| Hierarchical optimal transport for document representation M Yurochkin, S Claici, E Chien, F Mirzazadeh, JM Solomon Advances in neural information processing systems 32, 2019 | 98 | 2019 |
| Learning Embeddings into Entropic Wasserstein Spaces C Frogner, F Mirzazadeh, J Solomon International Conference on Learning Representations (ICLR), 2019 | 50* | 2019 |
| Embedding inference for structured multilabel prediction F Mirzazadeh, S Ravanbakhsh, N Ding, D Schuurmans Advances in Neural Information Processing Systems, 3555-3563, 2015 | 22 | 2015 |
| Convex Co-embedding F Mirzazadeh, Y Guo, D Schuurmans Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 | 20 | 2014 |
| A new learning algorithm for the MAXQ hierarchical reinforcement learning method F Mirzazadeh, B Behsaz, H Beigy Information and Communication Technology, 2007. ICICT'07. International …, 2007 | 12 | 2007 |
| Scalable metric learning for co-embedding F Mirzazadeh, M White, A György, D Schuurmans Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 8 | 2015 |
| From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto S Wasserkrug, L Boussioux, D Hertog, F Mirzazadeh, I Birbil, J Kurtz, ... arXiv preprint arXiv:2402.16269, 2024 | 6 | 2024 |
| BreGMN: scaled-Bregman generative modeling networks A Srivastava, K Greenewald, F Mirzazadeh arXiv preprint arXiv:1906.00313, 2019 | 6 | 2019 |
| Alleviating label switching with optimal transport P Monteiller, S Claici, E Chien, F Mirzazadeh, JM Solomon, M Yurochkin Advances in Neural Information Processing Systems, 13612-13622, 2019 | 6 | 2019 |
| GC-Flow: A Graph-Based Flow Network for Effective Clustering T Wang, F Mirzazadeh, X Zhang, J Chen International Conference on Machine Learning, 2023 | 5 | 2023 |
| AUT-Talk: a Farsi talking head R Safabakhsh, F Mirzazadeh Information and Communication Technologies, 2006. ICTTA'06., 2006 | 5 | 2006 |
| Solving association problems with convex co-embedding F Mirzazadeh | 2 | 2017 |
| Using SNP data to predict radiation toxicity for prostate cancer patients F Mirzazadeh | 1 | 2010 |
| Data dependent loss functions for focused generalization and transfer learning F Mirzazadeh, D Schuurmans ICML Workshop on Unsupervised and Transfer Learning, 2011 | | 2011 |
| Online recognition of handwritten Persian words using a novel hierarchical fuzzy system F Mirzazadeh, S Bagheri Shouraki | | 2007 |
| Supplementary Material: Alleviating Label Switching with Optimal Transport P Monteiller, S Claici, E Chien, F Mirzazadeh, J Solomon, M Yurochkin | | |
| Supplementary material for Hierarchical Optimal Transport for Document Representation M Yurochkin, S Claici, E Chien, F Mirzazadeh, J Solomon | | |
Justin SolomonMITGeverifieerd e-mailadres voor mit.edu
