Thomas Serre, PhD
Affiliations: | Cognitive Linguistic & Psychological Sciences | Brown University, Providence, RI |
Area:
vision, computational neuroscience, learning, object recognitionWebsite:
http://serre-lab.clps.brown.edu/Google:
"Thomas Serre"Mean distance: 13.86 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorTomaso A. Poggio | grad student | 2001-2006 | MIT |
Tomaso A. Poggio | post-doc | 2006- | MIT |
Children
Sign in to add traineeMichele Winter | research assistant | ||
Pankaj K. Gupta | research assistant | 2016-2018 | |
Vijay Veerabadran | research assistant | 2017-2018 | Brown |
Thomas Fel | grad student | Brown | |
Junkyung Kim | grad student | Brown | |
David A Mély | grad student | Brown | |
Ali Bilgin Arslan | grad student | 2009- | Brown |
Ruobing Xia | grad student | 2012- | Brown |
Sixuan Chen | grad student | 2023- | Brown |
Jules Brochard | grad student | 2013-2015 | Brown |
David Reichert | post-doc | Brown | |
Sébastien M. Crouzet | post-doc | 2010- | Brown |
Victor Boutin | post-doc | 2020-2020 | |
Jay Gopal | research scientist | Brown |
Collaborators
Sign in to add collaboratorGirik Malik | collaborator | ||
G. Rodrigo Sigala A. | collaborator | MIT-Picower Institute for Learning and Memory |
BETA: Related publications
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Publications
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Ahuja A, Rodriguez NY, Ashok AK, et al. (2024) Monkeys engage in visual simulation to solve complex problems. Biorxiv : the Preprint Server For Biology |
Fel T, Picard A, Bethune L, et al. (2023) CRAFT: Concept Recursive Activation FacTorization for Explainability. Proceedings. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2023: 2711-2721 |
Colin J, Fel T, Cadène R, et al. (2023) What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. Advances in Neural Information Processing Systems. 35: 2832-2845 |
Zerroug A, Vaishnav M, Colin J, et al. (2023) A Benchmark for Compositional Visual Reasoning. Advances in Neural Information Processing Systems. 35: 29776-29788 |
Fel T, Felipe I, Linsley D, et al. (2023) Harmonizing the object recognition strategies of deep neural networks with humans. Advances in Neural Information Processing Systems. 35: 9432-9446 |
Vaishnav M, Cadene R, Alamia A, et al. (2022) Understanding the Computational Demands Underlying Visual Reasoning. Neural Computation. 34: 1075-1099 |
Alamia A, Luo C, Ricci M, et al. (2020) Differential involvement of EEG oscillatory components in sameness vs. spatial-relation visual reasoning tasks. Eneuro |
Kreiman G, Serre T. (2020) Beyond the feedforward sweep: feedback computations in the visual cortex. Annals of the New York Academy of Sciences |
Mély DA, Linsley D, Serre T. (2018) Complementary surrounds explain diverse contextual phenomena across visual modalities. Psychological Review |
Kim J, Ricci M, Serre T. (2018) Not-So-CLEVR: learning same-different relations strains feedforward neural networks. Interface Focus. 8: 20180011 |