David Smith | DeepAI

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∙ 03/25/2021

Realistic Differentially-Private Transmission Power Flow Data Release

For the modeling, design and planning of future energy transmission netw...

11 David Smith, et al. ∙

∙ 01/22/2021

The art of coarse Stokes: Richardson extrapolation improves the accuracy and efficiency of the method of regularized stokeslets

The method of regularised stokeslets is widely used in microscale biolog...

0 Meurig Gallagher, et al. ∙

∙ 11/24/2020

Model Elicitation through Direct Questioning

The future will be replete with scenarios where humans are robots will b...

1 Sachin Grover, et al. ∙

∙ 07/02/2020

Designing Environments Conducive to Interpretable Robot Behavior

Designing robots capable of generating interpretable behavior is a prere...

21 Anagha Kulkarni, et al. ∙

∙ 01/19/2020

Peer-to-Peer Trading in Electricity Networks: An Overview

Peer-to-peer trading is a next-generation energy management technique th...

0 Wayes Tushar, et al. ∙

∙ 12/20/2019

Report on the First HIPstIR Workshop on the Future of Information Retrieval

The vision of HIPstIR is that early stage information retrieval (IR) res...

0 Laura Dietz, et al. ∙

∙ 09/02/2019

FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second

Current methods for body shape estimation either lack detail or require ...

14 David Smith, et al. ∙

∙ 08/14/2019

Towards Explainable AI Planning as a Service

Explainable AI is an important area of research within which Explainable...

2 Michael Cashmore, et al. ∙

∙ 06/24/2019

The Value of Collaboration in Convex Machine Learning with Differential Privacy

In this paper, we apply machine learning to distributed private data own...

6 Nan Wu, et al. ∙

∙ 03/20/2019

LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles

A key capability for autonomous underground mining vehicles is real-time...

0 Fan Zeng, et al. ∙

∙ 03/19/2019

Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice

Explainable planning is widely accepted as a prerequisite for autonomous...

2 Sarath Sreedharan, et al. ∙

∙ 02/11/2019

Attaining Fairness in Communication for Omniscience

This paper studies how to attain fairness in communication for omniscien...

0 Ni Ding, et al. ∙

∙ 10/03/2018

Simultaneous Parameter Estimation and Variable Selection via the LN-CASS Prior

We introduce a Bayesian prior distribution, the Logit-Normal continuous ...

0 William Thomson, et al. ∙

∙ 05/04/2018

Fairness in Multiterminal Data Compression: A Splitting Method for The Egalitarian Solution

This paper proposes a novel splitting (SPLIT) algorithm to achieve fairn...

0 Ni Ding, et al. ∙

∙ 04/05/2018

Fairness in Multiterminal Data Compression: Decomposition of Shapley Value

We consider the problem of how to determine a fair source coding rate al...

0 Ni Ding, et al. ∙

∙ 04/05/2018

Distributed Data Compression in Sensor Clusters: A Maximum Independent Flow Approach

Let a cluster (network) of sensors be connected by the communication lin...

0 Ni Ding, et al. ∙

∙ 06/30/2016

Lifted Region-Based Belief Propagation

Due to the intractable nature of exact lifted inference, research has re...

0 David Smith, et al. ∙

∙ 04/04/2016

Cooperative communications for sleep monitoring in wireless body area networks

This paper investigates the performance of cooperative receive diversity...

0 Samiya Shimly, et al. ∙

∙ 12/12/2012

Planning under Continuous Time and Resource Uncertainty: A Challenge for AI

We outline a class of problems, typical of Mars rover operations, that a...

0 John Bresina, et al. ∙

∙ 10/19/2012

Optimal Limited Contingency Planning

For a given problem, the optimal Markov policy can be considerred as a c...

0 Nicolas Meuleau, et al. ∙

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