Area of research
Artificial Intelligence · Control and Systems Engineering
Research interest
Research interests include Computer science, Artificial intelligence, Classifier (UML), Minimax, Trajectory, and Machine learning.
Robot Learning to Mop Like Humans Using Video Demonstrations
Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs
Deep Correspondence Learning for Effective Robotic Teleoperation using Virtual Reality
Inverse Optimal Heuristic Control for Imitation Learning
Efficient and Consistent Adversarial Bipartite Matching
International Conference on Machine Learning 2018cited by 9position: last
A Deep Learning Approach to Identifying Shock Locations in Turbulent Combustion Tensor Fields
Adversarial Surrogate Losses for Ordinal Regression
Neural Information Processing Systems 2017cited by 21position: last
Goal-predictive robotic teleoperation from noisy sensors
Robust Covariate Shift Regression
International Conference on Artificial Intelligence and Statistics 2016cited by 35position: last
Adversarial sequence tagging
2016cited by 13position: middle
Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment
Adversarial prediction games for multivariate losses
Neural Information Processing Systems 2015cited by 22position: last
Graph-based inverse optimal control for robot manipulation
2015cited by 18position: middle
Adversarial cost-sensitive classification
Uncertainty in Artificial Intelligence 2015cited by 18position: last
Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction
Robust Classification Under Sample Selection Bias
Neural Information Processing Systems 2014cited by 69position: last
Leveraging Machine Learning to Improve Unwanted Resource Filtering
The Principle of Maximum Causal Entropy for Estimating Interacting Processes