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Ben Lonnqvist
Ben Lonnqvist
PhD Candidate, EPFL, Switzerland
Verified email at epfl.ch - Homepage
Title
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Cited by
Year
A comparative biology approach to DNN modeling of vision: A focus on differences, not similarities
B Lonnqvist, A Bornet, A Doerig, MH Herzog
Journal of vision 21 (10), 17-17, 2021
162021
Crowding in humans is unlike that in convolutional neural networks
B Lonnqvist, ADF Clarke, R Chakravarthi
Neural Networks 126, 262-274, 2020
122020
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
B Lonnqvist, Z Wu, MH Herzog
International Conference on Machine Learning (ICML 2024), 2024
22024
Modeling individual variation in visual search with reinforcement learning
B Lonnqvist, M Elsner, AR Hunt, A Clarke
PsyArXiv, 2020
22020
Categorical object properties outweigh local visual information in object recognition
E Scialom, Z Merchant, UA Ernst, D Rotermund, B Lonnqvist, MH Herzog
Journal of Vision 24 (10), 486-486, 2024
2024
Current DNNs are Unable to Integrate Visual Information Across Object Discontinuities
B Lonnqvist, E Scialom, Z Merchant, MH Herzog, M Schrimpf
Cognitive Computational Neuroscience (CCN 2024), 2024
2024
A comment on Guo et al. (2022)
B Lonnqvist, H Machiraju, MH Herzog
arXiv preprint arXiv:2208.01456, 2022
2022
Global information processing in feedforward deep networks
B Lonnqvist, A Bornet, A Doerig, L Schmittwilken, MH Herzog
Oral at the 22nd Annual Meeting of the Vision Sciences Society (VSS 2022), 2022
2022
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