Bistra N. Dilkina
Artificial Intelligence · 2010–2021
A researcher in the Science corpus: 8 papers; trusts 48 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 69 citations into it; #11,261 of 35,345 by trust here, #8,439 by citations
- Computer Networks and Communications — 20 citations into it; #2,036 of 9,886 by trust here, #1,098 by citations
- Computational Theory and Mathematics — 18 citations into it
- Statistical and Nonlinear Physics — 18 citations into it; #7,812 of 10,127 by trust here, #9,682 by citations
- Computer Vision and Pattern Recognition — 17 citations into it
- Management Science and Operations Research — 15 citations into it; #10,987 of 11,946 by trust here, #6,563 by citations
- Optimization & Training — 14 citations into it; #2,274 of 2,601 by trust here, #2,568 by citations
- Industrial and Manufacturing Engineering — 11 citations into it
Whom Bistra N. Dilkina trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Tobias Achterberg
- Elias Boutros Khalil
- Edith Cohen
- Thomas G. Dietterich
- Diederik P. Kingma
- Yoshua Bengio
- Horst Samulowitz
- Richard S. Sutton
- Alex Krizhevsky
Who trusts Bistra N. Dilkina overall
- Elias Boutros Khalil
- Juan Pablo Vielma
- Aleksandar Bojchevski
- Yoshua Bengio
- Hanjun Dai
- Adam N. Elmachtoub
- Andrea Lodi
- Joseph D. Futoma
- Dimitris J. Bertsimas
- Vinod Nair
Papers from Bistra N. Dilkina's perspective
Ordered by how strongly the researchers Bistra N. Dilkina 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Et al
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Learning Combinatorial Optimization Algorithms over Graphs (2017) — 1,745 citations
- Learning to Branch in Mixed Integer Programming (2016) — 434 citations
- Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization (2018) — 390 citations
- Learning to Run Heuristics in Tree Search (2017) — 155 citations
- Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation (2021) — 80 citations
- Machine learning approaches for estimating commercial building energy consumption (2017)
- Scalable diffusion-aware optimization of network topology (2014) — 153 citations
- Solving Connected Subgraph Problems in Wildlife Conservation (2010) — 130 citations