Farzaneh Mirzazadeh

14 papers A* 5Journal 6Unranked 3
YearRankTypeTitle / 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