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van Heeswijk

As seen in: arXiv, Frontiers in Immunology, Cancer Research
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Articles by van Heeswijk

Computer Science > Artificial Intelligence

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By van Heeswijk
| arXiv
Reinforcement learning has emerged as an effective approach for combinatorial optimization, but most existing methods focus on problems such as the Travelling Salesperson Problem (TSP) in which all elements must be served. Selective combinatorial optimization problems (SCOPs), including the Orienteering Problem (OP), Prize-Collecting TSP (PCTSP), Stochastic PCTSP and Knapsack Problem (KP), additionally require selecting which elements to include.
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IL-23 and monocyte interactions redirect human Th17.1 cells to an IL-17A high IFN-γ high potentially pathogenic profile

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By van Heeswijk, Anne-Marie M.C
| Frontiers in Immunology
Abstract Introduction: IL-23–targeted therapies have demonstrated clinical efficacy in psoriatic arthritis (PsA), primarily through the reduction of IL-17A–driven inflammation. Consequently, most studies have focused on classical, high IL-17A-producing, CCR6+CXCR3-CCR4+ Th17 cells.
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Computer Science > Machine Learning

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By van Heeswijk
| arXiv
Transitioning from bespoke time series models towards time series foundation models changes the relationship of model and application from one-to-one to one-to-many. This shift introduces concentration risk as many, potentially high-risk, forecasting applications are exposed to the same biases and failure modes of a single time series foundation model.
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Mathematics > Optimization and Control

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By van Heeswijk, Wouter van Heeswijk
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2602.15554] Efficient Road Renovation Scheduling under Uncertainty using Lower Bound Pruning

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By van Heeswijk
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2512.11187] Deep Learning--Accelerated Multi-Start Large Neighborhood Search for Real-time Freight Bundling

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By van Heeswijk, Wouter van Heeswijk, Xinyu Hu, Neil Yorke-Smith
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2506.05933] Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling

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By van Heeswijk
| arXiv
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[2503.09559] The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging

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By van Heeswijk, Shijie Chen, Amir Aghabiglou, Motahare Torki
| arXiv
Today Hugging Face is TRIPLING your donation to arXiv with a 2:1 match! Give today to keep science open for all.
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Deuterium Magnetic Resonance Imaging Using Deuterated Water-Induced 2H-Tissue Labeling Allows Monitoring Cancer Treatment at Clinical Field Strength

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By Abdelazim Elsayed, Suez Canal, van Heeswijk
| Cancer Research Verified
H. Asano: Conceptualization, resources, data curation, formal analysis, visualization, methodology, writing–original draft, writing–review and editing. A.E. Elhelaly: Conceptualization, resources, data curation, software, formal analysis, visualization, methodology, writing–original draft, writing–review and editing. F. Hyodo: Conceptualization, resources, supervision, funding acquisition, visualization. R. Iwasaki: Conceptualization, resources, data curation, software, formal analysis, methodology. Y.
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[2312.00140] The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs

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By van Steenbergen, van Heeswijk
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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