Sotabase

Career

· Staff Research Scientist, Nuro2023–
· Principal Research Scientist, OSARO2019–2023
· Senior Research Scientist, Osaro, Inc.2015–2019
· Research Scientist, eBay Research Labs2009–2014
· Postdoctoral Research Associate, University of Massachusetts Amherst2007–2009
· Postdoctoral Research Associate, Massachusetts Institute of Technology (MIT)2006–2007

Publications (36)

Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
Journal of machine learning research · 2004
933
cited
Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation
2001
67
cited
SampleRank: Training Factor Graphs with Atomic Gradients
International Conference on Machine Learning · 2011
62
cited
Learning to Take Concurrent Actions
Neural Information Processing Systems · 2002
60
cited
A unified approach for schema matching, coreference and canonicalization
Knowledge Discovery and Data Mining · 2008
58
cited
An Entity Based Model for Coreference Resolution
SDM · 2009
51
cited
Dynamic Conditional Random Fields for Jointly Labeling Multiple Sequences
2003
50
cited
Decision-Theoretic Planning with Concurrent Temporally Extended Actions
Conference on Uncertainty in Artificial Intelligence · 2001
49
cited
SampleRank : Learning Preferences from Atomic Gradients
2009
42
cited
Structuring E-Commerce Inventory
Annual Meeting of the Association for Computational Linguistics · 2012
26
cited
FACTORIE: Efficient Probabilistic Programming for Relational Factor Graphs via Imperative Declarations of Structure, Inference and Learning
2008
25
cited
Learning hierarchical observable Markov decision process models for robot navigation
Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164) · 2001
23
cited
Coarticulation: an approach for generating concurrent plans in Markov decision processes
International Conference on Machine Learning · 2005
21
cited
Imitation Learning from Visual Data with Multiple Intentions
International Conference on Learning Representations · 2018
15
cited
Collision detection in legged locomotion using supervised learning
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems · 2007
12
cited
A Discriminative Approach to Ontology Mapping
International Workshop on New Trends in Information Integration · 2008
11
cited
Inference and Learning in Large Factor Graphs with Adaptive Proposal Distributions and a Rank-based Objective
2009
11
cited
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving
arXiv.org · 2024
10
cited
Self-Supervised Goal-Conditioned Pick and Place
arXiv.org · 2020
10
cited
An Information Theoretic Approach to Quantifying Text Interestingness
2014
8
cited
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Khashayar Rohanimanesh | Researcher Profile | Sotabase | Sotabase