Mandana Saebi

According to our database, Mandana Saebi authored at least 10 papers between 2017 and 2025.

Collaborative distances:

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

2025

Apple Intelligence Foundation Language Models: Tech Report 2025.

Hanzhi Zhou, Erik Hornberger, Pengsheng Guo, Xiyou Zhou, Saiwen Wang, Xin Wang, Yifei He, Xuankai Chang, Rene Rauch, Louis D'hauwe, John Peebles, Alec Doane, Kohen Chia, Jenna Thibodeau, Zi-Yi Dou, Yuanyang Zhang, Ruoming Pang, Reed Li, Zhifeng Chen, Jeremy Warner, Zhaoyang Xu, Sophy Lee, David Mizrahi, Ramsey Tantawi, Chris Chaney, Kelsey Peterson, Jun Qin, Alex Dombrowski, Mira Chiang, Aiswarya Raghavan, Gerard Casamayor, Qibin Chen, Aonan Zhang, Nathalie Tran, Jianyu Wang, Hang Su, Thomas Voice, Alessandro Pappalardo, Brycen Wershing, Prasanth Yadla, Rui Li, Priyal Chhatrapati, Ismael Fernandez, Yusuf Goren, Xin Zheng, Forrest Huang, Tao Lei, Eray Yildiz, Alper Kokmen, Gokula Santhanam, Areeba Kamal, Kaan Elgin, Dian Ang Yap, Jeremy Liu, Peter Gray, Howard Xing, Kieran Liu, Matteo Ronchi, Moritz Schwarzer-Becker, Yun Zhu, Mandana Saebi, Jeremy Snow, David Griffiths, Guillaume Tartavel, Erin Feldman, Simon Lehnerer, Fernando Bermúdez-Medina, Hans Han, Joe Zhou, Xiaoyi Ren, Sujeeth Reddy, Zirui Wang, Tom Gunter, Albert Antony, Yuanzhi Li, John Dennison, Tony Sun, Yena Han, Yi Qin, Sam Davarnia, Jeffrey P. Bigham, Wayne Shan, Hannah Gillis Coleman, Guillaume Klein, Peng Liu, Muyang Yu, Jack Cackler, Yuan Gao, Crystal Xiao, Binazir Karimzadeh, Zhengdong Zhang, Felix Bai, Albin Madappally Jose, Feng Nan, Nazir Kamaldin, Dong Yin, Hans Hao, Yanchao Sun, Yi Hua, Charles Maalouf

CoRR, July, 2025

2022

Heterogeneous relational reasoning in knowledge graphs with reinforcement learning.

Mandana Saebi, Steven Kreig, Chuxu Zhang, Meng Jiang, Tomasz Kajdanowicz, Nitesh V. Chawla

Inf. Fusion, 2022

2021

A Discriminative Entity-Aware Language Model for Virtual Assistants.

Mandana Saebi, Ernest Pusateri, Aaksha Meghawat, Christophe Van Gysel

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection.

Mandana Saebi, Jian Xu, Lance M. Kaplan, Bruno Ribeiro, Nitesh V. Chawla

EPJ Data Sci., 2020

Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning.

Mandana Saebi, Steven J. Krieg, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla

CoRR, 2020

HONEM: Learning Embedding for Higher Order Networks.

Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla

Big Data, 2020

Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases.

Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data.

Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla

CoRR, 2019

2017

Detecting Anomalies in Sequential Data with Higher-order Networks.

Jian Xu, Mandana Saebi, Bruno Ribeiro, Lance M. Kaplan, Nitesh V. Chawla

CoRR, 2017

A Minimum-Cost Flow Model for Workload Optimization on Cloud Infrastructure.

Frederick Nwanganga, Mandana Saebi, Gregory R. Madey, Nitesh V. Chawla

Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017