Khashayar Rohanimanesh

According to our database, Khashayar Rohanimanesh authored at least 16 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Online Tool Selection with Learned Grasp Prediction Models.

Khashayar Rohanimanesh, Jake Metzger, William Richards, Aviv Tamar

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2020

Self-Supervised Goal-Conditioned Pick and Place.

Coline Devin, Payam Rowghanian, Chris Vigorito, William Richards, Khashayar Rohanimanesh

CoRR, 2020

2018

Discovering Surprising Documents with Context-Aware Word Representations.

Michal Derezinski, Khashayar Rohanimanesh, Aamer Hydrie

Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

Imitation Learning from Visual Data with Multiple Intentions.

Aviv Tamar, Khashayar Rohanimanesh, Yinlam Chow, Chris Vigorito, Ben Goodrich, Michael Kahane, Derik Pridmore

Proceedings of the 6th International Conference on Learning Representations, 2018

2011

SampleRank: Training Factor Graphs with Atomic Gradients.

Michael L. Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew McCallum

Proceedings of the 28th International Conference on Machine Learning, 2011

2009

An Entity Based Model for Coreference Resolution.

Michael L. Wick, Aron Culotta, Khashayar Rohanimanesh, Andrew McCallum

Proceedings of the SIAM International Conference on Data Mining, 2009

Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference.

Michael L. Wick, Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

A Discriminative Approach to Ontology Mapping.

Michael L. Wick, Khashayar Rohanimanesh, Andrew McCallum, AnHai Doan

Proceedings of the International Workshop on New Trends in Information Integration, 2008

A unified approach for schema matching, coreference and canonicalization.

Michael L. Wick, Khashayar Rohanimanesh, Karl Schultz, Andrew McCallum

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data.

Charles Sutton, Andrew McCallum, Khashayar Rohanimanesh

J. Mach. Learn. Res., 2007

Collision detection in legged locomotion using supervised learning.

Finale Doshi, Emma Brunskill, Alexander C. Shkolnik, Thomas Kollar, Khashayar Rohanimanesh, Russ Tedrake, Nicholas Roy

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

2005

Coarticulation: an approach for generating concurrent plans in Markov decision processes.

Khashayar Rohanimanesh, Sridhar Mahadevan

Proceedings of the Machine Learning, 2005

2004

Coarticulation in Markov Decision Processes.

Khashayar Rohanimanesh, Robert Platt Jr., Sridhar Mahadevan, Roderic A. Grupen

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2002

Learning to Take Concurrent Actions.

Khashayar Rohanimanesh, Sridhar Mahadevan

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Decision-Theoretic Planning with Concurrent Temporally Extended Actions.

Khashayar Rohanimanesh, Sridhar Mahadevan

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation.

Georgios Theocharous, Khashayar Rohanimanesh, Sridhar Mahadevan

Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001