Steven Diamond

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 25

Top Topics

Organizing Committee

Image Processing

Stochastic Optimization

Convex Optimization

Top Venues

ACM Trans. Graph.

J. Mach. Learn. Res.

Publications

Maximilian Schaller, Goran Banjac, Steven Diamond, Akshay Agrawal, Bartolomeo Stellato, Stephen P. Boyd
Embedded Code Generation With CVXPY. IEEE Control. Syst. Lett. 6 (2022)
Eric Luxenberg, Stephen P. Boyd, Mykel J. Kochenderfer, Misha van Beek, Wen Cao, Steven Diamond, Alex Ulitsky, Kunal Menda, Vidy Vairavamurthy
Strategic Asset Allocation with Illiquid Alternatives. CoRR (2022)
Steven Diamond, Vincent Sitzmann, Frank D. Julca-Aguilar, Stephen P. Boyd, Gordon Wetzstein, Felix Heide
Dirty Pixels: Towards End-to-end Image Processing and Perception. ACM Trans. Graph. 40 (3) (2021)
Felix Heide, Matthew O'Toole, Kai Zang, David B. Lindell, Steven Diamond, Gordon Wetzstein
Non-line-of-sight Imaging with Partial Occluders and Surface Normals. ACM Trans. Graph. 38 (3) (2019)
Akshay Agrawal, Steven Diamond, Stephen P. Boyd
Disciplined geometric programming. Optim. Lett. 13 (5) (2019)
Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter
Differentiable Convex Optimization Layers. CoRR (2019)
Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter
Differentiable Convex Optimization Layers. NeurIPS (2019)
Akshay Agrawal, Robin Verschueren, Steven Diamond, Stephen P. Boyd
A rewriting system for convex optimization problems. J. Control. Decis. 5 (1) (2018)
Akshay Agrawal, Steven Diamond, Stephen P. Boyd
Disciplined Geometric Programming. CoRR (2018)
Steven Diamond, Reza Takapoui, Stephen P. Boyd
A general system for heuristic minimization of convex functions over non-convex sets. Optim. Methods Softw. 33 (1) (2018)
Vincent Sitzmann, Steven Diamond, Yifan Peng, Xiong Dun, Stephen P. Boyd, Wolfgang Heidrich, Felix Heide, Gordon Wetzstein
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging. ACM Trans. Graph. 37 (4) (2018)
Ping Yin, Steven Diamond, Bill Lin, Stephen P. Boyd
Network Optimization for Unified Packet and Circuit Switched Networks. CoRR (2018)
David Hallac, Christopher Wong, Steven Diamond, Abhijit Sharang, Rok Sosic, Stephen P. Boyd, Jure Leskovec
SnapVX: A Network-Based Convex Optimization Solver. J. Mach. Learn. Res. 18 (2017)
Akshay Agrawal, Robin Verschueren, Steven Diamond, Stephen P. Boyd
A Rewriting System for Convex Optimization Problems. CoRR (2017)
Stephen P. Boyd, Enzo Busseti, Steven Diamond, Ronald N. Kahn, Kwangmoo Koh, Peter Nystrup, Jan Speth
Multi-Period Trading via Convex Optimization. Found. Trends Optim. 3 (1) (2017)
Steven Diamond, Vincent Sitzmann, Felix Heide, Gordon Wetzstein
Unrolled Optimization with Deep Priors. CoRR (2017)
Steven Diamond, Vincent Sitzmann, Stephen P. Boyd, Gordon Wetzstein, Felix Heide
Dirty Pixels: Optimizing Image Classification Architectures for Raw Sensor Data. CoRR (2017)
Felix Heide, Matthew O'Toole, Kai Zhang, David B. Lindell, Steven Diamond, Gordon Wetzstein
Robust Non-line-of-sight Imaging with Single Photon Detectors. CoRR (2017)
Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein
Reconstructing Transient Images from Single-Photon Sensors. CVPR (2017)
Steven Diamond, Stephen P. Boyd
Stochastic Matrix-Free Equilibration. J. Optim. Theory Appl. 172 (2) (2017)
Maria R. Lee, San Murugesan, Steven Diamond
Message from the ITiP Symposium Chairs. COMPSAC (2016)
Steven Diamond, Stephen P. Boyd
CVXPY: A Python-Embedded Modeling Language for Convex Optimization. J. Mach. Learn. Res. 17 (2016)
Matt Wytock, Steven Diamond, Felix Heide, Stephen P. Boyd
A New Architecture for Optimization Modeling Frameworks. PyHPC@SC (2016)
Xinyue Shen, Steven Diamond, Yuantao Gu, Stephen P. Boyd
Disciplined convex-concave programming. CDC (2016)
Felix Heide, Steven Diamond, Matthias Nießner, Jonathan Ragan-Kelley, Wolfgang Heidrich, Gordon Wetzstein
ProxImaL: efficient image optimization using proximal algorithms. ACM Trans. Graph. 35 (4) (2016)
Maria R. Lee, Steven Diamond, San Murugesan, John W. Walz, Sorel Reisman
Message from ITiP Symposium Organizing Committee. COMPSAC (2015)
Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd
Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization. UAI (2015)
David Hallac, Christopher Wong, Steven Diamond, Rok Sosic, Stephen P. Boyd, Jure Leskovec
SnapVX: A Network-Based Convex Optimization Solver. CoRR (2015)
Steven Diamond, Stephen P. Boyd
Convex Optimization with Abstract Linear Operators. ICCV (2015)
Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, Stephen P. Boyd
Convex optimization in Julia. HPTCDL@SC (2014)
Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, Stephen P. Boyd
Convex Optimization in Julia. CoRR (2014)
Nicolas Kokkalis, Johannes Huebner, Steven Diamond, Dominic Becker, Michael Chang, Moontae Lee, Florian Schulze, Thomas Köhn, Scott R. Klemmer
Automatically Providing Action Plans Helps People Complete Tasks. HCOMP@AAAI (2012)
David Bernstein, Erik Ludvigson, Krishna Sankar, Steven Diamond, Monique Morrow
Blueprint for the Intercloud - Protocols and Formats for Cloud Computing Interoperability. ICIW (2009)