Khashayar Rohanimanesh

3 papers · 2007–2018 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

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Venues

ICLR (1) JMLR (1) NeurIPS (1)

Top co-authors

Andrew McCallum (2) Derik Pridmore (1) Chris Vigorito (1) Yinlam Chow (1) Aviv Tamar (1) Michael J. Black (1) Michael Kahane (1) Charles Sutton (1) Ben Goodrich (1) Sameer Singh (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Core AI (2) Core Methods (2) Learning Types (2) Application Areas (1) Bayesian & Probabilistic (1) Learning Paradigms (1) Optimization & Theory (1)

Keywords

reinforcement learning (1) temporal difference learning (1) imitation learning (1) transfer learning (1) sequence labeling (1) belief propagation (1) robot learning (1) map inference (1) mcmc sampling (1) ontology alignment (1) temporal difference (1) factor graph (1) dynamic bayesian network (1) stochastic network (1) stochastic attention (1) visual data (1) dynamic conditional random field (1) multiple intention (1)

Papers

Imitation Learning from Visual Data with Multiple Intentions ICLR 2018 Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NeurIPS 2009 Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data JMLR 2007