Gautam Kunapuli

43 papers A* 6A 1B 7C 2Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2023 J jnl
Active feature elicitation: An unified framework.
Frontiers Artif. Intell.
Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan
2022 A* conf
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection.
EMNLP
Puneet Mathur, Gautam Kunapuli, Riyaz A. Bhat, Manish Shrivastava, Dinesh Manocha, Maneesh Singh
2021 — conf
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning.
COMAD/CODS
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan
2021 J jnl
Multi-Robot Routing with Time Windows: A Column Generation Approach.
CoRR
Naveed Haghani, Jiaoyang Li, Sven Koenig, Gautam Kunapuli, Claudio Contardo, Amelia Regan, Julian Yarkony
2021 B conf
Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem.
ILP
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan
2021 B conf
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach.
AIME
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan
2021 J jnl
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach.
CoRR
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan
2021 — conf
Skill Mastery Measurement and Prediction to Adapt Instruction Strategies.
HCI (32)
Priya Ganapathy, Lakshmi Priya Rangaraju, Gautam Kunapuli, Jacob Yadegar
2021 J jnl
Structure learning for relational logistic regression: an ensemble approach.
Data Min. Knowl. Discov.
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2020 J jnl
Integer Programming for Multi-Robot Planning: A Column Generation Approach.
CoRR
Naveed Haghani, Jiaoyang Li, Sven Koenig, Gautam Kunapuli, Claudio Contardo, Julian Yarkony
2020 J jnl
Knowledge Graph Alignment using String Edit Distance.
CoRR
Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan
2020 J jnl
Non-Parametric Learning of Gaifman Models.
CoRR
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan
2020 J jnl
Non-Parametric Learning of Lifted Restricted Boltzmann Machines.
CoRR
Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan
2020 J jnl
Non-parametric learning of lifted Restricted Boltzmann Machines.
Int. J. Approx. Reason.
Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan
2019 A* conf
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs.
AAAI
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan
2019 J jnl
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice.
CoRR
Mayukh Das, Yang Yu, Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan
2019 J jnl
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice.
CoRR
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan
2019 B conf
Neural Networks for Relational Data.
ILP
Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan
2019 J jnl
Neural Networks for Relational Data.
CoRR
Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan
2019 J jnl
Predicting Drug-Drug Interactions from Molecular Structure Images.
CoRR
Devendra Singh Dhami, Gautam Kunapuli, David Page, Sriraam Natarajan
2018 J jnl
A Decision-Support Tool for Renal Mass Classification.
J. Digit. Imaging
Gautam Kunapuli, Bino A. Varghese, Priya Ganapathy, Desai Bhushan, Steven Y. Cen, Manju Aron, Inderbir S. Gill, Vinay A. Duddalwar
2018 A* conf
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach.
IJCAI
Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac
2018 A* conf
Structure Learning for Relational Logistic Regression: An Ensemble Approach.
KR
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2018 J jnl
Structure Learning for Relational Logistic Regression: An Ensemble Approach.
CoRR
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2017 B conf
Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach.
ILP
Navdeep Kaur, Gautam Kunapuli, Tushar Khot, Kristian Kersting, William Cohen, Sriraam Natarajan
2015 — conf
Development of a Smart Tutor for a Visual-Aircraft Recognition Task.
HCI (15)
Priya Ganapathy, Ion Juvina, Tejaswi Tamminedi, Gautam Kunapuli, Matt Sherwood, Mohd Saif Usmani
2015 — conf
Neurocognitive Correlates of Learning in a Visual Object Recognition Task.
HCI (15)
Ion Juvina, Priya Ganapathy, Matt Sherwood, Mohd Saif Usmani, Gautam Kunapuli, Tejaswi Tamminedi, Nasser H. Kashou
2014 A conf
A graphical model approach to ATLAS-free mining of MRI images.
SDM
Chris S. Magnano, Ameet Soni, Sriraam Natarajan, Gautam Kunapuli
2014 A* conf
Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach.
ICDM
Shuo Yang, Tushar Khot, Kristian Kersting, Gautam Kunapuli, Kris Hauser, Sriraam Natarajan
2013 — conf
AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy.
ECML/PKDD (3)
Baidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph A. Maldjian, Sriraam Natarajan
2013 A* conf
Guiding Autonomous Agents to Better Behaviors through Human Advice.
ICDM
Gautam Kunapuli, Phillip Odom, Jude W. Shavlik, Sriraam Natarajan
2012 — conf
Mirror Descent for Metric Learning: A Unified Approach.
ECML/PKDD (1)
Gautam Kunapuli, Jude W. Shavlik
2011 — conf
Advice Refinement in Knowledge-Based SVMs.
NIPS
Gautam Kunapuli, Richard Maclin, Jude W. Shavlik
2011 B conf
Integrating knowledge capture and supervised learning through a human-computer interface.
K-CAP
Trevor Walker, Gautam Kunapuli, Noah Larsen, David Page, Jude W. Shavlik
2010 B conf
Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge.
ILP
Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik
2010 C conf
Multi-Agent Inverse Reinforcement Learning.
ICMLA
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik
2010 — conf
Online Knowledge-Based Support Vector Machines.
ECML/PKDD (2)
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik
2009 — conf
Knowledge Intensive Learning - Directed vs Undirected SRL Models.
MLG/SRL@ILP
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik
2009 C conf
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule.
ICMLA
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik
2008 — conf
Bilevel Optimization and Machine Learning.
WCCI
Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang
2008 J jnl
Classification model selection via bilevel programming.
Optim. Methods Softw.
Gautam Kunapuli, Kristin P. Bennett, Jing Hu, Jong-Shi Pang
2008 J jnl
On the Global Solution of Linear Programs with Linear Complementarity Constraints.
SIAM J. Optim.
Jing Hu, John E. Mitchell, Jong-Shi Pang, Kristin P. Bennett, Gautam Kunapuli
2006 B conf
Model Selection via Bilevel Optimization.
IJCNN
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang