Giancarlo Kerg
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Non-normal recurrent neural network (nnrnn): learning long time dependencies while improving expressivity with transient dynamics
G Kerg, K Goyette, M Puelma Touzel, G Gidel, E Vorontsov, Y Bengio, ...
Advances in neural information processing systems 32, 2019
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
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
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, 19443-19454, 2020
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
On neural architecture inductive biases for relational tasks
G Kerg, S Mittal, D Rolnick, Y Bengio, B Richards, G Lajoie
arXiv preprint arXiv:2206.05056, 2022
Continuous-time meta-learning with forward mode differentiation
T Deleu, D Kanaa, L Feng, G Kerg, Y Bengio, G Lajoie, PL Bacon
arXiv preprint arXiv:2203.01443, 2022
Goal-driven optimization of single-neuron properties in artificial networks reveals regularization role of neural diversity and adaptation
V Geadah, S Horoi, G Kerg, G Wolf, G Lajoie
bioRxiv, 2022.04. 29.489963, 2022
Inductive biases for relational tasks
G Kerg, S Mittal, D Rolnick, Y Bengio, BA Richards, G Lajoie
ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022
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
Inductive biases for efficient information transfer in artificial networks
G Kerg
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 1–12