Kevin Chern

According to our database, Kevin Chern authored at least 4 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Molecular Design beyond Training Data with Novel Extended Objective Functionals of Generative AI Models Driven by Quantum Annealing Computer.

Hayato Kunugi, Mohsen Rahmani, Yosuke Iyama, Yutaro Hirono, Akira Suma, Matthew Woolway, Vladimir Vargas-Calderón, William Kim, Kevin Chern, Mohammad Amin, Masaru Tateno

CoRR, February, 2026

2023

Tutorial: calibration refinement in quantum annealing.

Kevin Chern, Kelly T. R. Boothby, Jack Raymond, Pau Farré, Andrew D. King

Frontiers Comput. Sci., 2023

SpatialSort: a Bayesian model for clustering and cell population annotation of spatial proteomics data.

Eric Lee, Kevin Chern, Michael Nissen, Xuehai Wang, Chris Huang, Anita K. Gandhi, Alexandre Bouchard-Côté, Andrew P. Weng, Andrew Roth

Bioinform., 2023

2022

<i>Blang</i>: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua.

Alexandre Bouchard-Côté, Kevin Chern, Davor Cubranic, Sahand Hosseini, Justin Hume, Matteo Lepur, Zihui Ouyang, Giorgio Sgarbi

J. Stat. Softw., 2022