Gautam Kunapuli

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Active feature elicitation: An unified framework.

Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan

Frontiers Artif. Intell., February, 2023

2022

DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection.

Puneet Mathur, Gautam Kunapuli, Riyaz Bhat, Manish Shrivastava, Dinesh Manocha, Maneesh Singh

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Structure learning for relational logistic regression: an ensemble approach.

Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan

Data Min. Knowl. Discov., 2021

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

Naveed Haghani, Jiaoyang Li, Sven Koenig, Gautam Kunapuli, Claudio Contardo, Amelia Regan, Julian Yarkony

CoRR, 2021

Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem.

Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan

Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

Skill Mastery Measurement and Prediction to Adapt Instruction Strategies.

Priya Ganapathy, Lakshmi Priya Rangaraju, Gautam Kunapuli, Jacob Yadegar

Proceedings of the Adaptive Instructional Systems. Adaptation Strategies and Methods, 2021

Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning.

Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach.

Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Non-parametric learning of lifted Restricted Boltzmann Machines.

Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan

Int. J. Approx. Reason., 2020

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

Naveed Haghani, Jiaoyang Li, Sven Koenig, Gautam Kunapuli, Claudio Contardo, Julian Yarkony

CoRR, 2020

Knowledge Graph Alignment using String Edit Distance.

Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan

CoRR, 2020

Non-Parametric Learning of Gaifman Models.

Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan

CoRR, 2020

2019

Predicting Drug-Drug Interactions from Molecular Structure Images.

Devendra Singh Dhami, Gautam Kunapuli, David Page, Sriraam Natarajan

CoRR, 2019

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

Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan

CoRR, 2019

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

Mayukh Das, Yang Yu, Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan

CoRR, 2019

Neural Networks for Relational Data.

Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan

Proceedings of the Inductive Logic Programming - 29th International Conference, 2019

Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs.

Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Decision-Support Tool for Renal Mass Classification.

Gautam Kunapuli, Bino A. Varghese, Priya Ganapathy, Desai Bhushan, Steven Y. Cen, Manju Aron, Inderbir S. Gill, Vinay A. Duddalwar

J. Digit. Imaging, 2018

On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach.

Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach.

Navdeep Kaur, Gautam Kunapuli, Tushar Khot, Kristian Kersting, William Cohen, Sriraam Natarajan

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

2015

Neurocognitive Correlates of Learning in a Visual Object Recognition Task.

Ion Juvina, Priya Ganapathy, Matt Sherwood, Mohd Saif Usmani, Gautam Kunapuli, Tejaswi Tamminedi, Nasser H. Kashou

Proceedings of the Foundations of Augmented Cognition, 2015

Development of a Smart Tutor for a Visual-Aircraft Recognition Task.

Priya Ganapathy, Ion Juvina, Tejaswi Tamminedi, Gautam Kunapuli, Matt Sherwood, Mohd Saif Usmani

Proceedings of the Foundations of Augmented Cognition, 2015

2014

A graphical model approach to ATLAS-free mining of MRI images.

Chris S. Magnano, Ameet Soni, Sriraam Natarajan, Gautam Kunapuli

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach.

Shuo Yang, Tushar Khot, Kristian Kersting, Gautam Kunapuli, Kris Hauser, Sriraam Natarajan

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy.

Baidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph A. Maldjian, Sriraam Natarajan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Guiding Autonomous Agents to Better Behaviors through Human Advice.

Gautam Kunapuli, Phillip Odom, Jude W. Shavlik, Sriraam Natarajan

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Mirror Descent for Metric Learning: A Unified Approach.

Gautam Kunapuli, Jude W. Shavlik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

Advice Refinement in Knowledge-Based SVMs.

Gautam Kunapuli, Richard Maclin, Jude W. Shavlik

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.

Trevor Walker, Gautam Kunapuli, Noah Larsen, David Page, Jude W. Shavlik

Proceedings of the 6th International Conference on Knowledge Capture (K-CAP 2011), 2011

2010

Online Knowledge-Based Support Vector Machines.

Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik

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.

Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Multi-Agent Inverse Reinforcement Learning.

Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule.

Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik

Proceedings of the International Conference on Machine Learning and Applications, 2009

2008

On the Global Solution of Linear Programs with Linear Complementarity Constraints.

Jing Hu, John E. Mitchell, Jong-Shi Pang, Kristin P. Bennett, Gautam Kunapuli

SIAM J. Optim., 2008

Classification model selection via bilevel programming.

Gautam Kunapuli, Kristin P. Bennett, Jing Hu, Jong-Shi Pang

Optim. Methods Softw., 2008

Bilevel Optimization and Machine Learning.

Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang

Proceedings of the Computational Intelligence: Research Frontiers, 2008

2006

Model Selection via Bilevel Optimization.

Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang

Proceedings of the International Joint Conference on Neural Networks, 2006