Tom Goldstein

According to our database1, Tom Goldstein authored at least 100 papers between 2004 and 2019.

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Bibliography

2019
Adversarial Training for Free!
CoRR, 2019

The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent.
CoRR, 2019

ACE: Adapting to Changing Environments for Semantic Segmentation.
CoRR, 2019

Understanding the (un)interpretability of natural image distributions using generative models.
CoRR, 2019

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

Universal Adversarial Training.
CoRR, 2018

Are adversarial examples inevitable?
CoRR, 2018

Channel Charting: Locating Users within the Radio Environment using Channel State Information.
CoRR, 2018

Linear Spectral Estimators and an Application to Phase Retrieval.
CoRR, 2018

Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation.
CoRR, 2018

DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation.
CoRR, 2018

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks.
CoRR, 2018

VLSI Design of a 3-bit Constant-Modulus Precoder for Massive MU-MIMO.
CoRR, 2018

PhaseLin: Linear Phase Retrieval.
CoRR, 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

Stabilizing Adversarial Nets with Prediction Methods.
Proceedings of the 6th International Conference on Learning Representations, 2018

Unsupervised Charting of Wireless Channels.
Proceedings of the IEEE Global Communications Conference, 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

Visualizing the Loss Landscape of Neural Nets.
CoRR, 2017

PhasePack: A Phase Retrieval Library.
CoRR, 2017

PhasePack User Guide.
CoRR, 2017

VLSI Designs for Joint Channel Estimation and Data Detection in Large SIMO Wireless Systems.
CoRR, 2017

Stabilizing Adversarial Nets With Prediction Methods.
CoRR, 2017

Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability.
CoRR, 2017

A New Rank Constraint on Multi-view Fundamental Matrices, and its Application to Camera Location Recovery.
CoRR, 2017

Decentralized Baseband Processing for Massive MU-MIMO Systems.
CoRR, 2017

Training Quantized Nets: A Deeper Understanding.
CoRR, 2017

Son of Zorn's Lemma: Targeted Style Transfer Using Instance-aware Semantic Segmentation.
CoRR, 2017

1-bit Massive MU-MIMO Precoding in VLSI.
CoRR, 2017

Adaptive Consensus ADMM for Distributed Optimization.
CoRR, 2017

Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation.
CoRR, 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

Adaptive ADMM with Spectral Penalty Parameter Selection.
CoRR, 2016

Training Neural Networks Without Gradients: A Scalable ADMM Approach.
CoRR, 2016

Biconvex Relaxation for Semidefinite Programming in Computer Vision.
CoRR, 2016

Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity.
CoRR, 2016

Nonlinear 1-Bit Precoding for Massive MU-MIMO with Higher-Order Modulation.
CoRR, 2016

Quantized Precoding for Massive MU-MIMO.
CoRR, 2016

PhaseMax: Convex Phase Retrieval via Basis Pursuit.
CoRR, 2016

ShapeFit and ShapeKick for Robust, Scalable Structure from Motion.
CoRR, 2016

Big Batch SGD: Automated Inference using Adaptive Batch Sizes.
CoRR, 2016

Data Detection in Large Multi-Antenna Wireless Systems via Approximate Semidefinite Relaxation.
CoRR, 2016

Non-negative Factorization of the Occurrence Tensor from Financial Contracts.
CoRR, 2016

An Empirical Study of ADMM for Nonconvex Problems.
CoRR, 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

Layer-Specific Adaptive Learning Rates for Deep Networks.
CoRR, 2015

oASIS: Adaptive Column Sampling for Kernel Matrix Approximation.
CoRR, 2015

Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction.
CoRR, 2015

FASTA: A Generalized Implementation of Forward-Backward Splitting.
CoRR, 2015

Self-Expressive Decompositions for Matrix Approximation and Clustering.
CoRR, 2015

Scaling Up Distributed Stochastic Gradient Descent Using Variance Reduction.
CoRR, 2015

Variance Reduction for Distributed Stochastic Gradient Descent.
CoRR, 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

Democratic Representations.
CoRR, 2014

A Field Guide to Forward-Backward Splitting with a FASTA Implementation.
CoRR, 2014

Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit.
CoRR, 2014

2013
The STONE Transform: Multi-Resolution Image Enhancement and Real-Time Compressive Video.
CoRR, 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


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