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ORCIDKhashayar Rohanimanesh
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2020 – today
- 2024
[i4]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 abs/2406.08878 (2024)- 2023
- [c15]Khashayar Rohanimanesh, Jake Metzger
, William Richards, Aviv Tamar:
Online Tool Selection with Learned Grasp Prediction Models. ICRA 2023: 5844-5850 - [i3]Khashayar Rohanimanesh, Jake Metzger, William Richards, Aviv Tamar:
Online Tool Selection with Learned Grasp Prediction Models. CoRR abs/2302.07940 (2023) - 2020
- [i2]Coline Devin, Payam Rowghanian, Chris Vigorito, William Richards, Khashayar Rohanimanesh:
Self-Supervised Goal-Conditioned Pick and Place. CoRR abs/2008.11466 (2020)
2010 – 2019
- 2018
- [c14]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 - [c13]Michal Derezinski, Khashayar Rohanimanesh, Aamer Hydrie:
Discovering Surprising Documents with Context-Aware Word Representations. IUI 2018: 31-35 - 2013
- [i1]Khashayar Rohanimanesh, Sridhar Mahadevan:
Decision-Theoretic Planning with Concurrent Temporally Extended Actions. CoRR abs/1301.2307 (2013) - 2011
- [c12]Michael L. Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew McCallum:
SampleRank: Training Factor Graphs with Atomic Gradients. ICML 2011: 777-784
2000 – 2009
- 2009
- [c11]Michael L. Wick, Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum:
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference. NIPS 2009: 2044-2052 - [c10]Michael L. Wick, Aron Culotta, Khashayar Rohanimanesh, Andrew McCallum:
An Entity Based Model for Coreference Resolution. SDM 2009: 365-376 - 2008
- [c9]Michael L. Wick, Khashayar Rohanimanesh, Karl Schultz, Andrew McCallum:
A unified approach for schema matching, coreference and canonicalization. KDD 2008: 722-730 - [c8]Michael L. Wick, Khashayar Rohanimanesh, Andrew McCallum, AnHai Doan:
A Discriminative Approach to Ontology Mapping. NTII 2008: 16-19 - 2007
- [j1]Charles Sutton, Andrew McCallum, Khashayar Rohanimanesh:
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data. J. Mach. Learn. Res. 8: 693-723 (2007) - [c7]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: 317-322 - 2005
- [c6]Khashayar Rohanimanesh, Sridhar Mahadevan:
Coarticulation: an approach for generating concurrent plans in Markov decision processes. ICML 2005: 720-727 - 2004
- [c5]Charles Sutton, Khashayar Rohanimanesh, Andrew McCallum:
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data. ICML 2004 - [c4]Khashayar Rohanimanesh, Robert Platt Jr., Sridhar Mahadevan, Roderic A. Grupen:
Coarticulation in Markov Decision Processes. NIPS 2004: 1137-1144 - 2002
- [c3]Khashayar Rohanimanesh, Sridhar Mahadevan:
Learning to Take Concurrent Actions. NIPS 2002: 1619-1626 - 2001
- [c2]Georgios Theocharous, Khashayar Rohanimanesh, Sridhar Mahadevan:
Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. ICRA 2001: 511-516 - [c1]Khashayar Rohanimanesh, Sridhar Mahadevan:
Decision-Theoretic Planning with Concurrent Temporally Extended Actions. UAI 2001: 472-479
Coauthor Index
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