, Shuvro Chowdhury, Yao Qin, Kerem Yunus Çamsari

CoRR, 2023

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