Seyedramin Rasoulinezhad

Joined

October 2020

Names

Seyedramin Rasoulinezhad (Preferred)

Emails

****@sydney.edu.au (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

PhD student

University of Sydney (sydney.edu.au)

2018 – 2023

Undergrad student

Sharif University of Technology (sharif.edu)

2012 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Philip Leong

2018 – 2023

PhD Advisor

David Boland

2018 – 2023

Expertise

No areas of expertise listed

Publications

Applications and Techniques for Fast Machine Learning in Science
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomas E. Muller Bravo, Markus Diefenthaler et al. (27 additional authors not shown)
- 2022 (modified: 06 Jun 2022)
- Frontiers Big Data 2022
- Readers: Everyone
NITI: Training Integer Neural Networks Using Integer-Only Arithmetic
Maolin Wang, Seyedramin Rasoulinezhad, Philip H. W. Leong, Hayden Kwok-Hay So
- 2022 (modified: 12 Nov 2022)
- IEEE Trans. Parallel Distributed Syst. 2022
- Readers: Everyone
FPGA Architecture Exploration for DNN Acceleration
Esther Roorda, Seyedramin Rasoulinezhad, Philip H. W. Leong, Steven J. E. Wilton
- 2022 (modified: 31 Mar 2023)
- ACM Trans. Reconfigurable Technol. Syst. 2022
- Readers: Everyone
Rethinking Embedded Blocks for Machine Learning Applications
Seyedramin Rasoulinezhad, Esther Roorda, Steve Wilton, Philip H. W. Leong, David Boland
- 2022 (modified: 31 Mar 2023)
- ACM Trans. Reconfigurable Technol. Syst. 2022
- Readers: Everyone
Modified Joint Channel-and-Data Estimation for One-Bit Massive MIMO
Mohammadhossein Bahari, Seyedramin Rasoulinezhad, Mahdi Amiri, Farzam Gilani, Saeed Saadatnejad, Seyed Alireza Nezamalhosseini, Mahdi Shabany
- 2021 (modified: 16 Nov 2022)
- ISCAS 2021
- Readers: Everyone
MLBlocks: FPGA Blocks for Machine Learning Applications
Seyedramin Rasoulinezhad, David Boland, Philip H. W. Leong
- 2021 (modified: 31 Mar 2023)
- FPGA 2021
- Readers: Everyone
APIR-DSP: An approximate PIR-DSP architecture for error-tolerant applications
Yuan Dai, Simin Liu, Yao Lu, Hao Zhou, Seyedramin Rasoulinezhad, Philip H. W. Leong, Lingli Wang
- 2021 (modified: 31 Mar 2023)
- FPT 2021
- Readers: Everyone
A Block Minifloat Representation for Training Deep Neural Networks
Sean Fox, Seyedramin Rasoulinezhad, Julian Faraone, David Boland, Philip H. W. Leong
- 2021 (modified: 31 Mar 2023)
- ICLR 2021
- Readers: Everyone
Applications and Techniques for Fast Machine Learning in Science
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler et al. (67 additional authors not shown)
- 2021 (modified: 31 Mar 2023)
- CoRR 2021
- Readers: Everyone
NITI: Training Integer Neural Networks Using Integer-only Arithmetic
Maolin Wang, Seyedramin Rasoulinezhad, Philip H. W. Leong, Hayden Kwok-Hay So
- 2020 (modified: 12 Nov 2022)
- CoRR 2020
- Readers: Everyone

View all 15 publications

Co-Authors

View all 110 co-authors