Guillaume Lajoie - Concepedia

Author

Guillaume Lajoie

Université de Montréal ORCID

Also Known As

Guillaume Lajoie, Guillaume eLajoie, Lajoie, Guillaume, Sridhar, Dhanya, Zhang, Dinghuai

154

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

Université de Montréal Mila - Quebec Artificial Intelligence Institute University of Washington University of Washington Applied Physics Laboratory Montreal Neurological Institute and Hospital

About

Guillaume Lajoie is an author at Université de Montréal specializing in machine learning, engineering, and social sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	296
2	Social Sciences	9	9	286
3	Medicine	3	3	74
4	Health Sciences	1	1	28
5	Natural Sciences	1	1	32

Guillaume Lajoie

Publications

825

Citations

H-Index

Page 1

	Year	Citations
Learning function from structure in neuromorphic networks Laura E. Suárez, Blake A. Richards, Guillaume Lajoie, Nature Machine Intelligence Computational NeuroscienceNeuromorphic NetworksNeuronal NetworkNeuroscienceBrain-like Computing	2021	113
Predictive learning as a network mechanism for extracting low-dimensional latent space representations Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Nature Communications	2021	77
Chaos and reliability in balanced spiking networks with temporal drive Guillaume Lajoie, Kevin Lin, Eric Shea‐Brown Physical Review E	2013	46
Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion Matthew Farrell, Stefano Recanatesi, Timothy C. Moore, Nature Machine Intelligence Artificial IntelligenceSequence ModellingEngineeringMachine LearningSparse Neural Network	2022	45
Dimensionality compression and expansion in Deep Neural Networks Stefano Recanatesi, Matthew Farrell, Madhu Advani, arXiv (Cornell University) Geometric LearningEngineeringMachine LearningAutoencodersImage Analysis	2019	42
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio, arXiv (Cornell University) Artificial IntelligenceNeural Scaling LawGradient DescentEngineeringMachine Learning	2020	42
Connectome-based reservoir computing with the conn2res toolbox Laura E. Suárez, Ágoston Mihalik, Filip Milisav, Nature Communications	2024	35
Multi-view manifold learning of human brain-state trajectories Erica L. Busch, Jessie Huang, Andrew Benz, Nature Computational Science Cognitive ScienceMachine VisionMachine LearningEngineeringManifold Learning	2023	34
Autonomous optimization of neuroprosthetic stimulation parameters that drive the motor cortex and spinal cord outputs in rats and monkeys Marco Bonizzato, Rose Guay Hottin, Sandrine L. Côté, Cell Reports Medicine	2023	34
A connectomics-based taxonomy of mammals Laura E. Suárez, Yossi Yovel, Martijn P. van den Heuvel, eLife Mammalian TaxonomiesAnimal TaxonomyUnified Mri ProtocolBrain MappingBrain Organization	2022	32

Page 1