Andrea Lodi
Artificial Intelligence · 2002–2021
A researcher in the Science corpus: 14 papers; trusts 121 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 128 citations into it; #9,920 of 35,345 by trust here, #12,761 by citations
- Computational Theory and Mathematics — 50 citations into it
- Computer Vision and Pattern Recognition — 42 citations into it
- Computer Networks and Communications — 41 citations into it; #1,849 of 9,886 by trust here, #1,744 by citations
- Industrial and Manufacturing Engineering — 35 citations into it; #117 of 2,521 by trust here, #567 by citations
- Management Science and Operations Research — 35 citations into it; #10,326 of 11,946 by trust here, #4,267 by citations
- Reinforcement Learning — 34 citations into it; #865 of 2,242 by trust here, #1,280 by citations
- Graph Learning — 33 citations into it
Whom Andrea Lodi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tobias Achterberg
- Yoshua Bengio
- Thorsten Joachims
- Silvano Martello
- Radford M. Neal
- Geoffrey E. Hinton
- Claude E. Shannon
- J. Urgen Schmidhuber
- Diederik P. Kingma
- Richard S. Sutton
Who trusts Andrea Lodi overall
- Matteo Fischetti
- Timo Berthold
- Pierre Bonami
- Yoshua Bengio
- Maxime Gasse
- François Soumis
- Pietro Belotti
- Eric Larsen
- Didier Chételat
- Quentin Cappart
Papers from Andrea Lodi's perspective
Ordered by how strongly the researchers Andrea Lodi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon (2018) — 1,843 citations
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (2019) — 647 citations
- Combinatorial optimization and reasoning with graph neural networks (2021) — 498 citations
- On learning and branching: a survey (2017) — 212 citations
- On handling indicator constraints in mixed integer programming (2016) — 113 citations
- Performance Variability in Mixed-Integer Programming (2013) — 141 citations
- The feasibility pump (2005) — 455 citations
- A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs (2019) — 31 citations
- Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information (2018) — 52 citations
- Two‐Dimensional Bin Packing Problems (2014) — 49 citations
- On the optimal design of water distribution networks: a practical MINLP approach (2012) — 233 citations
- Local branching (2003) — 723 citations
- Two-dimensional packing problems: A survey (2002) — 874 citations
- Recent advances on two-dimensional bin packing problems (2002) — 354 citations