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Fangda Gu
Fangda Gu
PhD Student, UC Berkeley
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
Implicit deep learning
L El Ghaoui, F Gu, B Travacca, A Askari, A Tsai
SIAM Journal on Mathematics of Data Science 3 (3), 930-958, 2021
1592021
Implicit Graph Neural Networks
F Gu, H Chang, W Zhu, S Sojoudi, L El Ghaoui
Advances in Neural Information Processing Systems 33, 2020
1392020
Fenchel lifted networks: A lagrange relaxation of neural network training
F Gu, A Askari, L El Ghaoui
International Conference on Artificial Intelligence and Statistics, 3362-3371, 2020
402020
Context-aware policy reuse
S Li, F Gu, G Zhu, C Zhang
arXiv preprint arXiv:1806.03793, 2018
352018
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
F Gu, H Yin, L El Ghaoui, M Arcak, P Seiler, M Jin
arXiv preprint arXiv:2109.03861, 2021
192021
Synthesis of stabilizing recurrent equilibrium network controllers
N Junnarkar, H Yin, F Gu, M Arcak, P Seiler
2022 IEEE 61st Conference on Decision and Control (CDC), 7449-7454, 2022
132022
Single-pixel reconstructive mid-infrared micro-spectrometer
K Dong, J Li, T Zhang, F Gu, Y Cai, N Gupta, K Tang, A Javey, J Yao, J Wu
Optics Express 31 (9), 14367-14376, 2023
12023
Single-pixel reconstructive mid-infrared micro-spectrometer
F GU, Y CAI, N GUPTA, K TANG, ALI JAVEY, JIE YAO, J WU
Opt, 2023
12023
Grid Topology Estimation in Electrical Markets via Diagonally Dominant Laplacian
F Gu, L El Ghaoui, G Darmet
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 1-5, 2021
2021
Implicit Models: Theories and Applications
F Gu
University of California, Berkeley, 2021
2021
Implicit Structures for Graph Neural Networks
F Gu
2020
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Articles 1–11