Shubham Agarwal
Shubham Agarwal
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Resume
Publications
Type
Conference paper
Date
2020
2019
2018
2017
2015
TraceHub - A Platform to bridge gap between State-Of-The-Art Time-Series Analytics and Datasets
(AAAI Best Technical Demo Award!) A platform that connects new non-trivial state-of-the-art time-series analytics with datasets from different domains
Shubham Agarwal
,
Christian Muise
,
Mayank Agarwal
,
Sohini Upadhyay
,
Zilu Tang
,
Zhongshen Zeng
,
Yasaman Khazaeni
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Project
MAi : An Intelligent Model Acquisition Interface for Interactive Specification of Dialog Agents
A declarative approach to dialogue design
Tathagata Chakraborti
,
Christian Muise
,
Shubham Agarwal
,
Luis Lastras
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Planning for Goal-Oriented Dialogue Systems
A declarative representation of the dialogue agent to be processed by state-of-the-art planning technology
Christian Muise
,
Tathagata Chakraborti
,
Shubham Agarwal
,
Ondrej Bajgar
,
Arunima Chaudhary
,
Luis A. Lastras
,
Josef Ondrej
,
Miroslav Vodolan
,
Charlie Wiecha
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Bayesian inference of linear temporal logic specifications for contrastive explanations
Contrastive explanations using BayesLTL – a Bayesian probabilistic model for inferring contrastive explanations as linear temporal logic (LTL) specifications
Joseph Kim
,
Christian Muise
,
Ankit Shah
,
Shubham Agarwal
,
Julie Shah
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Executing Contingent Plans: Addressing Challenges in Deploying Artificial Agents
A proposed executor that can reason using the sophisticated action effects, and we demonstrate the impact this can have empirically
Christian Muise
,
Miroslav Vodolan
,
Shubham Agarwal
,
Ondrej Bajgar
,
Luis Lastras
,
Josef Ondrej
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{MAi}: An Interface for Declarative Specification of Goal-Directed Dialogue Agents
A declarative approach to dialogue design
Tathagata Chakraborti
,
Christian Muise
,
Shubham Agarwal
,
Luis A. Lastras
,
Yasaman Khazaeni
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Generating Dialogue Agents via Automated Planning
Using domain-independent AI planning to automatically create dialogue plans, customized to guide a dialogue towards achieving a given goal
Adi Botea
,
Christian Muise
,
Shubham Agarwal
,
Oznur Alkan
,
Ondrej Bajgar
,
Elizabeth Daly
,
Akihiro Kishimoto
,
Luis Lastras
,
Radu Marinescu
,
Josef Ondrej
,
Pablo Pedemonte
,
Miroslav Vodolan
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Executing Contingent Plans: Challenges in Deploying Artificial Agents
A proposed executor that can reason using the sophisticated action effects, and we demonstrate the impact this can have empirically
Christian Muise
,
Miroslav Vodolan
,
Shubham Agarwal
,
Ondrej Bajgar
,
Luis Lastras
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Aligning English Sentences with Abstract Meaning Representation Graphs using Inductive Logic Programming
An aligner for AMR parsing
Shubham Agarwal
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Automated software test data generation using improved search procedure
An aligner for AMR parsing
Shubham Agarwal
,
Abhimanyu Bhatter
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