Coordinated route optimization for heavy-duty vehicle platoons. - Jeffrey Larson 001; Christoph Kammer; Kuo-Yun Liang; Karl Henrik Johansson (ITSC, 2013)

Non-intrusive termination of noisy optimization. - Jeffrey Larson 001; Stefan M. Wild (Optim. Methods Softw., 2013)

Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression. - Stephen C. Billups; Jeffrey Larson 001; Peter A. Graf (SIAM J. Optim., 2013)

An Integrated Constraint Programming Approach to Scheduling Sports Leagues with Divisional and Round-Robin Tournaments. - Jeffrey Larson 001; Mikael Johansson 001; Mats Carlsson (CPAIOR, 2014)

A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning. - Jeffrey Larson 001; Kuo-Yun Liang; Karl Henrik Johansson (IEEE Trans. Intell. Transp. Syst., 2015)

Coordinated Platoon Routing in a Metropolitan Network. - Jeffrey Larson 001; Todd S. Munson; Vadim Sokolov (CSC, 2016)

Stochastic derivative-free optimization using a trust region framework. - Jeffrey Larson 001; Stephen C. Billups (Comput. Optim. Appl., 2016)

Manifold Sampling for ℓ1 Nonconvex Optimization. - Jeffrey Larson 001; Matt Menickelly; Stefan M. Wild (SIAM J. Optim., 2016)

Platoon formation maximization through centralized routing and departure time coordination. - Vadim Sokolov; Jeffrey Larson 001; Todd S. Munson; Joshua Auld; Dominik Karbowski (CoRR, 2017)

Scheduling double round-robin tournaments with divisional play using constraint programming. - Mats Carlsson; Mikael Johansson 001; Jeffrey Larson 001 (Eur. J. Oper. Res., 2017)

Asynchronously parallel optimization solver for finding multiple minima. - Jeffrey Larson 001; Stefan M. Wild (Math. Program. Comput., 2018)

Manifold Sampling for Optimization of Nonconvex Functions That Are Piecewise Linear Compositions of Smooth Components. - Kamil A. Khan; Jeffrey Larson 001; Stefan M. Wild (SIAM J. Optim., 2018)

Multistart Methods for Quantum Approximate optimization. - Ruslan Shaydulin; Ilya Safro; Jeffrey Larson 001 (HPEC, 2019)

Derivative-free optimization methods. - Jeffrey Larson 001; Matt Menickelly; Stefan M. Wild (Acta Numer., 2019)

Managing Computationally Expensive Blackbox Multiobjective Optimization Problems Wwth Libensemble. - Tyler H. Chang; Jeffrey Larson 001; Layne T. Watson; Thomas C. H. Lux (SpringSim, 2020)

Multiobjective Optimization of the Variability of the High-Performance Linpack Solver. - Tyler H. Chang; Jeffrey Larson 001; Layne T. Watson (WSC, 2020)

CutQC: using small Quantum computers for large Quantum circuit evaluations. - Wei Tang; Teague Tomesh; Martin Suchara; Jeffrey Larson 001; Margaret Martonosi (ASPLOS, 2021)

Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education. - Henri Casanova; Ewa Deelman; Sandra Gesing; Michael D. Hildreth; Stephen Hudson; William Koch; Jeffrey Larson 001; Mary Ann McDowell; Natalie Meyers; John-Luke Navarro; George Papadimitriou 002; Ryan Tanaka; et al. (WORKS, 2021)

LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach. - Ethan Smith; Marc Grau Davis; Jeffrey M. Larson; Ed Younis; Costin Iancu; Wim Lavrijsen (CoRR, 2021)

A method for convex black-box integer global optimization. - Jeffrey Larson 001; Sven Leyffer; Prashant Palkar; Stefan M. Wild (J. Glob. Optim., 2021)

Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions. - Jeffrey Larson 001; Matt Menickelly; Baoyu Zhou (SIAM J. Optim., 2021)

Multiangle QAOA Does Not Always Need All Its Angles. - Kaiyan Shi; Rebekah Herrman; Ruslan Shaydulin; Shouvanik Chakrabarti; Marco Pistoia; Jeffrey Larson 001 (SEC, 2022)

Characterizing Error Mitigation by Symmetry Verification in QAOA. - Ashish Kakkar; Jeffrey Larson 001; Alexey Galda; Ruslan Shaydulin (QCE, 2022)

Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. - Ishan Abhinit; Emily K. Adams; Khairul Alam; Brian Chase; Ewa Deelman; Lev Gorenstein; Stephen Hudson; Tanzima Z. Islam; Jeffrey Larson 001; Geoffrey Lentner; Anirban Mandal; John-Luke Navarro; et al. (WORKS@SC, 2022)

Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization. - Tianyi Hao 005; Ruslan Shaydulin; Marco Pistoia; Jeffrey Larson 001 (CoRR, 2022)

A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation. - Fengqiao Luo; Jeffrey Larson 001 (Oper. Res., 2022)

Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints. - Christian Kirches; Jeffrey Larson 001; Sven Leyffer; Paul Manns (SIAM J. Optim., 2022)

Algorithm 1028: VTMOP: Solver for Blackbox Multiobjective Optimization Problems. - Tyler H. Chang; Layne T. Watson; Jeffrey Larson 001; Nicole Neveu; William I. Thacker; Shubhangi G. Deshpande; Thomas C. H. Lux (ACM Trans. Math. Softw., 2022)

libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations. - Stephen Hudson; Jeffrey Larson 001; John-Luke Navarro; Stefan M. Wild (IEEE Trans. Parallel Distributed Syst., 2022)

QContext: Context-Aware Decomposition for Quantum Gates. - Ji Liu 007; Max Bowman; Pranav Gokhale; Siddharth Dangwal; Jeffrey Larson 001; Frederic T. Chong; Paul D. Hovland (ISCAS, 2023)

Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. - Ruslan Shaydulin; Changhao Li; Shouvanik Chakrabarti; Matthew DeCross; Dylan Herman; Niraj Kumar 005; Jeffrey Larson 001; Danylo Lykov; Pierre Minssen; Yue Sun; Yuri Alexeev; Joan M. Dreiling; et al. (CoRR, 2023)

Comparison of multiobjective optimization methods for the LCLS-II photoinjector. - Nicole Neveu; Tyler H. Chang; Paris Franz; Stephen Hudson; Jeffrey Larson 001 (Comput. Phys. Commun., 2023)

Binary Control Pulse Optimization for Quantum Systems. - Xinyu Fei; Lucas T. Brady; Jeffrey Larson 001; Sven Leyffer; Siqian Shen (Quantum, 2023)

Modeling approaches for addressing unrelaxable bound constraints with unconstrained optimization methods. - Jeffrey Larson 001; Misha Padidar; Stefan M. Wild (Optim. Lett., 2023)

Code from "Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem". - Ruslan Shaydulin; Changhao Li; Shouvanik Chakrabarti; Matthew DeCross; Dylan Herman; Niraj Kumar 005; Jeffrey Larson 001; Danylo Lykov; Pierre Minssen; Yue Sun; Yuri Alexeev; Joan M. Dreiling; et al. (Zenodo, 2023)

End-to-End Protocol for High-Quality QAOA Parameters with Few Shots. - Tianyi Hao 005; Zichang He; Ruslan Shaydulin; Jeffrey Larson 001; Marco Pistoia (CoRR, 2024)

Electric vehicle supply equipment location and capacity allocation for fixed-route networks. - Amir Davatgari; Taner Cokyasar; Anirudh Subramanyam; Jeffrey Larson 001; Abolfazl (Kouros) Mohammadian (Eur. J. Oper. Res., 2024)

Structure-aware methods for expensive derivative-free nonsmooth composite optimization. - Jeffrey Larson 001; Matt Menickelly (Math. Program. Comput., 2024)

Multistart algorithm for identifying all optima of nonconvex stochastic functions. - Prateek Jaiswal; Jeffrey Larson 001 (Optim. Lett., 2024)

Correction: Multistart algorithm for identifying all optima of nonconvex stochastic functions. - Prateek Jaiswal; Jeffrey Larson 001 (Optim. Lett., 2024)

An Empirical Quantile Estimation Approach for Chance-Constrained Nonlinear Optimization Problems. - Fengqiao Luo; Jeffrey Larson 001 (J. Optim. Theory Appl., 2024)

State Dependent Optimization with Quantum Circuit Cutting. - Xinpeng Li; Ji Liu 007; Jeffrey M. Larson; Shuai Xu; Sundararaja Sitharama Iyengar; Paul D. Hovland; Vipin Chaudhary (ISVLSI, 2025)

Portable, heterogeneous ensemble workflows at scale using libEnsemble. - Stephen Hudson; Jeffrey Larson 001; John-Luke Navarro; Stefan M. Wild (Int. J. High Perform. Comput. Appl., 2025)

Integrating ytopt and libEnsemble to autotune OpenMC. - Xingfu Wu; John R. Tramm; Jeffrey Larson 001; John-Luke Navarro; Prasanna Balaprakash; Brice Videau; Michael Kruse; Paul D. Hovland; Valerie Taylor 001; Mary W. Hall (Int. J. High Perform. Comput. Appl., 2025)

Binary Quantum Control Optimization with Uncertain Hamiltonians. - Xinyu Fei; Lucas T. Brady; Jeffrey Larson 001; Sven Leyffer; Siqian Shen (INFORMS J. Comput., 2025)

A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms. - Jeffrey Larson 001; Matt Menickelly; Jiahao Shi (INFORMS J. Comput., 2025)

Certified randomness using a trapped-ion quantum processor. - Minzhao Liu; Ruslan Shaydulin; Pradeep Niroula; Matthew DeCross; Shih-Han Hung; Wen Yu Kon; Enrique Cervero Martín; Kaushik Chakraborty; Omar Amer; Scott Aaronson; Atithi Acharya; Yuri Alexeev; et al. (Nat., 2025)