Justin Romberg

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification

The attention mechanism has demonstrated superior performance for infere...
06/15/2020 ∙ by Rakshith S Srinivasa, et al. ∙ 0 ∙ share

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A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning

We develop a mathematical framework for solving multi-task reinforcement...
06/08/2020 ∙ by Sihan Zeng, et al. ∙ 4 ∙ share

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Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness

Motivated by broad applications in reinforcement learning and machine le...
03/24/2020 ∙ by Thinh T. Doan, et al. ∙ 0 ∙ share

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Localized sketching for matrix multiplication and ridge regression

We consider sketched approximate matrix multiplication and ridge regress...
03/20/2020 ∙ by Rakshith S Srinivasa, et al. ∙ 0 ∙ share

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Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices

Deep neural networks (DNNs) have been emerged as the state-of-the-art al...
11/09/2019 ∙ by Foroozan Karimzadeh, et al. ∙ 0 ∙ share

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Phase Retrieval of Low-Rank Matrices by Anchored Regression

We study the low-rank phase retrieval problem, where we try to recover a...
10/25/2019 ∙ by Kiryung Lee, et al. ∙ 0 ∙ share

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Convex Programming for Estimation in Nonlinear Recurrent Models

We propose a formulation for nonlinear recurrent models that includes si...
08/26/2019 ∙ by Sohail Bahmani, et al. ∙ 0 ∙ share

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Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation

We study the policy evaluation problem in multi-agent reinforcement lear...
07/25/2019 ∙ by Thinh T. Doan, et al. ∙ 0 ∙ share

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Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables

Deep learning models have significantly improved the visual quality and ...
02/19/2019 ∙ by Shaojie Xu, et al. ∙ 0 ∙ share

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Appearance-based Gesture recognition in the compressed domain

We propose a novel appearance-based gesture recognition algorithm using ...
02/19/2019 ∙ by Shaojie Xu, et al. ∙ 0 ∙ share

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Trading beams for bandwidth: Imaging with randomized beamforming

We study the problem of actively imaging a range-limited far-field scene...
01/31/2019 ∙ by Rakshith Sharma Srinivasa, et al. ∙ 0 ∙ share

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Fast Convex Pruning of Deep Neural Networks

We develop a fast, tractable technique called Net-Trim for simplifying a...
06/17/2018 ∙ by Alireza Aghasi, et al. ∙ 0 ∙ share

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ROAST: Rapid Orthogonal Approximate Slepian Transform

In this paper, we provide a Rapid Orthogonal Approximate Slepian Transfo...
12/13/2017 ∙ by Zhihui Zhu, et al. ∙ 0 ∙ share

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Solving Equations of Random Convex Functions via Anchored Regression

We consider the question of estimating a solution to a system of equatio...
02/17/2017 ∙ by Sohail Bahmani, et al. ∙ 0 ∙ share

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Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee

We introduce and analyze a new technique for model reduction for deep ne...
11/16/2016 ∙ by Alireza Aghasi, et al. ∙ 0 ∙ share

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Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation

We propose a flexible convex relaxation for the phase retrieval problem ...
10/13/2016 ∙ by Sohail Bahmani, et al. ∙ 0 ∙ share

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A Light-powered, Always-On, Smart Camera with Compressed Domain Gesture Detection

In this paper we propose an energy-efficient camera-based gesture recogn...
05/26/2016 ∙ by Anvesha A, et al. ∙ 0 ∙ share

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Sweep Distortion Removal from THz Images via Blind Demodulation

Heavy sweep distortion induced by alignments and inter-reflections of la...
03/29/2016 ∙ by Alireza Aghasi, et al. ∙ 0 ∙ share

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Learning Shapes by Convex Composition

We present a mathematical and algorithmic scheme for learning the princi...
02/23/2016 ∙ by Alireza Aghasi, et al. ∙ 0 ∙ share

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Sparse Recovery of Streaming Signals Using L1-Homotopy

Most of the existing methods for sparse signal recovery assume a static ...
06/14/2013 ∙ by M. Salman Asif, et al. ∙ 0 ∙ share

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Fast and Accurate Algorithms for Re-Weighted L1-Norm Minimization

To recover a sparse signal from an underdetermined system, we often solv...
08/03/2012 ∙ by M. Salman Asif, et al. ∙ 0 ∙ share

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Justin Romberg

Featured Co-authors

Ramesh Raskar

Jimeng Sun

Cao Xiao

Lam M. Nguyen

Zhihui Zhu

Arijit Raychowdhury

Michael B. Wakin

M. Salman Asif

Mark A. Davenport

Sohail Bahmani

Alireza Aghasi

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification

A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning

Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness

Localized sketching for matrix multiplication and ridge regression

Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices

Phase Retrieval of Low-Rank Matrices by Anchored Regression

Convex Programming for Estimation in Nonlinear Recurrent Models

Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation

Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables

Appearance-based Gesture recognition in the compressed domain

Trading beams for bandwidth: Imaging with randomized beamforming

Fast Convex Pruning of Deep Neural Networks

ROAST: Rapid Orthogonal Approximate Slepian Transform

Solving Equations of Random Convex Functions via Anchored Regression

Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee

Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation

A Light-powered, Always-On, Smart Camera with Compressed Domain Gesture Detection

Sweep Distortion Removal from THz Images via Blind Demodulation

Learning Shapes by Convex Composition

Sparse Recovery of Streaming Signals Using L1-Homotopy

Fast and Accurate Algorithms for Re-Weighted L1-Norm Minimization