Gautam Kunapuli

发表

Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

Kristian Kersting, Sriraam Natarajan, Mayukh Das, 2019, AAAI.

Integrating knowledge capture and supervised learning through a human-computer interface

David Page, Jude W. Shavlik, Gautam Kunapuli, 2011, K-CAP '11.

Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach

Kristian Kersting, Sriraam Natarajan, Gautam Kunapuli, 2017, ILP.

Knowledge Graph Alignment using String Edit Distance pdf

Gautam Kunapuli, Sriraam Natarajan, Navdeep Kaur, 2020, ArXiv.

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

Sriraam Natarajan, Prasad Tadepalli, Jude W. Shavlik, 2009, 2009 International Conference on Machine Learning and Applications.

Neurocognitive Correlates of Learning in a Visual Object Recognition Task

Ion Juvina, Gautam Kunapuli, Priya Ganapathy, 2015, HCI.

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

Ion Juvina, Gautam Kunapuli, Priya Ganapathy, 2015, HCI.

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

Yang Yu, Mayukh Das, Devendra Singh Dhami, 2020, COMAD/CODS.

Bilevel Optimization and Machine Learning

Jing Hu, Jong-Shi Pang, Gautam Kunapuli, 2008, WCCI.

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

Kristian Kersting, Shuo Yang, Sriraam Natarajan, 2014, 2014 IEEE International Conference on Data Mining.

Model Selection via Bilevel Optimization

Jing Hu, Jong-Shi Pang, Gautam Kunapuli, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Non-Parametric Learning of Gaifman Models pdf

Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan, 2020, ArXiv.

A bilevel optimization approach to machine learning

Gautam Kunapuli, Kristin P. Bennett, Gautam Kunapuli, 2008 .

Online Knowledge-Based Support Vector Machines

Jude W. Shavlik, Gautam Kunapuli, Kristin P. Bennett, 2010, ECML/PKDD.

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

Sriraam Natarajan, Gautam Kunapuli, Ameet Soni, 2014, SDM.

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

Sriraam Natarajan, Mayukh Das, Devendra Singh Dhami, 2019, ArXiv.

Neural Networks for Relational Data pdf

Kristian Kersting, Sriraam Natarajan, Gautam Kunapuli, 2019, ILP.

On the Global Solution of Linear Programs with Linear Complementarity Constraints

Jing Hu, John E. Mitchell, Jong-Shi Pang, 2008, SIAM J. Optim..

Beyond Textual Data: Predicting Drug-Drug Interactions from Molecular Structure Images using Siamese Neural Networks

David Page, Devendra Singh Dhami, Gautam Kunapuli, 2019 .

Mirror Descent for Metric Learning: A Unified Approach

Jude W. Shavlik, Gautam Kunapuli, J. Shavlik, 2012, ECML/PKDD.

ILP for Bootstrapped Learning: A Layered Approach to Automating the ILP Setup Problem

Gautam Kunapuli, Richard Maclin, Trevor Walker, 2009 .

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

Sriraam Natarajan, Joseph A. Maldjian, Nilanjan Ray, 2013, ECML/PKDD.

Guiding Autonomous Agents to Better Behaviors through Human Advice

Sriraam Natarajan, Jude W. Shavlik, Gautam Kunapuli, 2013, 2013 IEEE 13th International Conference on Data Mining.

ONLINE LEARNING WITH KNOWLEDGE-BASED SUPPORT VECTOR MACHINES

Gautam Kunapuli, Kristin P. Bennett, Richard Maclin, 2006 .

Predicting Drug-Drug Interactions from Molecular Structure Images pdf

Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan, 2019, ArXiv.

Non-Parametric Learning of Lifted Restricted Boltzmann Machines pdf

Sriraam Natarajan, Gautam Kunapuli, Navdeep Kaur, 2020, Int. J. Approx. Reason..

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

Julian Yarkony, Gautam Kunapuli, Jiaoyang Li, 2020, ArXiv.

Classification model selection via bilevel programming

Jing Hu, Jong-Shi Pang, Gautam Kunapuli, 2008, Optim. Methods Softw..

Advice Refinement in Knowledge-Based SVMs

Jude W. Shavlik, Gautam Kunapuli, Richard Maclin, 2011, NIPS.

Conditional Random Fields For Brain Tissue Segmentation

Gautam Kunapuli, Sriraam Natarajan, Ameet Soni, 2013 .

Learning from Human Teachers: Issues and Challenges for ILP in Bootstrap Learning

Ciaran O'Reilly, Sriraam Natarajan, Gautam Kunapuli, 2010 .

Drug-Drug Interaction Discovery: Kernel Learning from Heterogeneous Similarities.

Sriraam Natarajan, Mayukh Das, Devendra Singh Dhami, 2018, Smart health.

Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge

Ciaran O'Reilly, Sriraam Natarajan, David Page, 2010, ILP.

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

Sriraam Natarajan, Predrag Radivojac, Gautam Kunapuli, 2018, IJCAI.

Multi-Agent Inverse Reinforcement Learning

Kristian Kersting, Sriraam Natarajan, Prasad Tadepalli, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Bilevel Model Selection for Support Vector Machines

Jing Hu, Jong-Shi Pang, Gautam Kunapuli, 2007 .

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

Sriraam Natarajan, Mayukh Das, Devendra Singh Dhami, 2019, ArXiv.

Structure learning for relational logistic regression: an ensemble approach

Kristian Kersting, Sriraam Natarajan, Seyed Mehran Kazemi, 2018, Data Mining and Knowledge Discovery.

A Decision-Support Tool for Renal Mass Classification

Gautam Kunapuli, Vinay A. Duddalwar, Priya Ganapathy, 2018, Journal of Digital Imaging.

The Adviceptron: Giving Advice to the Perceptron

Gautam Kunapuli, Kristin P. Bennett, Richard Maclin, 2010 .

Advice Refinement in Knowledge-Based Support Vector Machines

Gautam Kunapuli, Richard Maclin, Jude Shavlik, 2007 .

Human-Guided Column Networks: Augmenting Deep Learning with Advice

Sriraam Natarajan, Mayukh Das, Devendra Singh Dhami, 2018 .

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

Julian Yarkony, Gautam Kunapuli, Sven Koenig, 2021, ArXiv.

Skill Mastery Measurement and Prediction to Adapt Instruction Strategies

Jacob Yadegar, Gautam Kunapuli, Priya Ganapathy, 2021, HCI.

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

David Page, Devendra Singh Dhami, Gautam Kunapuli, 2021, AIME.

Knowledge Intensive Learning : Directed vs Undirected SRL Models

Prasad Tadepalli, Gautam Kunapuli, Sriraam Natarajan, 2009 .

MIRROR DESCENT FOR METRIC LEARNING

Gautam Kunapuli, Jude Shavlik, J. Shavlik, 2010 .