William G. Macready

CoRR, 2022

Neural-Guided Runtime Prediction of Planners for Improved Motion and Task Planning with Graph Neural Networks.

[BibT_eX]

[DOI]

Simon Odense

Kamal Gupta

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2020

Solving SAT (and MaxSAT) with a quantum annealer: Foundations, encodings, and preliminary results.

[BibT_eX]

[DOI]

Inf. Comput., 2020

Undirected Graphical Models as Approximate Posteriors.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning Undirected Posteriors by Backpropagation through MCMC Updates.

[BibT_eX]

[DOI]

CoRR, 2019

A Robust Learning Approach to Domain Adaptive Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Weakly Supervised Semantic Image Segmentation with Self-correcting Networks.

[BibT_eX]

[DOI]

Mostafa S. Ibrahim

CoRR, 2018

Improved Gradient-Based Optimization Over Discrete Distributions.

[BibT_eX]

[DOI]

CoRR, 2018

DVAE++: Discrete Variational Autoencoders with Overlapping Transformations.

[BibT_eX]

[DOI]

CoRR, 2018

DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

DVAE++: Discrete Variational Autoencoders with Overlapping Transformations.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Solving SAT and MaxSAT with a Quantum Annealer: Foundations and a Preliminary Report.

[BibT_eX]

[DOI]

Proceedings of the Frontiers of Combining Systems - 11th International Symposium, 2017

2016

Generalized Ramsey numbers through adiabatic quantum optimization.

[BibT_eX]

[DOI]

Quantum Inf. Process., 2016

Mapping Constrained Optimization Problems to Quantum Annealing with Application to Fault Diagnosis.

[BibT_eX]

[DOI]

Frontiers ICT, 2016

Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines.

[BibT_eX]

[DOI]

CoRR, 2016

2014

A practical heuristic for finding graph minors.

[BibT_eX]

[DOI]

Jun Cai

Aidan Roy

CoRR, 2014

2012

Investigating the performance of an adiabatic quantum optimization processor.

[BibT_eX]

[DOI]

Quantum Inf. Process., 2012

QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization.

[BibT_eX]

[DOI]

Proceedings of the 4th Asian Conference on Machine Learning, 2012

2009

Training a Large Scale Classifier with the Quantum Adiabatic Algorithm

[BibT_eX]

[DOI]

CoRR, 2009

2008

Distributed Constrained Optimization with Semicoordinate Transformations

[BibT_eX]

[DOI]

CoRR, 2008

2007

Using self-dissimilarity to quantify complexity.

[BibT_eX]

[DOI]

Complex., 2007

2005

Coevolutionary free lunches.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2005

2004

Parameter space exploration with Gaussian process trees.

[BibT_eX]

[DOI]

Robert B. Gramacy

Herbert K. H. Lee

Proceedings of the Machine Learning, 2004

2001

Remarks on a recent paper on the "no free lunch" theorems.

[BibT_eX]

[DOI]

Mario Köppen

IEEE Trans. Evol. Comput., 2001

1999

An Efficient Method To Estimate Bagging's Generalization Error.

[BibT_eX]

[DOI]

Mach. Learn., 1999

Learning landscapes: regression on discrete spaces.

[BibT_eX]

[DOI]

Bennett S. Levitan

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

Bandit problems and the exploration/exploitation tradeoff.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 1998

Tailoring Mutation to Landscape Properties.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

1997

No free lunch theorems for optimization.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 1997

1996

What makes an optimization problem hard?

[BibT_eX]

[DOI]

Complex., 1996

1995

Technological evolution and adaptive organizations: <i>Ideas from biology may find applications in economics</i>.

[BibT_eX]

[DOI]

Stuart A. Kauffman