Jan Kronqvist

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Nonlinear Programming

Structural Learning

Top Venues

J. Glob. Optim.

Comput. Chem. Eng.

Publications

Martin Ryner, Jan Kronqvist, Johan Karlsson
A cutting plane algorithm for globally solving low dimensional k-means clustering problems. CoRR (2024)
Alireza Olama, Andreas Lundell, Jan Kronqvist, Elham Ahmadi, Eduardo Camponogara
A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learning. CoRR (2024)
Alireza Olama, Eduardo Camponogara, Jan Kronqvist
Sparse convex optimization toolkit: a mixed-integer framework. Optim. Methods Softw. 38 (6) (2023)
Jan Kronqvist, Boda Li, Jan Rolfes, Shudian Zhao
Alternating Mixed-Integer Programming and Neural Network Training for Approximating Stochastic Two-Stage Problems. LOD (2) (2023)
Martin Ryner, Jan Kronqvist, Johan Karlsson
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces. CoRR (2023)
Shudian Zhao, Calvin Tsay, Jan Kronqvist
Model-based feature selection for neural networks: A mixed-integer programming approach. CoRR (2023)
Martin Ryner, Jan Kronqvist, Johan Karlsson
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces. NeurIPS (2023)
Shudian Zhao, Calvin Tsay, Jan Kronqvist
Model-Based Feature Selection for Neural Networks: A Mixed-Integer Programming Approach. LION (2023)
Andreas Lundell, Jan Kronqvist, Tapio Westerlund
The supporting hyperplane optimization toolkit for convex MINLP. J. Glob. Optim. 84 (1) (2022)
David E. Bernal, Zedong Peng, Jan Kronqvist, Ignacio E. Grossmann
Alternative regularizations for Outer-Approximation algorithms for convex MINLP. J. Glob. Optim. 84 (4) (2022)
Alexander Thebelt, Johannes Wiebe, Jan Kronqvist, Calvin Tsay, Ruth Misener
Maximizing information from chemical engineering data sets: Applications to machine learning. CoRR (2022)
Andreas Lundell, Jan Kronqvist
Polyhedral approximation strategies for nonconvex mixed-integer nonlinear programming in SHOT. J. Glob. Optim. 82 (4) (2022)
Jan Kronqvist, Ruth Misener, Calvin Tsay
P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints. CoRR (2022)
Juan Javaloyes-Anton, Jan Kronqvist, José Antonio Caballero
Simulation-based optimization of distillation processes using an extended cutting plane algorithm. Comput. Chem. Eng. 159 (2022)
Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener
ENTMOOT: A framework for optimization over ensemble tree models. Comput. Chem. Eng. 151 (2021)
Jan Kronqvist, Ruth Misener, Calvin Tsay
Between Steps: Intermediate Relaxations Between Big-M and Convex Hull Formulations. CPAIOR (2021)
Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener
Partition-based formulations for mixed-integer optimization of trained ReLU neural networks. CoRR (2021)
Jan Kronqvist, Ruth Misener, Calvin Tsay
Between steps: Intermediate relaxations between big-M and convex hull formulations. CoRR (2021)
Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks. NeurIPS (2021)
Elena Botoeva, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, Ruth Misener
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis. AAAI (2020)
Jan Kronqvist, David E. Bernal, Ignacio E. Grossmann
Using regularization and second order information in outer approximation for convex MINLP. Math. Program. 180 (1) (2020)
Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener
ENTMOOT: A Framework for Optimization over Ensemble Tree Models. CoRR (2020)
Jan Kronqvist, David E. Bernal, Andreas Lundell, Tapio Westerlund
A center-cut algorithm for quickly obtaining feasible solutions and solving convex MINLP problems. Comput. Chem. Eng. 122 (2019)
Andreas Lundell, Jan Kronqvist
On Solving Nonconvex MINLP Problems with SHOT. WCGO (2019)
Mikael Manngård, Jan Kronqvist, Jari M. Böling
Structural learning in artificial neural networks using sparse optimization. Neurocomputing 272 (2018)
Jan Kronqvist, Andreas Lundell, Tapio Westerlund
Reformulations for utilizing separability when solving convex MINLP problems. J. Glob. Optim. 71 (3) (2018)
Ville-Pekka Eronen, Jan Kronqvist, Tapio Westerlund, Marko M. Mäkelä, Napsu Karmitsa
Method for solving generalized convex nonsmooth mixed-integer nonlinear programming problems. J. Glob. Optim. 69 (2) (2017)
Jan Kronqvist, Andreas Lundell, Tapio Westerlund
The extended supporting hyperplane algorithm for convex mixed-integer nonlinear programming. J. Glob. Optim. 64 (2) (2016)