Steven Diamond
Steven Diamond
BlackRock AI Labs
Verified email at - Homepage
Cited by
Cited by
CVXPY: A Python-embedded modeling language for convex optimization
S Diamond, S Boyd
The Journal of Machine Learning Research 17 (1), 2909-2913, 2016
A rewriting system for convex optimization problems
A Agrawal, R Verschueren, S Diamond, S Boyd
Journal of Control and Decision 5 (1), 42-60, 2018
Convex optimization in Julia
M Udell, K Mohan, D Zeng, J Hong, S Diamond, S Boyd
2014 First Workshop for High Performance Technical Computing in Dynamicá…, 2014
Unrolled optimization with deep priors
S Diamond, V Sitzmann, F Heide, G Wetzstein
arXiv preprint arXiv:1705.08041, 2017
Dirty pixels: Optimizing image classification architectures for raw sensor data
S Diamond, V Sitzmann, S Boyd, G Wetzstein, F Heide
arXiv preprint arXiv:1701.06487, 2017
A general system for heuristic minimization of convex functions over non-convex sets
S Diamond, R Takapoui, S Boyd
Optimization Methods and Software 33 (1), 165-193, 2018
Reconstructing transient images from single-photon sensors
M O'Toole, F Heide, DB Lindell, K Zang, S Diamond, G Wetzstein
Proceedings of the IEEE Conference on Computer Vision and Patterná…, 2017
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging
V Sitzmann, S Diamond, Y Peng, X Dun, S Boyd, W Heidrich, F Heide, ...
ACM Transactions on Graphics (TOG) 37 (4), 1-13, 2018
Multi-period trading via convex optimization
S Boyd, E Busseti, S Diamond, RN Kahn, K Koh, P Nystrup, J Speth
arXiv preprint arXiv:1705.00109, 2017
Proximal: Efficient image optimization using proximal algorithms
F Heide, S Diamond, M Nie▀ner, J Ragan-Kelley, W Heidrich, G Wetzstein
ACM Transactions on Graphics (TOG) 35 (4), 1-15, 2016
Non-line-of-sight imaging with partial occluders and surface normals
F Heide, M O’Toole, K Zang, DB Lindell, S Diamond, G Wetzstein
ACM Transactions on Graphics (ToG) 38 (3), 1-10, 2019
Matrix-free convex optimization modeling
S Diamond, S Boyd
Optimization and Its Applications in Control and Data Sciences 115, 221-264, 2015
Disciplined Convex-Concave Programming
X Shen, S Diamond, Y Gu, S Boyd
IEEE Conference on Decision and Control, 2016
Differentiable convex optimization layers
A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter
Advances in neural information processing systems, 9562-9574, 2019
Disciplined multi-convex programming
X Shen, S Diamond, M Udell, Y Gu, S Boyd
2017 29th Chinese Control And Decision Conference (CCDC), 895-900, 2017
Sub-picosecond photon-efficient 3D imaging using single-photon sensors
F Heide, S Diamond, DB Lindell, G Wetzstein
Scientific reports 8 (1), 1-8, 2018
SnapVX: A network-based convex optimization solver
D Hallac, C Wong, S Diamond, A Sharang, R Sosic, S Boyd, J Leskovec
The Journal of Machine Learning Research 18 (1), 110-114, 2017
Stochastic Matrix-Free Equilibration
S Diamond, S Boyd
Journal of Optimization Theory and Applications 172 (2), 436-454, 2016
Robust non-line-of-sight imaging with single photon detectors
F Heide, M O’Toole, K Zhang, D Lindell, S Diamond, G Wetzstein
arXiv preprint arXiv:1711.07134 1, 2017
Disciplined geometric programming
A Agrawal, S Diamond, S Boyd
Optimization Letters 13 (5), 961-976, 2019
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