Farzaneh Mirzazadeh

14 papers A* 5Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization. AAAI Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno
2024	J	`jnl`	From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto. CoRR Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno
2023	A*	`conf`	GC-Flow: A Graph-Based Flow Network for Effective Clustering. ICML Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen
2023	J	`jnl`	GC-Flow: A Graph-Based Flow Network for Effective Clustering. CoRR Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen
2019	A*	`conf`	Alleviating Label Switching with Optimal Transport. NeurIPS Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon, Mikhail Yurochkin
2019	J	`jnl`	Alleviating Label Switching with Optimal Transport. CoRR Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon, Mikhail Yurochkin
2019	J	`jnl`	BreGMN: scaled-Bregman Generative Modeling Networks. CoRR Akash Srivastava, Kristjan H. Greenewald, Farzaneh Mirzazadeh
2019	A*	`conf`	Hierarchical Optimal Transport for Document Representation. NeurIPS Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon
2019	J	`jnl`	Hierarchical Optimal Transport for Document Representation. CoRR Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon
2019	—	`conf`	Learning Embeddings into Entropic Wasserstein Spaces. ICLR (Poster) Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon
2019	J	`jnl`	Learning Embeddings into Entropic Wasserstein Spaces. CoRR Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon
2015	—	`conf`	Embedding Inference for Structured Multilabel Prediction. NIPS Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding, Dale Schuurmans
2015	—	`conf`	Scalable Metric Learning for Co-Embedding. ECML/PKDD (1) Farzaneh Mirzazadeh, Martha White, András György, Dale Schuurmans
2014	A*	`conf`	Convex Co-embedding. AAAI Farzaneh Mirzazadeh, Yuhong Guo, Dale Schuurmans