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Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.

S. Mittal, A. Lamb, A. Goyal, V. Voleti, M. Shanahan, G. Lajoie, M. Mozer, and Y. Bengio. ICML, volume 119 of Proceedings of Machine Learning Research, page 6972-6986. PMLR, (2020)

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Guillaume Pierre

Guillaume Klein

Guillaume Schurgers

Guillaume Weick

Guillaume Jacques

Other publications of authors with the same name

Amortizing intractable inference in large language models.E. Hu, M. Jain, E. Elmoznino, Y. Kaddar, G. Lajoie, Y. Bengio, and N. Malkin. CoRR, (2023)Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance.A. Tong, G. Huguet, D. Shung, A. Natik, M. Kuchroo, G. Lajoie, G. Wolf, and S. Krishnaswamy. CoRR, (2021)Discrete, compositional, and symbolic representations through attractor dynamics.A. Nam, E. Elmoznino, N. Malkin, C. Sun, Y. Bengio, and G. Lajoie. CoRR, (2023)Multi-scale Feature Learning Dynamics: Insights for Double Descent.M. Pezeshki, A. Mitra, Y. Bengio, and G. Lajoie. ICML, volume 162 of Proceedings of Machine Learning Research, page 17669-17690. PMLR, (2022)Exploring the Geometry and Topology of Neural Network Loss Landscapes.S. Horoi, J. Huang, B. Rieck, G. Lajoie, G. Wolf, and S. Krishnaswamy. IDA, volume 13205 of Lecture Notes in Computer Science, page 171-184. Springer, (2022)Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks.P. Vincent-Lamarre, G. Lajoie, and J. Thivierge. J. Comput. Neurosci., 41 (3): 305-322 (2016)Efficient and robust multi-task learning in the brain with modular task primitives.C. Marton, G. Lajoie, and K. Rajan. CoRR, (2021)Learning function from structure in neuromorphic networks.L. Suárez, B. Richards, G. Lajoie, and B. Misic. Nat. Mach. Intell., 3 (9): 771-786 (2021)Sources of Richness and Ineffability for Phenomenally Conscious States.X. Ji, E. Elmoznino, G. Deane, A. Constant, G. Dumas, G. Lajoie, J. Simon, and Y. Bengio. CoRR, (2023)How connectivity structure shapes rich and lazy learning in neural circuits.Y. Liu, A. Baratin, J. Cornford, S. Mihalas, E. Shea-Brown, and G. Lajoie. CoRR, (2023)

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Disambiguation of "Lajoie, Guillaume"

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Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.

Please choose a person to relate this publication to

Guillaume Pierre

Guillaume Klein

Guillaume Schurgers

Guillaume Weick

Guillaume Jacques

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lajoie, Guillaume"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.

Please choose a person to relate this publication to

Guillaume Pierre

Guillaume Klein

Guillaume Schurgers

Guillaume Weick

Guillaume Jacques

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.