Jan Kronqvist

39 papers A* 3B 1C 1Journal 29Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
50 years of mixed-integer nonlinear and disjunctive programming.
Eur. J. Oper. Res.
Jan Kronqvist, David E. Bernal Neira, Ignacio E. Grossmann
2026 J jnl
Radiation therapy patient scheduling using a column generation approach: an algorithmic framework and a single-institution study.
Ann. Oper. Res.
Sara Frimodig, Per Enqvist, Jan Kronqvist, Carole Mercier, Geert De Kerf
2025 J jnl
A cutting plane algorithm for globally solving low-dimensional k-means problems.
Optim. Lett.
Martin Ryner, Jan Kronqvist, Johan Karlsson
2025 — conf
Convex Quadratic Programming-Based Predictors: An Algorithmic Framework and a Study of Possibilities and Computational Challenges.
LION (2)
Linnéa Gyllberg, Shudian Zhao, Jan Kronqvist
2025 — conf
Multi-Phased Integration of Charging Infrastructure Optimization.
ITSC
Joas Kahlert, Jiali Fu, Chengxi Liu, Johanna Skåntorp, Jan Kronqvist
2025 C conf
On the Real-Time Compliance of Moving-Horizon Simultaneous Input-and-State Estimation Problems.
ACC
Mikael Manngård, Dimitrios Bouzoulas, Urho Hakonen, Raine Viitala, Jan Kronqvist
2025 J jnl
PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models.
IEEE Access
Michel Gokan Khan, Renan Guarese, Fabian Johnson, Xi Vincent Wang, Anders Bergman, Benjamin Edvinsson, Mario Romero, Jérémy Vachier, Jan Kronqvist
2025 J jnl
PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models.
CoRR
Michel Gokan Khan, Renan Guarese, Fabian Johnson, Xi Vincent Wang, Anders Bergman, Benjamin Edvinsson, Mario Romero, Jérémy Vachier, Jan Kronqvist
2025 J jnl
Solution polishing via path relinking for continuous black-box optimization.
Optim. Lett.
Dimitri J. Papageorgiou, Jan Kronqvist, Asha Ramanujam, James Kor, Youngdae Kim, Can Li
2024 J jnl
A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learning.
CoRR
Alireza Olama, Andreas Lundell, Jan Kronqvist, Elham Ahmadi, Eduardo Camponogara
2024 J jnl
A constrained optimization approach to improve robustness of neural networks.
CoRR
Shudian Zhao, Jan Kronqvist
2024 J jnl
A cutting plane algorithm for globally solving low dimensional k-means clustering problems.
CoRR
Martin Ryner, Jan Kronqvist, Johan Karlsson
2024 J jnl
On Optimizing Ensemble Models using Column Generation.
J. Optim. Theory Appl.
Vanya Aziz, Ouyang Wu, Ivo Nowak, Eligius M. T. Hendrix, Jan Kronqvist
2023 — conf
Alternating Mixed-Integer Programming and Neural Network Training for Approximating Stochastic Two-Stage Problems.
LOD (2)
Jan Kronqvist, Boda Li, Jan Rolfes, Shudian Zhao
2023 A* conf
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces.
NeurIPS
Martin Ryner, Jan Kronqvist, Johan Karlsson
2023 J jnl
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces.
CoRR
Martin Ryner, Jan Kronqvist, Johan Karlsson
2023 — conf
Model-Based Feature Selection for Neural Networks: A Mixed-Integer Programming Approach.
LION
Shudian Zhao, Calvin Tsay, Jan Kronqvist
2023 J jnl
Model-based feature selection for neural networks: A mixed-integer programming approach.
CoRR
Shudian Zhao, Calvin Tsay, Jan Kronqvist
2023 J jnl
Sparse convex optimization toolkit: a mixed-integer framework.
Optim. Methods Softw.
Alireza Olama, Eduardo Camponogara, Jan Kronqvist
2022 J jnl
Alternative regularizations for Outer-Approximation algorithms for convex MINLP.
J. Glob. Optim.
David E. Bernal, Zedong Peng, Jan Kronqvist, Ignacio E. Grossmann
2022 J jnl
Maximizing information from chemical engineering data sets: Applications to machine learning.
CoRR
Alexander Thebelt, Johannes Wiebe, Jan Kronqvist, Calvin Tsay, Ruth Misener
2022 J jnl
P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints.
CoRR
Jan Kronqvist, Ruth Misener, Calvin Tsay
2022 J jnl
Polyhedral approximation strategies for nonconvex mixed-integer nonlinear programming in SHOT.
J. Glob. Optim.
Andreas Lundell, Jan Kronqvist
2022 J jnl
Simulation-based optimization of distillation processes using an extended cutting plane algorithm.
Comput. Chem. Eng.
Juan Javaloyes-Anton, Jan Kronqvist, José Antonio Caballero
2022 J jnl
The supporting hyperplane optimization toolkit for convex MINLP.
J. Glob. Optim.
Andreas Lundell, Jan Kronqvist, Tapio Westerlund
2021 B conf
Between Steps: Intermediate Relaxations Between Big-M and Convex Hull Formulations.
CPAIOR
Jan Kronqvist, Ruth Misener, Calvin Tsay
2021 J jnl
Between steps: Intermediate relaxations between big-M and convex hull formulations.
CoRR
Jan Kronqvist, Ruth Misener, Calvin Tsay
2021 J jnl
ENTMOOT: A framework for optimization over ensemble tree models.
Comput. Chem. Eng.
Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener
2021 A* conf
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks.
NeurIPS
Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener
2021 J jnl
Partition-based formulations for mixed-integer optimization of trained ReLU neural networks.
CoRR
Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener
2020 J jnl
ENTMOOT: A Framework for Optimization over Ensemble Tree Models.
CoRR
Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener
2020 A* conf
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis.
AAAI
Elena Botoeva, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, Ruth Misener
2020 J jnl
Using regularization and second order information in outer approximation for convex MINLP.
Math. Program.
Jan Kronqvist, David E. Bernal, Ignacio E. Grossmann
2019 J jnl
A center-cut algorithm for quickly obtaining feasible solutions and solving convex MINLP problems.
Comput. Chem. Eng.
Jan Kronqvist, David E. Bernal, Andreas Lundell, Tapio Westerlund
2019 — conf
On Solving Nonconvex MINLP Problems with SHOT.
WCGO
Andreas Lundell, Jan Kronqvist
2018 J jnl
Reformulations for utilizing separability when solving convex MINLP problems.
J. Glob. Optim.
Jan Kronqvist, Andreas Lundell, Tapio Westerlund
2018 J jnl
Structural learning in artificial neural networks using sparse optimization.
Neurocomputing
Mikael Manngård, Jan Kronqvist, Jari M. Böling
2017 J jnl
Method for solving generalized convex nonsmooth mixed-integer nonlinear programming problems.
J. Glob. Optim.
Ville-Pekka Eronen, Jan Kronqvist, Tapio Westerlund, Marko M. Mäkelä, Napsu Karmitsa
2016 J jnl
The extended supporting hyperplane algorithm for convex mixed-integer nonlinear programming.
J. Glob. Optim.
Jan Kronqvist, Andreas Lundell, Tapio Westerlund