Mehran Kazemi

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David PooleProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Bahare FatemiResearch Scientist, Google ResearchVerified email at google.com
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Jas SahotaUniversity of Toronto, GoogleVerified email at physics.utoronto.ca
Marcus A BrubakerResearch Scientist, Google DeepMind; Associate Prof, York University; Affiliate, Vector InstituteVerified email at yorku.ca
Ivan KobyzevML Researcher, Huawei Noah's ArkVerified email at uwaterloo.ca
Deepak RamachandranGoogle ResearchVerified email at google.com
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISVerified email at cs.tu-darmstadt.de
Sriraam NatarajanUniversity of Texas at DallasVerified email at utdallas.edu
Layla El AsriResearch Lead at Borealis AIVerified email at borealisai.com
Anton TsitsulinResearch Scientist, Google ResearchVerified email at google.com
Bryan PerozziGoogle ResearchVerified email at google.com
Najoung KimBoston UniversityVerified email at bu.edu
Guy Van den BroeckProfessor and Samueli Fellow, UCLAVerified email at cs.ucla.edu
Rishabh AgarwalStaff Research Scientist, Google DeepMind. Adjunct Prof, McGillVerified email at google.com
Panupong PasupatGoogleVerified email at cs.stanford.edu
Man LuoArizona State UniversityVerified email at asu.edu
Arian HosseiniMilaVerified email at umontreal.ca
Hritik BansalUniversity of California Los Angeles | Indian Institute of Technology DelhiVerified email at g.ucla.edu
He HeNew York UniversityVerified email at cs.nyu.edu

Mehran Kazemi

Staff Research Scientist, Google DeepMind

Verified email at google.com - Homepage

Machine Learning Large Language Models Reasoning Artificial General Intelligence


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Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023	2403	2023
Simple embedding for link prediction in knowledge graphs SM Kazemi, D Poole NeurIPS, 2018	994	2018
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024	897	2024
Representation learning for dynamic graphs: A survey SM Kazemi, R Goel, K Jain, I Kobyzev, A Sethi, P Forsyth, P Poupart The Journal of Machine Learning Research 21 (1), 2648-2720, 2020	533	2020
Time2vec: Learning a vector representation of time SM Kazemi, R Goel, S Eghbali, J Ramanan, J Sahota, S Thakur, S Wu, ... arXiv preprint arXiv:1907.05321, 2019	478	2019
Diachronic embedding for temporal knowledge graph completion R Goel, SM Kazemi, M Brubaker, P Poupart AAAI, 2020	399	2020
Gemini: A family of highly capable multimodal models R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805 1, 2023	285	2023
Gemma 2: Improving open language models at a practical size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024	262	2024
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks B Fatemi, LE Asri, SM Kazemi NeurIPS, 2021	178	2021
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language SM Kazemi, N Kim, D Bhatia, X Xu, D Ramachandran ACL, 2023	73	2023
Relational Logistic Regression SM Kazemi, D Buchman, K Kersting, S Natarajan, D Poole in Proc. 14th International Conference on Principles of Knowledge …, 2014	69	2014
RelNN: A deep neural model for relational learning SM Kazemi, D Poole AAAI, 2018	65	2018
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples A Saparov, RY Pang, V Padmakumar, N Joshi, SM Kazemi, N Kim, H He NeurIPS, 2023	54	2023
New liftable classes for first-order probabilistic inference SM Kazemi, A Kimmig, GV Broeck, D Poole NeurIPS, 2016	47	2016
Generative verifiers: Reward modeling as next-token prediction L Zhang, A Hosseini, H Bansal, M Kazemi, A Kumar, R Agarwal arXiv preprint arXiv:2408.15240, 2024	45*	2024
Relational representation learning for dynamic (knowledge) graphs: A survey SM Kazemi, R Goel, K Jain, I Kobyzev, A Sethi, P Forsyth, P Poupart Journal of Machine Learning Research (JMLR) 21 (70), 1-73, 2020	43	2020
Population size extrapolation in relational probabilistic modelling D Poole, D Buchman, SM Kazemi, K Kersting, S Natarajan Scalable Uncertainty Management: 8th International Conference, SUM 2014 …, 2014	38	2014
Dr. ICL: Demonstration-Retrieved In-context Learning M Luo, X Xu, Z Dai, P Pasupat, M Kazemi, C Baral, V Imbrasaite, VY Zhao FoMo Workshop, 2023	37	2023
Let your graph do the talking: Encoding structured data for llms B Perozzi, B Fatemi, D Zelle, A Tsitsulin, M Kazemi, R Al-Rfou, J Halcrow arXiv preprint arXiv:2402.05862, 2024	36	2024
Geomverse: A systematic evaluation of large models for geometric reasoning M Kazemi, H Alvari, A Anand, J Wu, X Chen, R Soricut arXiv preprint arXiv:2312.12241, 2023	36	2023

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