Khashayar Rohanimanesh

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 6

Top Topics

Retrieved Documents

Prediction Model

Top Venues

Publications

Jonathan Booher, Khashayar Rohanimanesh, Junhong Xu, Vladislav Isenbaev, Ashwin Balakrishna, Ishan Gupta, Wei Liu, Aleksandr Petiushko
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving. CoRR (2024)
Khashayar Rohanimanesh, Jake Metzger, William Richards, Aviv Tamar
Online Tool Selection with Learned Grasp Prediction Models. CoRR (2023)
Khashayar Rohanimanesh, Jake Metzger, William Richards, Aviv Tamar
Online Tool Selection with Learned Grasp Prediction Models. ICRA (2023)
Coline Devin, Payam Rowghanian, Chris Vigorito, Will Richards, Khashayar Rohanimanesh
Self-Supervised Goal-Conditioned Pick and Place. CoRR (2020)
Aviv Tamar, Khashayar Rohanimanesh, Yinlam Chow, Chris Vigorito, Ben Goodrich, Michael Kahane, Derik Pridmore
Imitation Learning from Visual Data with Multiple Intentions. ICLR (Poster) (2018)
Michal Derezinski, Khashayar Rohanimanesh, Aamer Hydrie
Discovering Surprising Documents with Context-Aware Word Representations. IUI (2018)
Khashayar Rohanimanesh, Sridhar Mahadevan
Decision-Theoretic Planning with Concurrent Temporally Extended Actions CoRR (2013)
Michael L. Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew McCallum
SampleRank: Training Factor Graphs with Atomic Gradients. ICML (2011)
Michael L. Wick, Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference. NIPS (2009)
Michael L. Wick, Aron Culotta, Khashayar Rohanimanesh, Andrew McCallum
An Entity Based Model for Coreference Resolution. SDM (2009)
Michael L. Wick, Khashayar Rohanimanesh, Karl Schultz, Andrew McCallum
A unified approach for schema matching, coreference and canonicalization. KDD (2008)
Michael L. Wick, Khashayar Rohanimanesh, Andrew McCallum, AnHai Doan
A Discriminative Approach to Ontology Mapping. NTII (2008)
Finale Doshi, Emma Brunskill, Alexander C. Shkolnik, Thomas Kollar, Khashayar Rohanimanesh, Russ Tedrake, Nicholas Roy
Collision detection in legged locomotion using supervised learning. IROS (2007)
Charles Sutton, Andrew McCallum, Khashayar Rohanimanesh
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data. J. Mach. Learn. Res. 8 (2007)
Khashayar Rohanimanesh, Sridhar Mahadevan
Coarticulation: an approach for generating concurrent plans in Markov decision processes. ICML (2005)
Khashayar Rohanimanesh, Robert Platt Jr., Sridhar Mahadevan, Roderic A. Grupen
Coarticulation in Markov Decision Processes. NIPS (2004)
Charles Sutton, Khashayar Rohanimanesh, Andrew McCallum
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data. ICML (2004)
Khashayar Rohanimanesh, Sridhar Mahadevan
Learning to Take Concurrent Actions. NIPS (2002)
Khashayar Rohanimanesh, Sridhar Mahadevan
Decision-Theoretic Planning with Concurrent Temporally Extended Actions. UAI (2001)
Georgios Theocharous, Khashayar Rohanimanesh, Sridhar Mahadevan
Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. ICRA (2001)