Gautam Kunapuli

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 25

Top Topics

Column Generation

Relational Data

Visual Object Recognition

Top Venues

Publications

Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan
Active feature elicitation: An unified framework. Frontiers Artif. Intell. 6 (2023)
Puneet Mathur, Gautam Kunapuli, Riyaz Bhat, Manish Shrivastava, Dinesh Manocha, Maneesh Singh
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection. EMNLP (2022)
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach. AIME (2021)
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahareh Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
Structure learning for relational logistic regression: an ensemble approach. Data Min. Knowl. Discov. 35 (5) (2021)
Priya Ganapathy, Lakshmi Priya Rangaraju, Gautam Kunapuli, Jacob Yadegar
Skill Mastery Measurement and Prediction to Adapt Instruction Strategies. HCI (32) (2021)
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning. COMAD/CODS (2021)
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach. CoRR (2021)
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan
Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem. ILP (2021)
Naveed Haghani, Jiaoyang Li, Sven Koenig, Gautam Kunapuli, Claudio Contardo, Amelia Regan, Julian Yarkony
Multi-Robot Routing with Time Windows: A Column Generation Approach. CoRR (2021)
Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan
Non-parametric learning of lifted Restricted Boltzmann Machines. Int. J. Approx. Reason. 120 (2020)
Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan
Knowledge Graph Alignment using String Edit Distance. CoRR (2020)
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan
Non-Parametric Learning of Gaifman Models. CoRR (2020)
Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan
Non-Parametric Learning of Lifted Restricted Boltzmann Machines. CoRR (2020)
Naveed Haghani, Jiaoyang Li, Sven Koenig, Gautam Kunapuli, Claudio Contardo, Julian Yarkony
Integer Programming for Multi-Robot Planning: A Column Generation Approach. CoRR (2020)
Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan
Neural Networks for Relational Data. CoRR (2019)
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. AAAI (2019)
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice. CoRR (2019)
Mayukh Das, Yang Yu, Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice. CoRR (2019)
Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan
Neural Networks for Relational Data. ILP (2019)
Devendra Singh Dhami, Gautam Kunapuli, David Page, Sriraam Natarajan
Predicting Drug-Drug Interactions from Molecular Structure Images. CoRR (2019)
Gautam Kunapuli, Bino A. Varghese, Priya Ganapathy, Desai Bhushan, Steven Y. Cen, Manju Aron, Inderbir Gill, Vinay A. Duddalwar
A Decision-Support Tool for Renal Mass Classification. J. Digit. Imaging 31 (6) (2018)
Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach. IJCAI (2018)
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
Structure Learning for Relational Logistic Regression: An Ensemble Approach. KR (2018)
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
Structure Learning for Relational Logistic Regression: An Ensemble Approach. CoRR (2018)
Navdeep Kaur, Gautam Kunapuli, Tushar Khot, Kristian Kersting, William Cohen, Sriraam Natarajan
Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach. ILP (2017)
Ion Juvina, Priya Ganapathy, Matt Sherwood, Mohd Saif Usmani, Gautam Kunapuli, Tejaswi Tamminedi, Nasser H. Kashou
Neurocognitive Correlates of Learning in a Visual Object Recognition Task. HCI (15) (2015)
Priya Ganapathy, Ion Juvina, Tejaswi Tamminedi, Gautam Kunapuli, Matt Sherwood, Mohd Saif Usmani
Development of a Smart Tutor for a Visual-Aircraft Recognition Task. HCI (15) (2015)
Shuo Yang, Tushar Khot, Kristian Kersting, Gautam Kunapuli, Kris Hauser, Sriraam Natarajan
Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach. ICDM (2014)
Chris S. Magnano, Ameet Soni, Sriraam Natarajan, Gautam Kunapuli
A graphical model approach to ATLAS-free mining of MRI images. SDM (2014)
Gautam Kunapuli, Phillip Odom, Jude W. Shavlik, Sriraam Natarajan
Guiding Autonomous Agents to Better Behaviors through Human Advice. ICDM (2013)
Baidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph A. Maldjian, Sriraam Natarajan
AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy. ECML/PKDD (3) (2013)
Gautam Kunapuli, Jude W. Shavlik
Mirror Descent for Metric Learning: A Unified Approach. ECML/PKDD (1) (2012)
Gautam Kunapuli, Richard Maclin, Jude W. Shavlik
Advice Refinement in Knowledge-Based SVMs. NIPS (2011)
Trevor Walker, Gautam Kunapuli, Noah Larsen, David Page, Jude W. Shavlik
Integrating knowledge capture and supervised learning through a human-computer interface. K-CAP (2011)
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik
Online Knowledge-Based Support Vector Machines. ECML/PKDD (2) (2010)
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik
Multi-Agent Inverse Reinforcement Learning. ICMLA (2010)
Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik
Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge. ILP (2010)
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule. ICMLA (2009)
Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang
Bilevel Optimization and Machine Learning. WCCI (2008)
Gautam Kunapuli, Kristin P. Bennett, Jing Hu, Jong-Shi Pang
Classification model selection via bilevel programming. Optim. Methods Softw. 23 (4) (2008)
Jing Hu, John E. Mitchell, Jong-Shi Pang, Kristin P. Bennett, Gautam Kunapuli
On the Global Solution of Linear Programs with Linear Complementarity Constraints. SIAM J. Optim. 19 (1) (2008)
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang
Model Selection via Bilevel Optimization. IJCNN (2006)