Accelerating Markov Random Field Inference Using Molecular Optical Gibbs Sampling Units. - Siyang Wang 001; Xiangyu Zhang 011; Yuxuan Li; Ramin Bashizade; Song Yang; Chris Dwyer; Alvin R. Lebeck (ISCA, 2016)

Architecting a Stochastic Computing Unit with Molecular Optical Devices. - Xiangyu Zhang 011; Ramin Bashizade; Craig LaBoda; Chris Dwyer; Alvin R. Lebeck (ISCA, 2018)

A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators. - Xiangyu Zhang 011; Sayan Mukherjee 001; Alvin R. Lebeck (CoRR, 2019)

Rolling dice at the nanoscale. - Xiangyu Zhang 011; Ramin Bashizade (XRDS, 2019)

Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators. - Xiangyu Zhang 011; Ramin Bashizade; Yicheng Wang; Cheng Lyu; Sayan Mukherjee 001; Alvin R. Lebeck (CoRR, 2020)

Accelerating Probabilistic Computing with a Stochastic Processing Unit. - Xiangyu Zhang 011 (2020)

Statistical robustness of Markov chain Monte Carlo accelerators. - Xiangyu Zhang 011; Ramin Bashizade; Yicheng Wang; Sayan Mukherjee 001; Alvin R. Lebeck (ASPLOS, 2021)

Accelerating Markov Random Field Inference with Uncertainty Quantification. - Ramin Bashizade; Xiangyu Zhang 011; Sayan Mukherjee 001; Alvin R. Lebeck (CoRR, 2021)