Aaron Defazio

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Offset Masking Improves Deep Learning based Accelerated MRI Reconstructions pdf

Aaron Defazio, 2019, ArXiv.

On the Curved Geometry of Accelerated Optimization

Aaron Defazio, Aaron Defazio, 2018, NeurIPS.

Understanding the Role of Momentum in Non-Convex Optimization: Practical Insights from a Lyapunov Analysis pdf

Aaron Defazio, 2020, ArXiv.

Natural Language Question Answering Over Triple Knowledge Bases

Scott Sanner, Aaron Defazio, S. Sanner, 2009 .

End-to-End Variational Networks for Accelerated MRI Reconstruction pdf

Aaron Defazio, C. Lawrence Zitnick, Anuroop Sriram, 2020, MICCAI.

On the convergence of the Stochastic Heavy Ball Method pdf

Aaron Defazio, Robert M. Gower, Othmane Sebbouh, 2020, ArXiv.

A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation

Tibério S. Caetano, Aaron Defazio, Aaron Defazio, 2012, NIPS.

Methods of interpreting error estimates for grayscale image reconstructions

Mark Tygert, Aaron Defazio, 2019 .

Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields pdf

Mark W. Schmidt, Anoop Sarkar, Mohamed Osama Ahmed, 2015, AISTATS.

Offset Sampling Improves Deep Learning based Accelerated MRI Reconstructions by Exploiting Symmetry

Aaron Defazio, 2019 .

A Simple Practical Accelerated Method for Finite Sums

Aaron Defazio, Aaron Defazio, 2016, NIPS.

Factorial Powers for Stochastic Optimization pdf

Aaron Defazio, Robert M. Gower, Robert Mansel Gower, 2020, ArXiv.

Network Topology Tomography

Aaron Defazio, Aaron Defazio, 2010 .

MRI Banding Removal via Adversarial Training pdf

Aaron Defazio, Michael P. Recht, Tullie Murrell, 2020, NeurIPS.

GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction

Aaron Defazio, C. Lawrence Zitnick, Daniel K. Sodickson, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Controlling Covariate Shift using Equilibrium Normalization of Weights pdf

Léon Bottou, Aaron Defazio, 2018, ArXiv.

A Comparison of learning algorithms on the Arcade Learning Environment pdf

Thore Graepel, Aaron Defazio, T. Graepel, 2014, ArXiv.

On the Ineffectiveness of Variance Reduced Optimization for Deep Learning

Léon Bottou, Aaron Defazio, L. Bottou, 2018, NeurIPS.

Finito: A faster, permutable incremental gradient method for big data problems pdf

Justin Domke, Aaron Defazio, Tibério S. Caetano, 2014, ICML.

Scaling Laws for the Principled Design, Initialization and Preconditioning of ReLU Networks pdf

Aaron Defazio, L'eon Bottou, 2019, ArXiv.

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.

Michael Rabbat, Daniel K Sodickson, Krzysztof J. Geras, 2020, Radiology. Artificial intelligence.

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

Aaron Defazio, C. Lawrence Zitnick, Michael Rabbat, 2020, Magnetic resonance in medicine.

Item Fields -- A Probabilistic Neighbourhood Approach to Collaborative Filtering with Undirected Graphical Models

Aaron Defazio, Tibério S. Caetano, 2012 .

New Optimisation Methods for Machine Learning pdf

Aaron Defazio, Aaron Defazio, 2015, ArXiv.

SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives

Francis Bach, Aaron Defazio, Simon Lacoste-Julien, 2014, NIPS.

The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization

Aaron Defazio, Robert M. Gower, 2020 .

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI pdf

Pascal Vincent, James Pinkerton, Duo Wang, 2018, ArXiv.

Dual Averaging is Surprisingly Effective for Deep Learning Optimization pdf

Aaron Defazio, Samy Jelassi, Aaron Defazio, 2020, ArXiv.

A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training pdf

Tibério S. Caetano, Aaron Defazio, Aaron Defazio, 2012, ICML.

Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization pdf

Aaron Defazio, Samy Jelassi, Aaron Defazio, 2021, ArXiv.

Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball

Aaron Defazio, Robert M. Gower, Othmane Sebbouh, 2021, COLT.

Stochastic Polyak Stepsize with a Moving Target pdf

Aaron Defazio, Robert M. Gower, Robert Mansel Gower, 2021, ArXiv.

Using Deep Learning to Accelerate Knee MRI at 3T: Results of an Interchangeability Study.

Daniel K Sodickson, Aaron Defazio, Florian Knoll, 2020, AJR. American journal of roentgenology.