Giancarlo Kerg
Title
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Cited by
Year
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
G Kerg, K Goyette, MP Touzel, G Gidel, E Vorontsov, Y Bengio, G Lajoie
arXiv preprint arXiv:1905.12080, 2019
312019
h-detach: Modifying the LSTM gradient towards better optimization
B Kanuparthi, D Arpit, G Kerg, NR Ke, I Mitliagkas, Y Bengio
International Conference on Learning Representations, 2018
22*2018
Safe screening for support vector machines
J Zimmert, CS de Witt, G Kerg, M Kloft
NIPS 2015 Workshop on Optimization in Machine Learning (OPT), 2015
152015
Catastrophic fisher explosion: Early phase fisher matrix impacts generalization
S Jastrzebski, D Arpit, O Astrand, GB Kerg, H Wang, C Xiong, R Socher, ...
International Conference on Machine Learning, 4772-4784, 2021
62021
Untangling tradeoffs between recurrence and self-attention in artificial neural networks
G Kerg, B Kanuparthi, AG ALIAS PARTH GOYAL, K Goyette, Y Bengio, ...
Advances in Neural Information Processing Systems 33, 2020
6*2020
Advantages of biologically-inspired adaptive neural activation in RNNs during learning
V Geadah, G Kerg, S Horoi, G Wolf, G Lajoie
arXiv preprint arXiv:2006.12253, 2020
2020
Learning Long-term Dependencies Using Cognitive Inductive Biases in Self-attention RNNs
G Kerg, B Kanuparthi, A Goyal, K Goyette, Y Bengio, G Lajoie
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Articles 1–7