On the Limitations of Graph Invariants Inspired by Quantum Walks. - Jamie Smith (Electron. Notes Discret. Math., 2011)

Algorithms for Quantum Computers. - Jamie Smith; Michele Mosca (Handbook of Natural Computing, 2012)

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. - Heng-Tze Cheng; Zakaria Haque; Lichan Hong; Mustafa Ispir; Clemens Mewald; Illia Polosukhin; Georgios Roumpos; D. Sculley; Jamie Smith; David Soergel; Yuan Tang; Philipp Tucker; et al. (KDD, 2017)

Adoption of an Electronic Medical Record Tool for Childhood Obesity by Primary Care Providers. - Amy Williams; Christy B. Turer; Jamie Smith; Isabelle Nievera; Laura McCulloch; Nuha Wareg; Megan Clary; Anuradha Rajagopalan; Ross C. Brownson; Richelle J. Koopman; Sarah Hampl (Appl. Clin. Inform., 2020)

Critiquing Protein Family Classification Models Using Sufficient Input Subsets. - Brandon Carter 001; Maxwell L. Bileschi; Jamie Smith; Theo Sanderson; Drew Bryant; David Belanger 002; Lucy J. Colwell (J. Comput. Biol., 2020)

Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems. - Samuel Kim; Peter Y. Lu; Charlotte Loh; Jamie Smith; Jasper Snoek; Marin Soljacic (CoRR, 2021)

Understanding the bias-variance tradeoff of Bregman divergences. - Ben Adlam; Neha Gupta; Zelda Mariet; Jamie Smith (CoRR, 2022)

Ensembling over Classifiers: a Bias-Variance Perspective. - Neha Gupta; Jamie Smith; Ben Adlam; Zelda Mariet (CoRR, 2022)

Ensembles of Classifiers: a Bias-Variance Perspective. - Neha Gupta; Jamie Smith; Ben Adlam; Zelda E. Mariet (Trans. Mach. Learn. Res., 2022)

Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure. - Samuel Kim; Peter Y. Lu; Charlotte Loh; Jamie Smith; Jasper Snoek; Marin Soljacic (Trans. Mach. Learn. Res., 2022)

Score-Based Diffusion Models as Principled Priors for Inverse Imaging. - Berthy T. Feng; Jamie Smith; Michael Rubinstein; Huiwen Chang; Katherine L. Bouman; William T. Freeman (ICCV, 2023)

Towards the Formal Verification of SysML v2 Models. - Vince Molnár; Bence Graics; András Vörös 001; Stefano Tonetta; Luca Cristoforetti; Greg Kimberly; Pamela Dyer; Kristin Giammarco; Manfred Köthe; John Hester; Jamie Smith; Christoph Grimm 001 (MoDELS (Companion), 2024)

Strongly cospectral vertices. - Chris D. Godsil; Jamie Smith (Australas. J Comb., 2024)