Gautam Kunapuli

Orcid: 0000-0002-9297-2071

According to our database1, Gautam Kunapuli authored at least 37 papers between 2006 and 2023.

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Bibliography

2023
Active feature elicitation: An unified framework.
Frontiers Artif. Intell., February, 2023

2022
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Structure learning for relational logistic regression: an ensemble approach.
Data Min. Knowl. Discov., 2021

Multi-Robot Routing with Time Windows: A Column Generation Approach.
CoRR, 2021

Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

Skill Mastery Measurement and Prediction to Adapt Instruction Strategies.
Proceedings of the Adaptive Instructional Systems. Adaptation Strategies and Methods, 2021

Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach.
Proceedings of the Artificial Intelligence in Medicine, 2021

2020
Non-parametric learning of lifted Restricted Boltzmann Machines.
Int. J. Approx. Reason., 2020

Integer Programming for Multi-Robot Planning: A Column Generation Approach.
CoRR, 2020

Knowledge Graph Alignment using String Edit Distance.
CoRR, 2020

Non-Parametric Learning of Gaifman Models.
CoRR, 2020

2019
Predicting Drug-Drug Interactions from Molecular Structure Images.
CoRR, 2019

Knowledge-augmented Column Networks: Guiding Deep Learning with Advice.
CoRR, 2019

Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice.
CoRR, 2019

Neural Networks for Relational Data.
Proceedings of the Inductive Logic Programming - 29th International Conference, 2019

Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Decision-Support Tool for Renal Mass Classification.
J. Digit. Imaging, 2018

On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach.
Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

2015
Neurocognitive Correlates of Learning in a Visual Object Recognition Task.
Proceedings of the Foundations of Augmented Cognition, 2015

Development of a Smart Tutor for a Visual-Aircraft Recognition Task.
Proceedings of the Foundations of Augmented Cognition, 2015

2014
A graphical model approach to ATLAS-free mining of MRI images.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Guiding Autonomous Agents to Better Behaviors through Human Advice.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Mirror Descent for Metric Learning: A Unified Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Advice Refinement in Knowledge-Based SVMs.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Integrating knowledge capture and supervised learning through a human-computer interface.
Proceedings of the 6th International Conference on Knowledge Capture (K-CAP 2011), 2011

2010
Online Knowledge-Based Support Vector Machines.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Multi-Agent Inverse Reinforcement Learning.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2008
On the Global Solution of Linear Programs with Linear Complementarity Constraints.
SIAM J. Optim., 2008

Classification model selection via bilevel programming.
Optim. Methods Softw., 2008

Bilevel Optimization and Machine Learning.
Proceedings of the Computational Intelligence: Research Frontiers, 2008

2006
Model Selection via Bilevel Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2006


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