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2020 – today
- 2025
[i4]Henrique Schechter Vera, Sahil Dua, Biao Zhang, Daniel Salz, Ryan Mullins, Sindhu Raghuram Panyam, Sara Smoot, Iftekhar Naim, Joe Zou, Feiyang Chen, Daniel Cer, Alice Lisak, Min Choi, Lucas Gonzalez, Omar Sanseviero, Glenn Cameron, Ian Ballantyne, Kat Black, Kaifeng Chen, Weiyi Wang, Zhe Li, Gus Martins, Jinhyuk Lee, Mark Sherwood, Ju-yeong Ji, Renjie Wu, Jingxiao Zheng, Jyotinder Singh, Abheesht Sharma, Divyashree Sreepathihalli, Aashi Jain, Adham Elarabawy, AJ Co, Andreas Doumanoglou, Babak Samari, Ben Hora, Brian Potetz, Dahun Kim, Enrique Alfonseca, Fedor Moiseev, Feng Han, Frank Palma Gomez, Gustavo Hernández Ábrego, Hesen Zhang, Hui Hui, Jay Han, Karan Gill, Ke Chen, Koert Chen, Madhuri Shanbhogue, Michael Boratko, Paul Suganthan, Sai Meher Karthik Duddu, Sandeep Mariserla, Setareh Ariafar, Shanfeng Zhang, Shijie Zhang, Simon Baumgartner, Sonam Goenka, Steve Qiu, Tanmaya Dabral, Trevor Walker, Vikram Rao, Waleed Khawaja, Wenlei Zhou, Xiaoqi Ren, Ye Xia, Yichang Chen, Yi-Ting Chen, Zhe Dong, Zhongli Ding, Francesco Visin, Gaël Liu, Jiageng Zhang, Kathleen Kenealy, Michelle Casbon, Ravin Kumar, Thomas Mesnard, Zach Gleicher, Cormac Brick, Olivier Lacombe, Adam Roberts, Qin Yin, Yun-Hsuan Sung, Raphael Hoffmann, Tris Warkentin, Armand Joulin, Tom Duerig, Mojtaba Seyedhosseini:
EmbeddingGemma: Powerful and Lightweight Text Representations. CoRR abs/2509.20354 (2025)- 2024
- [p1]Arnab Raha, Raymond Sung, Soumendu Ghosh, Praveen Kumar Gupta, Deepak A. Mathaikutty, Umer I. Cheema, Kevin Hyland, Cormac Brick, Vijay Raghunathan
:
Efficient Hardware Acceleration of Emerging Neural Networks for Embedded Machine Learning: An Industry Perspective. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures 2024: 121-172 - 2021
- [c3]Arnab Raha, Soumendu Ghosh, Debabrata Mohapatra, Deepak A. Mathaikutty, Raymond Sung, Cormac Brick, Vijay Raghunathan:
Special Session: Approximate TinyML Systems: Full System Approximations for Extreme Energy-Efficiency in Intelligent Edge Devices. ICCD 2021: 13-16 - [c2]Arnab Raha, Sang Kyun Kim, Deepak Mathaikutty, Guruguhanathan Venkataramanan, Debabrata Mohapatra, Raymond Sung, Cormac Brick, Gautham N. Chinya:
Design Considerations for Edge Neural Network Accelerators: An Industry Perspective. VLSID 2021: 328-333 - 2020
- [i3]Luca Puglia, Cormac Brick:
Deep Learning Stereo Vision at the edge. CoRR abs/2001.04552 (2020)
2010 – 2019
- 2018
- [i2]Xiaofan Xu, Mi Sun Park, Cormac Brick:
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices. CoRR abs/1811.00482 (2018) - [i1]Mi Sun Park, Xiaofan Xu, Cormac Brick:
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks. CoRR abs/1812.08301 (2018) - 2015
- [j1]Brendan Barry, Cormac Brick, Fergal Connor, David Donohoe, David Moloney, Richard Richmond, Martin J. O'Riordan, Vasile Toma:
Always-on Vision Processing Unit for Mobile Applications. IEEE Micro 35(2): 56-66 (2015) - 2014
- [c1]David Moloney, Brendan Barry, Richard Richmond, Fergal Connor, Cormac Brick, David Donohoe:
Myriad 2: Eye of the computational vision storm. Hot Chips Symposium 2014: 1-18
Coauthor Index
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