| 2023 | ICRA | Online Tool Selection with Learned Grasp Prediction Models. | Khashayar Rohanimanesh, Jake Metzger, William Richards, Aviv Tamar |
| 2018 | ICLR | Imitation Learning from Visual Data with Multiple Intentions. | Aviv Tamar, Khashayar Rohanimanesh, Yinlam Chow, Chris Vigorito, Ben Goodrich, Michael Kahane, Derik Pridmore |
| 2018 | IUI | Discovering Surprising Documents with Context-Aware Word Representations. | Michal Derezinski, Khashayar Rohanimanesh, Aamer Hydrie |
| 2011 | ICML | SampleRank: Training Factor Graphs with Atomic Gradients. | Michael L. Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew McCallum |
| 2009 | SDM | An Entity Based Model for Coreference Resolution. | Michael L. Wick, Aron Culotta, Khashayar Rohanimanesh, Andrew McCallum |
| 2008 | KDD | A unified approach for schema matching, coreference and canonicalization. | Michael L. Wick, Khashayar Rohanimanesh, Karl Schultz, Andrew McCallum |
| 2007 | IROS | Collision detection in legged locomotion using supervised learning. | Finale Doshi, Emma Brunskill, Alexander C. Shkolnik, Thomas Kollar, Khashayar Rohanimanesh, Russ Tedrake, Nicholas Roy |
| 2005 | ICML | Coarticulation: an approach for generating concurrent plans in Markov decision processes. | Khashayar Rohanimanesh, Sridhar Mahadevan |
| 2004 | ICML | Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data. | Charles Sutton, Khashayar Rohanimanesh, Andrew McCallum |
| 2001 | ICRA | Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. | Georgios Theocharous, Khashayar Rohanimanesh, Sridhar Mahadevan |
| 2001 | UAI | Decision-Theoretic Planning with Concurrent Temporally Extended Actions. | Khashayar Rohanimanesh, Sridhar Mahadevan |