default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGautam Kunapuli
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-04 22:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
