1 code implementation • 17 Apr 2024 • Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zheng-Jun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien Crouzet, Douglas McLelland, Oliver Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lică, David Dinucu-Jianu, Cătălin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai
This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge.
1 code implementation • 13 Apr 2024 • Yan Ru Pei, Sasskia Brüers, Sébastien Crouzet, Douglas McLelland, Olivier Coenen
Event-based data are commonly encountered in edge computing environments where efficiency and low latency are critical.
no code implementations • 15 Jan 2020 • Haik Manukian, Yan Ru Pei, Sean R. B. Bearden, Massimiliano Di Ventra
Restricted Boltzmann machines (RBMs) are a powerful class of generative models, but their training requires computing a gradient that, unlike supervised backpropagation on typical loss functions, is notoriously difficult even to approximate.
1 code implementation • 14 May 2019 • Yan Ru Pei, Haik Manukian, Massimiliano Di Ventra
Many optimization problems can be cast into the maximum satisfiability (MAX-SAT) form, and many solvers have been developed for tackling such problems.
no code implementations • 23 Dec 2017 • Yan Ru Pei, Fabio L. Traversa, Massimiliano Di Ventra
We show that UMMs can simulate both types of machines, hence they are both "liquid-" or "reservoir-complete" and "quantum-complete".