# Tom Goldstein

According to our database

Collaborative distances:

^{1}, Tom Goldstein authored at least 49 papers between 2004 and 2018.Collaborative distances:

## Timeline

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## Bibliography

2018

PhaseMax: Convex Phase Retrieval via Basis Pursuit.

IEEE Trans. Information Theory, 2018

VLSI Designs for Joint Channel Estimation and Data Detection in Large SIMO Wireless Systems.

IEEE Trans. on Circuits and Systems, 2018

Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability.

Journal of Mathematical Imaging and Vision, 2018

Channel Charting: Locating Users Within the Radio Environment Using Channel State Information.

IEEE Access, 2018

Challenges for Machine Learning on Distributed Platforms (Invited Talk).

Proceedings of the 32nd International Symposium on Distributed Computing, 2018

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks.

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

Visualizing the Loss Landscape of Neural Nets.

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

VLSI Design of a 3-bit Constant-Modulus Precoder for Massive MU-MIMO.

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Linear Spectral Estimators and an Application to Phase Retrieval.

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

DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation.

Proceedings of the Computer Vision - ECCV 2018, 2018

PhaseLin: Linear phase retrieval.

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

2017

Quantized Precoding for Massive MU-MIMO.

IEEE Trans. Communications, 2017

Compressive Video Sensing: Algorithms, architectures, and applications.

IEEE Signal Process. Mag., 2017

Decentralized Baseband Processing for Massive MU-MIMO Systems.

IEEE J. Emerg. Sel. Topics Circuits Syst., 2017

1-bit Massive MU-MIMO Precoding in VLSI.

IEEE J. Emerg. Sel. Topics Circuits Syst., 2017

Training Quantized Nets: A Deeper Understanding.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

FPGA design of low-complexity joint channel estimation and data detection for large SIMO wireless systems.

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Convex Phase Retrieval without Lifting via PhaseMax.

Proceedings of the 34th International Conference on Machine Learning, 2017

Adaptive Consensus ADMM for Distributed Optimization.

Proceedings of the 34th International Conference on Machine Learning, 2017

Son of Zorn's lemma: Targeted style transfer using instance-aware semantic segmentation.

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

POKEMON: A non-linear beamforming algorithm for 1-bit massive MIMO.

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A New Rank Constraint on Multi-view Fundamental Matrices, and Its Application to Camera Location Recovery.

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation.

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Automated Inference with Adaptive Batches.

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Adaptive ADMM with Spectral Penalty Parameter Selection.

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

PhasePack: A phase retrieval library.

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Scalable Classifiers with ADMM and Transpose Reduction.

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Data Detection in Large Multi-Antenna Wireless Systems via Approximate Semidefinite Relaxation.

IEEE Trans. on Circuits and Systems, 2016

Deterministic Column Sampling for Low-Rank Matrix Approximation: Nyström vs. Incomplete Cholesky Decomposition.

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

FPGA design of approximate semidefinite relaxation for data detection in large MIMO wireless systems.

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Training Neural Networks Without Gradients: A Scalable ADMM Approach.

Proceedings of the 33nd International Conference on Machine Learning, 2016

Dealbreaker: A Nonlinear Latent Variable Model for Educational Data.

Proceedings of the 33nd International Conference on Machine Learning, 2016

Efficient Distributed SGD with Variance Reduction.

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Decentralized beamforming for massive MU-MIMO on a GPU cluster.

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Biconvex Relaxation for Semidefinite Programming in Computer Vision.

Proceedings of the Computer Vision - ECCV 2016, 2016

ShapeFit and ShapeKick for Robust, Scalable Structure from Motion.

Proceedings of the Computer Vision - ECCV 2016, 2016

Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity.

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction.

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Decentralized data detection for massive MU-MIMO on a Xeon Phi cluster.

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Nonlinear 1-bit precoding for massive MU-MIMO with higher-order modulation.

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

The STOne Transform: Multi-Resolution Image Enhancement and Compressive Video.

IEEE Trans. Image Processing, 2015

Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Layer-Specific Adaptive Learning Rates for Deep Networks.

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Exploiting Low-rank Structure for Discriminative Sub-categorization.

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Fast Alternating Direction Optimization Methods.

SIAM J. Imaging Sciences, 2014

2013

Adaptive step size selection for optimization via the ski rental problem.

Proceedings of the IEEE International Conference on Acoustics, 2013

2010

Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction.

J. Sci. Comput., 2010

2009

The Split Bregman Method for L1-Regularized Problems.

SIAM J. Imaging Sciences, 2009

2004

Perceptual speech quality assessment in acoustic and binaural applications.

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004