Papers

• Tensor Network Kernel Machines: A JAX Framework for Machine Learning and Nonlinear System Identification (2026)
  Albert Saiapin et al.
  4.81
• A Fortran General-Purpose Transpiler: Proof of Concept (2026)
  Shivamshan Sivanesan et al.
  2.00
• Binary Matrix Guessing Problem (2017)
  \c{C}a\u{g}r{\i} Latifo\u{g}lu
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• Manyopt: An Extensible Tool for Mixed, Non-Linear Optimization Through SMT Solving (2017)
  Andrea Callia D'Iddio and Michael Huth
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• Global Model Interpretation via Recursive Partitioning (2018)
  Chengliang Yang et al.
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• Deep Neural Decision Trees (2018)
  Yongxin Yang and Irene Garcia Morillo and Timothy M. Hospedales
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• Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP (2018)
  Marcelo O. R. Prates et al.
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• Learning to Project in Multi-Objective Binary Linear Programming (2019)
  Alvaro Sierra-Altamiranda et al.
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• Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction (2019)
  Jian-Ya Ding et al.
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• Optimising Optimisers with Push GP (2019)
  Michael Lones
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• Learning the Markov Decision Process in the Sparse Gaussian Elimination (2021)
  Yingshi Chen
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• bsnsing: A decision tree induction method based on recursive optimal boolean rule composition (2022)
  Yanchao Liu
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• Learning optimal objective values for MILP (2024)
  Lara Scavuzzo et al.
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