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Resume (English only)
Academic Achievements
- [{'Title': 'Out-of-Sample Representation Learning for Knowledge Graphs', 'Authors': 'Albooyeh, M., Goel, R., and Kazemi, S.M.', 'PublishedIn': 'EMNLP findings', 'Date': 'November, 2020'}, {'Title': 'Stay Positive: Knowledge Graph Embedding Without Negative Sampling', 'Authors': 'Hajimoradlou, A. and Kazemi, S.M.', 'PublishedIn': 'ICML Workshop on Graph Representation Learning and Beyond', 'Date': 'July, 2020'}, {'Title': 'Diachronic Embedding for Temporal Knowledge Graph Completion', 'Authors': 'Goel*, R., Kazemi*, S.M., Brubaker M., and Poupart, P. (*Equal Contribution)', 'PublishedIn': 'Association for the Advancements of Artificial Intelligence (AAAI)', 'Date': 'February, 2020'}, {'Title': 'Representation Learning for Dynamic Graphs: A Survey', 'Authors': 'Kazemi, S.M., Goel, R., Jain, K., Kobyzev, I., Sethi, A., Forsyth, P., and Poupart, P.', 'PublishedIn': 'Journal of Machine Learning Research (JMLR)', 'Date': '2020'}, {'Title': 'Time2Vec: Learning a Vector Representation of Time', 'Authors': 'Kazemi*, S.M., Goel*, R., Eghbali*, S., Ramanan, J., Sahota, J., Thakur, S., Wu, S., Smyth, C., Poupart, P. and Brubaker M. (*Equal Contribution)', 'PublishedIn': 'CoRR abs/1907.05321', 'Date': '2019'}, {'Title': 'Representing and Learning Relations and Properties Under Uncertainty', 'Authors': 'PhD Dissertation', 'PublishedIn': 'PhD Dissertation', 'Date': 'December, 2018'}, {'Title': 'SimplE Embedding for Link Prediction in Knowledge Graphs', 'Authors': 'Kazemi, S.M. and Poole, D.', 'PublishedIn': 'Neural Information Processing Systems (NeurIPS)', 'Date': 'December, 2018'}, {'Title': 'RelNN: A Deep Neural Model for Relational Learning', 'Authors': 'Kazemi, S.M. and Poole, D.', 'PublishedIn': 'Association for the Advancements of Artificial Intelligence (AAAI)', 'Date': 'February, 2018'}, {'Title': 'Bridging Weighted Rules and Graph Random Walks for Statistical Relational Models', 'Authors': 'Kazemi, S.M. and Poole, D.', 'PublishedIn': 'Frontiers in Robotics and AI', 'Date': 'February, 2018'}, {'Title': 'Comparing Aggregators for Relational Probabilistic Models', 'Authors': 'Kazemi, S.M., Fatemi, B., Kim, A., Peng, Z., Tora, M.R., Zeng X., Dirks, M. and Poole, D.', 'PublishedIn': 'UAI Workshop on Statistical Relational AI (StaRAI)', 'Date': 'August, 2017'}, {'Title': 'Domain Recursion for Lifted Inference with Existential Quantifiers', 'Authors': 'Kazemi, S.M., Kimmig, A., Van den Broeck, G. and Poole, D.', 'PublishedIn': 'UAI Workshop on Statistical Relational AI (StaRAI)', 'Date': 'August, 2017'}, {'Title': 'New Liftable classes for first-order probabilistic inference', 'Authors': 'Kazemi, S.M., Kimmig, A., Van den Broeck, G. and Poole, D.', 'PublishedIn': 'Neural Information Processing Systems (NIPS)', 'Date': 'December, 2016'}, {'Title': 'Why is Compiling Lifted Inference into a Low-Level Language so Effective?', 'Authors': 'Kazemi, S.M. and Poole, D.', 'PublishedIn': 'IJCAI Workshop on Statistical Relational AI (StaRAI)', 'Date': 'July, 2016'}, {'Title': 'Knowledge Compilation for Lifted Probabilistic Inference: Compiling to a Low-level Language (short paper)', 'Authors': 'Kazemi, S.M. and Poole, D.', 'PublishedIn': 'Principles of Knowledge Representation and Reasoning (KR)', 'Date': 'April, 2016'}, {'Title': 'A Learning Algorithm for Relational Logistic Regression: Preliminary Results', 'Authors': 'Fatemi, B., Kazemi, S.M. and Poole, D.', 'PublishedIn': 'IJCAI Workshop on Statistical Relational AI (StaRAI)', 'Date': 'July, 2016'}, {'Title': 'Population Size Extrapolation in Relational Probabilistic Modelling', 'Authors': 'Kazemi, S.M., Buchman, D., Kersting, K., Natarajan, S. and Poole, D.', 'PublishedIn': 'Scalable Uncertainty Management (SUM)', 'Date': 'September, 2014'}, {'Title': 'Relational Logistic Regression', 'Authors': 'Kazemi, S.M., Buchman, D., Kersting, K., Natarajan, S. and Poole, D.', 'PublishedIn': 'Principles of Kn', 'Date': 'Not provided'}]
Research Experience
- [{'Position': 'Research Scientist', 'Institution': 'Google Research', 'Period': 'June 2021 - Current'}, {'Position': 'Senior Machine Learning Researcher', 'Institution': 'Borealis AI', 'Period': 'May 2020 - June 2021'}, {'Position': 'Machine Learning Researcher', 'Institution': 'Borealis AI', 'Period': 'October 2018 - May 2020'}, {'Position': 'Lead Machine Learning Scientist (part-time)', 'Institution': 'TalentSnap', 'Period': 'August 2017 - September 2018'}, {'Position': 'Machine Learning Contractor', 'Institution': 'Telus', 'Period': 'July 2016 - August 2017'}, {'Position': 'Intern (NSERC ENGAGE Grant)', 'Institution': 'Curatio', 'Period': 'September 2014 - March 2015'}]
Background
- Research interests include representing and learning relations and properties under uncertainty. He is a Research Scientist at Google Research in Montreal, Canada.
Co-authors: 0 (list not available)