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Andrew Delong
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2020 – today
- 2020
- [c13]Yingcong Tan, Daria Terekhov, Andrew Delong:
Learning Linear Programs from Optimal Decisions. NeurIPS 2020 - [i4]Yingcong Tan, Daria Terekhov, Andrew Delong:
Learning Linear Programs from Optimal Decisions. CoRR abs/2006.08923 (2020)
2010 – 2019
- 2019
- [c12]Yingcong Tan, Andrew Delong, Daria Terekhov:
Deep Inverse Optimization. CPAIOR 2019: 540-556 - 2018
- [j5]Michael K. K. Leung, Andrew Delong, Brendan J. Frey:
Inference of the human polyadenylation code. Bioinform. 34(17): 2889-2898 (2018) - [i3]Yingcong Tan, Andrew Delong, Daria Terekhov:
Deep Inverse Optimization. CoRR abs/1812.00804 (2018) - 2017
- [j4]Lena Gorelick, Yuri Boykov, Olga Veksler
, Ismail Ben Ayed, Andrew Delong:
Local Submodularization for Binary Pairwise Energies. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 1985-1999 (2017) - [c11]Michael K. K. Leung, Andrew Delong, Brendan J. Frey:
Inference of the Human Polyadenylation Code. RECOMB 2017: 379 - [i2]Nathan Killoran, Leo J. Lee, Andrew Delong, David Duvenaud, Brendan J. Frey:
Generating and designing DNA with deep generative models. CoRR abs/1712.06148 (2017) - 2016
- [j3]Michael K. K. Leung, Andrew Delong, Babak Alipanahi
Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets. Proc. IEEE 104(1): 176-197 (2016) - 2014
- [c10]Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong:
Submodularization for Binary Pairwise Energies. CVPR 2014: 1154-1161 - 2013
- [i1]Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong:
Submodularization for Quadratic Pseudo-Boolean Optimization. CoRR abs/1311.1856 (2013) - 2012
- [j2]Andrew Delong, Anton Osokin
Fast Approximate Energy Minimization with Label Costs. Int. J. Comput. Vis. 96(1): 1-27 (2012) - [j1]Andrew Delong, Lena Gorelick, Olga Veksler, Yuri Boykov:
Minimizing Energies with Hierarchical Costs. Int. J. Comput. Vis. 100(1): 38-58 (2012) - [c9]Andrew Delong, Olga Veksler, Yuri Boykov:
Fast Fusion Moves for Multi-model Estimation. ECCV (1) 2012: 370-384 - [c8]Lena Gorelick, Frank R. Schmidt, Yuri Boykov, Andrew Delong, Aaron D. Ward
Segmentation with Non-linear Regional Constraints via Line-Search Cuts. ECCV (1) 2012: 583-597 - [c7]Andrew Delong, Olga Veksler, Anton Osokin, Yuri Boykov:
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover. NIPS 2012: 971-979 - 2011
- [c6]Andrew Delong, Lena Gorelick, Frank R. Schmidt, Olga Veksler, Yuri Boykov:
Interactive Segmentation with Super-Labels. EMMCVPR 2011: 147-162 - [c5]Lena Gorelick, Andrew Delong, Olga Veksler, Yuri Boykov:
Recursive MDL via graph cuts: Application to segmentation. ICCV 2011: 890-897 - 2010
- [c4]Andrew Delong, Anton Osokin
Fast approximate energy minimization with label costs. CVPR 2010: 2173-2180
2000 – 2009
- 2009
- [c3]Andrew Delong, Yuri Boykov:
Globally optimal segmentation of multi-region objects. ICCV 2009: 285-292 - 2008
- [c2]Andrew Delong, Yuri Boykov:
A Scalable graph-cut algorithm for N-D grids. CVPR 2008 - 2006
- [c1]Yuri Boykov, Vladimir Kolmogorov, Daniel Cremers
An Integral Solution to Surface Evolution PDEs Via Geo-cuts. ECCV (3) 2006: 409-422
Coauthor Index
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