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ORCIDFarzaneh Mirzazadeh
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2020 – today
- 2024
[i6]Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno:
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto. CoRR abs/2402.16269 (2024)- 2023
- [c7]Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen:
GC-Flow: A Graph-Based Flow Network for Effective Clustering. ICML 2023: 36157-36173 - [i5]Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen:
GC-Flow: A Graph-Based Flow Network for Effective Clustering. CoRR abs/2305.17284 (2023)
2010 – 2019
- 2019
- [c6]Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon:
Learning Embeddings into Entropic Wasserstein Spaces. ICLR (Poster) 2019 - [c5]Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon:
Hierarchical Optimal Transport for Document Representation. NeurIPS 2019: 1599-1609 - [c4]Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon, Mikhail Yurochkin:
Alleviating Label Switching with Optimal Transport. NeurIPS 2019: 13612-13622 - [i4]Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon:
Learning Embeddings into Entropic Wasserstein Spaces. CoRR abs/1905.03329 (2019) - [i3]Akash Srivastava, Kristjan H. Greenewald, Farzaneh Mirzazadeh:
BreGMN: scaled-Bregman Generative Modeling Networks. CoRR abs/1906.00313 (2019) - [i2]Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon:
Hierarchical Optimal Transport for Document Representation. CoRR abs/1906.10827 (2019) - [i1]Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon, Mikhail Yurochkin:
Alleviating Label Switching with Optimal Transport. CoRR abs/1911.02053 (2019) - 2015
- [c3]Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding, Dale Schuurmans:
Embedding Inference for Structured Multilabel Prediction. NIPS 2015: 3555-3563 - [c2]Farzaneh Mirzazadeh, Martha White, András György
, Dale Schuurmans:
Scalable Metric Learning for Co-Embedding. ECML/PKDD (1) 2015: 625-642 - 2014
- [c1]Farzaneh Mirzazadeh, Yuhong Guo, Dale Schuurmans:
Convex Co-embedding. AAAI 2014: 1989-1996
Coauthor Index
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