Jan Kronqvist - RankMe

39 papers A* 3B 1C 1Journal 29Unranked 5

Year	Rank	Type	Title / 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