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Benjamin Ghaemmaghami
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2020 – today
- 2023
- [c4]Zihao Deng, Benjamin Ghaemmaghami, Ashish Kumar Singh, Benjamin Y. Cho, Leo Orshansky, Mattan Erez, Michael Orshansky:
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training. ACML 2023: 263-278 - [i3]Zihao Deng, Benjamin Ghaemmaghami, Ashish Kumar Singh, Benjamin Y. Cho, Leo Orshansky, Mattan Erez, Michael Orshansky:
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training. CoRR abs/2309.15881 (2023) - 2022
- [i2]Benjamin Ghaemmaghami, Mustafa Ozdal, Rakesh Komuravelli, Dmitriy Korchev, Dheevatsa Mudigere, Krishnakumar Nair, Maxim Naumov:
Learning to Collide: Recommendation System Model Compression with Learned Hash Functions. CoRR abs/2203.15837 (2022) - 2020
- [i1]Benjamin Ghaemmaghami, Zihao Deng, Benjamin Y. Cho, Leo Orshansky, Ashish Kumar Singh, Mattan Erez, Michael Orshansky:
Training with Multi-Layer Embeddings for Model Reduction. CoRR abs/2006.05623 (2020)
2010 – 2019
- 2019
- [c3]Ridwan Alam
, David B. Peden
, Benjamin Ghaemmaghami, John C. Lach:
Inferring Respiratory Minute Volume from Wrist Motion. EMBC 2019: 6935-6938 - 2017
- [c2]Ridwan Alam
, Joshua Dugan, Nutta Homdee, Neeraj Gandhi, Benjamin Ghaemmaghami, Harshitha Meda
, Azziza Bankole, Martha S. Anderson, Jiaqi Gong, Tonya L. Smith-Jackson, John C. Lach:
BESI: Reliable and Heterogeneous Sensing and Intervention for In-home Health Applications. CHASE 2017: 147-156 - [c1]Dawei Fan, Jiaqi Gong, Benjamin Ghaemmaghami, Anyi Zhang, John C. Lach, David B. Peden
:
Characterizing and Calibrating Low-Cost Wearable Ozone Sensors in Dynamic Environments. CHASE 2017: 300-301
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