Papers

• Optimizing Supply Chain Networks with the Power of Graph Neural Networks (2025)
  Chi-Sheng Chen et al.
  5.79
• From World Models to World Action Models: A Concise Tutorial for Robotics (2026)
  Xiaoxiong Zhang et al.
  4.39
• Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority (2026)
  Philip-Roman Adam et al.
  4.39
• Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft (2026)
  Zeynep Engin et al.
  4.39
• Engineering Trustworthy Agentic AI for Critical Systems (2026)
  Omar Al-Refai et al.
  4.39
• Variational meta-learning inference for low dimensional neural system identification (2026)
  Matteo Rufolo et al.
  4.39
• Market Strategy Evaluation for Prosumers in Local Electricity Markets (2026)
  Lukas Peter Wagner et al.
  3.51
• Deep Sequence Modeling of Consumer Demand Response for Next-Generation Distribution Grids (2026)
  Deepika Yadav et al.
  1.94
• Bridging Deep Learning and Integer Linear Programming: A Predictive-to-Prescriptive Framework for Supply Chain Analytics (2026)
  Khai Banh Nghiep and Duc Nguyen Minh and Lan Hoang Thi
  1.83
• One Global Model, Many Behaviors: Stockout-Aware Feature Engineering and Dynamic Scaling for Multi-Horizon Retail Demand Forecasting with a Cost-Aware Ordering Policy (VN2 Winner Report) (2026)
  Bartosz Szab{\l}owski
  1.67
• ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting (2025)
  Jiacheng Shi and Haibin Wei and Jiang Wang and Xiaowei Xu and Longzhi Du and Taixu Jiang
  1.44
• Intelligent Routing for Sparse Demand Forecasting: A Comparative Evaluation of Selection Strategies (2025)
  Qiwen Zhang
  1.28
• Note on Evolution and Forecasting of Requirements: Communications Example (2017)
  Mark Sh. Levin
  —
• Demand forecasting techniques for build-to-order lean manufacturing supply chains (2019)
  Rodrigo Rivera-Castro and Ivan Nazarov and Yuke Xiang and Alexander Pletneev and Ivan Maksimov and Evgeny Burnaev
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• An industry case of large-scale demand forecasting of hierarchical components (2020)
  Rodrigo Rivera-Castro et al.
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• Periodic Freight Demand Estimation for Large-scale Tactical Planning (2021)
  Greta Laage and Emma Frejinger and Gilles Savard
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• A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case (2022)
  Nikita Jalodia et al.
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• On non-negative auto-correlated integer demand processes (2023)
  Lotte van Hezewijk et al.
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