Puya Vahabi

Lecturer, Master in Information and Data Science, University of California, Berkeley

Joined

July 2019

Names

Puya Vahabi (Preferred)

Hossein Vahabi

Emails

****@berkeley.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Lecturer

Master in Information and Data Science, University of California, Berkeley (berkeley.edu)

2018 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

Deep Learning

2014 – 2024

Ranking

2010 – 2024

Publications

Inverse Design of Photonic Surfaces via High throughput Femtosecond Laser Processing and Tandem Neural Networks
Alok Singh, Puya Vahabi
- Advanced Science
- Readers: Everyone
Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning
Che Guan, Andrew Chin, Puya Vahabi
- CoRR 2024
- Readers: Everyone
Influence Maximization with Fairness at Scale
Yuting Feng, Ankitkumar Patel, Bogdan Cautis, Hossein Vahabi
- KDD 2023
- Readers: Everyone
Influence Maximization with Fairness at Scale (Extended Version)
Yuting Feng, Ankitkumar Patel, Bogdan Cautis, Hossein Vahabi
- CoRR 2023
- Readers: Everyone
Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT)
Rumi Nakagawa, Mary Chau, John Calzaretta, Trevor Keenan, Puya Vahabi, Alberto Todeschini, Maoya Bassiouni, Yanghui Kang
- CoRR 2023
- Readers: Everyone
SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data
Dhileeban Kumaresan, Richard Wang, Ernesto Martinez, Richard Cziva, Alberto Todeschini, Colorado J. Reed, Hossein Vahabi
- 2022 (modified: 22 Nov 2022)
- CoRR 2022
- Readers: Everyone
HyperionSolarNet: Solar Panel Detection from Aerial Images
Poonam Parhar, Ryan Sawasaki, Alberto Todeschini, Colorado Reed, Hossein Vahabi, Nathan Nusaputra, Felipe Vergara
- 2022 (modified: 22 Nov 2022)
- CoRR 2022
- Readers: Everyone
Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources
Malachy Moran, Kayla Woputz, Derrick Hee, Manuela Girotto, Paolo D'Odorico, Ritwik Gupta, Daniel Feldman, Puya Vahabi, Alberto Todeschini, Colorado J. Reed
- 2022 (modified: 22 Nov 2022)
- CoRR 2022
- Readers: Everyone
Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery
Chitra Agastya, Sirak Ghebremusse, Ian Anderson, Colorado Reed, Hossein Vahabi, Alberto Todeschini
- 2021 (modified: 22 Nov 2022)
- CoRR 2021
- Readers: Everyone
High-resolution global irrigation prediction with Sentinel-2 30m data
Weixin Wu, Sonal Thakkar, Will Hawkins, Puya Vahabi, Alberto Todeschini
- CoRR 2020
- Readers: Everyone

View all 33 publications

Co-Authors

View all 77 co-authors