Chenjie Gu
Cited by
Cited by
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Graph matching networks for learning the similarity of graph structured objects
Y Li, C Gu, T Dullien, O Vinyals, P Kohli
International conference on machine learning, 3835-3845, 2019
DDSP: Differentiable digital signal processing
J Engel, L Hantrakul, C Gu, A Roberts
arXiv preprint arXiv:2001.04643, 2020
QLMOR: A projection-based nonlinear model order reduction approach using quadratic-linear representation of nonlinear systems
C Gu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2011
Bayesian model fusion: large-scale performance modeling of analog and mixed-signal circuits by reusing early-stage data
F Wang, W Zhang, S Sun, X Li, C Gu
Proceedings of the 50th Annual Design Automation Conference, 1-6, 2013
Reinforced self-training (rest) for language modeling
C Gulcehre, TL Paine, S Srinivasan, K Konyushkova, L Weerts, A Sharma, ...
arXiv preprint arXiv:2308.08998, 2023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
A generalized framework for population based training
A Li, O Spyra, S Perel, V Dalibard, M Jaderberg, C Gu, D Budden, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Model order reduction of nonlinear dynamical systems
C Gu
University of California, Berkeley, 2011
Model reduction via projection onto nonlinear manifolds, with applications to analog circuits and biochemical systems
C Gu, J Roychowdhury
2008 IEEE/ACM International Conference on Computer-Aided Design, 85-92, 2008
An efficient, fully nonlinear, variability-aware non-Monte-Carlo yield estimation procedure with applications to SRAM cells and ring oscillators
C Gu, J Roychowdhury
2008 Asia and South Pacific Design Automation Conference, 754-761, 2008
Efficient parametric yield estimation of analog/mixed-signal circuits via Bayesian model fusion
X Li, W Zhang, F Wang, S Sun, C Gu
Proceedings of the International Conference on Computer-Aided Design, 627-634, 2012
Extreme Statistics in Nanoscale Memory Design
A Singhee, RA Rutenbar
Springer Verlag, 2010
QLMOR: A new projection-based approach for nonlinear model order reduction
C Gu
Proceedings of the 2009 International Conference on Computer-Aided Design …, 2009
Muzero with self-competition for rate control in vp9 video compression
A Mandhane, A Zhernov, M Rauh, C Gu, M Wang, F Xue, W Shang, ...
arXiv preprint arXiv:2202.06626, 2022
Bayesian model fusion: a statistical framework for efficient pre-silicon validation and post-silicon tuning of complex analog and mixed-signal circuits
X Li, F Wang, S Sun, C Gu
2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 795-802, 2013
Fast and Flexible Neural Audio Synthesis.
L Hantrakul, JH Engel, A Roberts, C Gu
Ismir, 524-530, 2019
Efficient moment estimation with extremely small sample size via bayesian inference for analog/mixed-signal validation
C Gu, E Chiprout, X Li
Proceedings of the 50th Annual Design Automation Conference, 1-7, 2013
Challenges in post-silicon validation of high-speed I/O links
C Gu
Proceedings of the International Conference on Computer-Aided Design, 547-550, 2012
Efficient bit error rate estimation for high-speed link by Bayesian model fusion
C Fang, Q Huang, F Yang, X Zeng, X Li, C Gu
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2015
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