Farzaneh Mirzazadeh

According to our database, Farzaneh Mirzazadeh authored at least 10 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization.

Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto.

Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno

CoRR, 2024

2023

GC-Flow: A Graph-Based Flow Network for Effective Clustering.

Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen

Proceedings of the International Conference on Machine Learning, 2023

2019

BreGMN: scaled-Bregman Generative Modeling Networks.

Akash Srivastava, Kristjan H. Greenewald, Farzaneh Mirzazadeh

CoRR, 2019

Hierarchical Optimal Transport for Document Representation.

Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Alleviating Label Switching with Optimal Transport.

Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon, Mikhail Yurochkin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Embeddings into Entropic Wasserstein Spaces.

Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon

Proceedings of the 7th International Conference on Learning Representations, 2019

2015

Scalable Metric Learning for Co-Embedding.

Farzaneh Mirzazadeh, Martha White, András György, Dale Schuurmans

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Embedding Inference for Structured Multilabel Prediction.

Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Convex Co-embedding.

Farzaneh Mirzazadeh, Yuhong Guo, Dale Schuurmans

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014