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Gautam Kunapuli
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2020 – today
- 2023
- [j6]Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan:
Active feature elicitation: An unified framework. Frontiers Artif. Intell. 6 (2023) - 2022
- [c25]Puneet Mathur, Gautam Kunapuli, Riyaz Bhat, Manish Shrivastava, Dinesh Manocha, Maneesh Singh:
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection. EMNLP 2022: 809-824 - 2021
- [j5]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. Data Min. Knowl. Discov. 35(5): 2089-2111 (2021) - [c24]Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan:
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach. AIME 2021: 252-257 - [c23]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: 110-118 - [c22]Priya Ganapathy, Lakshmi Priya Rangaraju, Gautam Kunapuli, Jacob Yadegar:
Skill Mastery Measurement and Prediction to Adapt Instruction Strategies. HCI (32) 2021: 45-61 - [c21]Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan:
Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem. ILP 2021: 95-110 - [i11]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 abs/2103.08835 (2021) - [i10]Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan:
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach. CoRR abs/2103.10916 (2021) - 2020
- [j4]Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan:
Non-parametric learning of lifted Restricted Boltzmann Machines. Int. J. Approx. Reason. 120: 33-47 (2020) - [i9]Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan:
Non-Parametric Learning of Gaifman Models. CoRR abs/2001.00528 (2020) - [i8]Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan:
Non-Parametric Learning of Lifted Restricted Boltzmann Machines. CoRR abs/2001.10070 (2020) - [i7]Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan:
Knowledge Graph Alignment using String Edit Distance. CoRR abs/2003.12145 (2020) - [i6]Naveed Haghani, Jiaoyang Li, Sven Koenig, Gautam Kunapuli, Claudio Contardo, Julian Yarkony:
Integer Programming for Multi-Robot Planning: A Column Generation Approach. CoRR abs/2006.04856 (2020)
2010 – 2019
- 2019
- [c20]Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan:
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. AAAI 2019: 7816-7824 - [c19]Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan:
Neural Networks for Relational Data. ILP 2019: 62-71 - [i5]Mayukh Das, Yang Yu, Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan:
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice. CoRR abs/1904.06950 (2019) - [i4]Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan:
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice. CoRR abs/1906.01432 (2019) - [i3]Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan:
Neural Networks for Relational Data. CoRR abs/1909.04723 (2019) - [i2]Devendra Singh Dhami, Gautam Kunapuli, David Page, Sriraam Natarajan:
Predicting Drug-Drug Interactions from Molecular Structure Images. CoRR abs/1911.06356 (2019) - 2018
- [j3]Gautam Kunapuli
, Bino A. Varghese, Priya Ganapathy, Desai Bhushan, Steven Y. Cen, Manju Aron, Inderbir S. Gill
, Vinay A. Duddalwar:
A Decision-Support Tool for Renal Mass Classification. J. Digit. Imaging 31(6): 929-939 (2018) - [c18]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: 3498-3505 - [c17]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: 661-662 - [i1]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 abs/1808.02123 (2018) - 2017
- [c16]Navdeep Kaur, Gautam Kunapuli
, Tushar Khot, Kristian Kersting
, William Cohen, Sriraam Natarajan
:
Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach. ILP 2017: 94-111 - 2015
- [c15]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: 256-267 - [c14]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: 583-594 - 2014
- [c13]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: 1085-1090 - [c12]Chris S. Magnano, Ameet Soni, Sriraam Natarajan, Gautam Kunapuli:
A graphical model approach to ATLAS-free mining of MRI images. SDM 2014: 974-982 - 2013
- [c11]Gautam Kunapuli, Phillip Odom, Jude W. Shavlik, Sriraam Natarajan:
Guiding Autonomous Agents to Better Behaviors through Human Advice. ICDM 2013: 409-418 - [c10]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: 1-16 - 2012
- [c9]Gautam Kunapuli, Jude W. Shavlik:
Mirror Descent for Metric Learning: A Unified Approach. ECML/PKDD (1) 2012: 859-874 - 2011
- [c8]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: 89-96 - [c7]Gautam Kunapuli, Richard Maclin, Jude W. Shavlik:
Advice Refinement in Knowledge-Based SVMs. NIPS 2011: 1728-1736 - 2010
- [c6]Sriraam Natarajan, Gautam Kunapuli
, Kshitij Judah, Prasad Tadepalli
, Kristian Kersting, Jude W. Shavlik:
Multi-Agent Inverse Reinforcement Learning. ICMLA 2010: 395-400 - [c5]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: 253-268 - [c4]Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik:
Online Knowledge-Based Support Vector Machines. ECML/PKDD (2) 2010: 145-161
2000 – 2009
- 2009
- [c3]Sriraam Natarajan, Prasad Tadepalli
, Gautam Kunapuli
, Jude W. Shavlik:
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule. ICMLA 2009: 141-146 - 2008
- [j2]Gautam Kunapuli
, Kristin P. Bennett, Jing Hu, Jong-Shi Pang:
Classification model selection via bilevel programming. Optim. Methods Softw. 23(4): 475-489 (2008) - [j1]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): 445-471 (2008) - [c2]Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang:
Bilevel Optimization and Machine Learning. WCCI 2008: 25-47 - 2006
- [c1]Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang:
Model Selection via Bilevel Optimization. IJCNN 2006: 1922-1929
Coauthor Index
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last updated on 2024-07-04 21:27 CEST by the dblp team
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