
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Reinforcement learning (RL) is a popular paradigm for addressing sequent...
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Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph
In recent years, ridehailing services have been increasingly prevalent ...
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Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network
This research proposes a Ground Penetrating Radar (GPR) data processing ...
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AutoSweep: Recovering 3D Editable Objectsfrom a Single Photograph
This paper presents a fully automatic framework for extracting editable ...
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DeepHAZMAT: Hazardous Materials Sign Detection and Segmentation with Restricted Computational Resources
One of the most challenging and nontrivial tasks in robotbased rescue ...
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DeepCAPTCHA: a deep learning based CAPTCHA solver for vulnerability assessment
CAPTCHA is a humancentred test to distinguish a human operator from bot...
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Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data
The large volumes of Sentinel1 data produced over Europe are being used...
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Flowing ConvNets for Human Pose Estimation in Videos
The objective of this work is human pose estimation in videos, where mul...
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Personalizing Human Video Pose Estimation
We propose a personalized ConvNet pose estimator that automatically adap...
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A Bayesian computer model analysis of Robust Bayesian analyses
We harness the power of Bayesian emulation techniques, designed to aid t...
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Rank Pruning for Dominance Queries in CPNets
Conditional preference networks (CPnets) are a graphical representation...
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Toward transient finite element simulation of thermal deformation of machine tools in realtime
Finite element models without simplifying assumptions can accurately des...
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Manipulation Planning to Keep an Object Stable under a Sequence of External Forces
We present a planner for a robot to keep an object stable under a sequen...
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A shared memory implementation of pipelined Parareal
The paper introduces an OpenMP implementation of pipelined Parareal and ...
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Improving the identification of antigenic sites in the H1N1 Influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model
Understanding how genetic changes allow emerging virus strains to escape...
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A Graphical method for simplifying Bayesian Games
If the influence diagram (ID) depicting a Bayesian game is common knowle...
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A OneField Energyconserving Monolithic Fictitious Domain Method for FluidStructure Interactions
In this article, we analyze and numerically assess a new fictitious doma...
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Sustained sensorimotor control as intermittent decisions about prediction errors: Computational framework and application to ground vehicle steering
A conceptual and computational framework is proposed for modelling of hu...
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Learning Deep Policies for PhysicsBased Manipulation in Clutter
Uncertainty in modeling real world physics makes transferring traditiona...
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Pushing Fast and Slow: TaskAdaptive MPC for Pushing Manipulation Under Uncertainty
We propose a model predictive control approach to pushing based manipula...
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Robotic Mobility Diversity Algorithm with Continuous Search Space
Small scale fading makes the wireless channel gain vary significantly ov...
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RealTime Online RePlanning for Grasping Under Clutter and Uncertainty
We consider the problem of grasping in clutter. While there have been mo...
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Planning for Muscular and PeripersonalSpace Comfort during HumanRobot Forceful Collaboration
This paper presents a planning algorithm designed to improve cooperative...
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Counting Independent Sets in Cocomparability Graphs
We show that the number of independent sets in cocomparability graphs ca...
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Lectures on MoebiusLie Geometry and its Extension
These lectures review the classical MoebiusLie geometry and recent work...
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Counting independent sets in graphs with bounded bipartite pathwidth
We show that a simple Markov chain, the Glauber dynamics, can efficientl...
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A lower bound on the treewidth of graphs with irrelevant vertices
For their famous algorithm for the disjoint paths problem, Robertson and...
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Rates of adaptive group testing in the linear regime
We consider adaptive group testing in the linear regime, where the numbe...
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An Optimization Framework for Task Sequencing in Curriculum Learning
Curriculum learning is gaining popularity in (deep) reinforcement learni...
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Group testing: an information theory perspective
The group testing problem concerns discovering a small number of defecti...
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Combining Coarse and Fine Physics for Manipulation using ParallelinTime Integration
We present a method for fast and accurate physicsbased predictions duri...
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NonPrehensile Manipulation in Clutter with HumanInTheLoop
We propose a humanoperator guided planning approach to pushingbased ro...
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A theoretical and experimental investigation of a family of immersed finite element methods
In this article we consider the widely used immersed finite element meth...
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Trianglecreation processes on cubic graphs
An edge switch is an operation which makes a local change in a graph whi...
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Sequential training algorithm for neural networks
A sequential training method for largescale feedforward neural networks...
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Curriculum Learning for Cumulative Return Maximization
Curriculum learning has been successfully used in reinforcement learning...
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Simple Swarm Foraging Algorithm Based on Gradient Computation
Swarm foraging is a common test case application for multirobot systems...
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A graybox approach for curriculum learning
Curriculum learning is often employed in deep reinforcement learning to ...
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Chemotaxis Based Virtual Fence for Swarm Robots in Unbounded Environments
This paper presents a novel swarm robotics application of chemotaxis beh...
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A numerical scheme for stochastic differential equations with distributional drift
In this paper we present a scheme for the numerical solution of stochast...
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Efficient algorithms for modifying and sampling from a categorical distribution
Probabilistic programming languages and other machine learning applicati...
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3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata
Large prospective epidemiological studies acquire cardiovascular magneti...
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Application of Cox Model to predict the survival of patients with Chronic Heart Failure: A latent class regression approach
Most prediction models that are used in medical research fail to accurat...
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Observationcentered Kalman filters
Various methods have been proposed for the nonlinear filtering problem, ...
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A hypothesis test of feasibility for external pilot trials assessing recruitment, followup and adherence rates
The power of a large clinical trial can be adversely affected by low rec...
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Spatiotemporal Manifold Learning for Human Motions via Longhorizon Modeling
Datadriven modeling of human motions is ubiquitous in computer graphics...
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Dealing with uncertainty in agentbased models for shortterm predictions
Agentbased models (ABM) are gaining traction as one of the most powerfu...
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Uncover the GroundTruth Relations in Distant Supervision: A Neural ExpectationMaximization Framework
Distant supervision for relation extraction enables one to effectively a...
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Jointly Learning Entity and Relation Representations for Entity Alignment
Entity alignment is a viable means for integrating heterogeneous knowled...
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Simulating Crowds in Real Time with AgentBased Modelling and a Particle Filter
Agentbased modelling is a valuable approach for systems whose behaviour...
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