Matt Barnes | DeepAI

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Featured Co-authors

Wen Sun
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Sanjiban Choudhury
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Siddhartha S. Srinivasa
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Bryan Perozzi
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Tapomayukh Bhattacharjee
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∙ 05/18/2023

Massively Scalable Inverse Reinforcement Learning in Google Maps

Optimizing for humans' latent preferences is a grand challenge in route ...

0 Matt Barnes, et al. ∙

∙ 02/04/2022

Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services

Road crashes are the sixth leading cause of lost disability-adjusted lif...

0 Luyang Liu, et al. ∙

∙ 07/06/2020

Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks

In this work, we examine a novel forecasting approach for COVID-19 case ...

0 Amol Kapoor, et al. ∙

∙ 12/03/2019

Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation

In many environments, only a relatively small subset of the complete sta...

0 Samuel Ainsworth, et al. ∙

∙ 08/19/2019

Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously-Unseen Food Items

Successful robot-assisted feeding requires bite acquisition of a wide va...

0 Ethan K. Gordon, et al. ∙

∙ 08/19/2019

Learning from failures in robot-assisted feeding: Using online learning to develop manipulation strategies for bite acquisition

Successful robot-assisted feeding requires bite acquisition of a wide va...

0 Ethan K. Gordon, et al. ∙

∙ 05/30/2019

Imitation Learning as f-Divergence Minimization

We address the problem of imitation learning with multi-modal demonstrat...

9 Liyiming Ke, et al. ∙

∙ 07/18/2018

Dependency Leakage: Analysis and Scalable Estimators

In this paper, we prove the first theoretical results on dependency leak...

0 Matt Barnes, et al. ∙

∙ 03/08/2017

Performance Bounds for Graphical Record Linkage

Record linkage involves merging records in large, noisy databases to rem...

0 Rebecca C. Steorts, et al. ∙

∙ 05/05/2016

Clustering on the Edge: Learning Structure in Graphs

With the recent popularity of graphical clustering methods, there has be...

0 Matt Barnes, et al. ∙

∙ 09/14/2015

A Practioner's Guide to Evaluating Entity Resolution Results

Entity resolution (ER) is the task of identifying records belonging to t...

0 Matt Barnes, et al. ∙

∙ 09/10/2015

Performance Bounds for Pairwise Entity Resolution

One significant challenge to scaling entity resolution algorithms to mas...

0 Matt Barnes, et al. ∙

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