Learning combinatorial optimization algorithms over graphs E Khalil, H Dai, Y Zhang, B Dilkina, L Song Advances in neural information processing systems 30, 2017 | 1650 | 2017 |
Machine learning approaches for estimating commercial building energy consumption C Robinson, B Dilkina, J Hubbs, W Zhang, S Guhathakurta, MA Brown, ... Applied energy 208, 889-904, 2017 | 458 | 2017 |
Learning to branch in mixed integer programming E Khalil, P Le Bodic, L Song, G Nemhauser, B Dilkina Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 431 | 2016 |
Melding the data-decisions pipeline: Decision-focused learning for combinatorial optimization B Wilder, B Dilkina, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1658-1665, 2019 | 294 | 2019 |
Learning to Run Heuristics in Tree Search. EB Khalil, B Dilkina, GL Nemhauser, S Ahmed, Y Shao Ijcai, 659-666, 2017 | 170 | 2017 |
Scalable diffusion-aware optimization of network topology EB Khalil, B Dilkina, L Song Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 159 | 2014 |
Mipaal: Mixed integer program as a layer A Ferber, B Wilder, B Dilkina, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1504-1511, 2020 | 139 | 2020 |
Solving connected subgraph problems in wildlife conservation B Dilkina, CP Gomes International Conference on Integration of Artificial Intelligence (AI) and …, 2010 | 135 | 2010 |
Computational sustainability: Computing for a better world and a sustainable future C Gomes, T Dietterich, C Barrett, J Conrad, B Dilkina, S Ermon, F Fang, ... Communications of the ACM 62 (9), 56-65, 2019 | 114 | 2019 |
Maximizing the spread of cascades using network design D Sheldon, B Dilkina, AN Elmachtoub, R Finseth, A Sabharwal, J Conrad, ... arXiv preprint arXiv:1203.3514, 2012 | 111 | 2012 |
Large scale high-resolution land cover mapping with multi-resolution data C Robinson, L Hou, K Malkin, R Soobitsky, J Czawlytko, B Dilkina, N Jojic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 108 | 2019 |
A deep learning approach for population estimation from satellite imagery C Robinson, F Hohman, B Dilkina Proceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities, 47-54, 2017 | 107 | 2017 |
End to end learning and optimization on graphs B Wilder, E Ewing, B Dilkina, M Tambe Advances in Neural Information Processing Systems 32, 2019 | 97 | 2019 |
Firebird: Predicting fire risk and prioritizing fire inspections in Atlanta M Madaio, ST Chen, OL Haimson, W Zhang, X Cheng, M Hinds-Aldrich, ... Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 88* | 2016 |
Trade‐offs and efficiencies in optimal budget‐constrained multispecies corridor networks B Dilkina, R Houtman, CP Gomes, CA Montgomery, KS McKelvey, ... Conservation Biology 31 (1), 192-202, 2017 | 85 | 2017 |
Modeling migration patterns in the USA under sea level rise C Robinson, B Dilkina, J Moreno-Cruz Plos one 15 (1), e0227436, 2020 | 82 | 2020 |
Airsim-w: A simulation environment for wildlife conservation with uavs E Bondi, D Dey, A Kapoor, J Piavis, S Shah, F Fang, B Dilkina, ... Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018 | 81 | 2018 |
A machine learning approach to modeling human migration C Robinson, B Dilkina Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018 | 81 | 2018 |
BIRDSAI: A dataset for detection and tracking in aerial thermal infrared videos E Bondi, R Jain, P Aggrawal, S Anand, R Hannaford, A Kapoor, J Piavis, ... Proceedings of the IEEE/CVF Winter conference on applications of computer …, 2020 | 71 | 2020 |
Tradeoffs in the complexity of backdoor detection B Dilkina, CP Gomes, A Sabharwal Principles and Practice of Constraint Programming–CP 2007: 13th …, 2007 | 70 | 2007 |