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Eva L Dyer

Showing results (1-10 of 30) with videos related to

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Current Opinion in Neurobiology|March 18, 2019
Generative models and abstractions for large-scale neuroanatomy datasetsDavid Rolnick, Eva L Dyer
Proceedings of the National Academy of Sciences of the United States of America|December 20, 2023
Why the simplest explanation isn't always the bestEva L Dyer, Konrad Kording
Proceedings of Machine Learning Research|September 21, 2021
Making transport more robust and interpretable by moving data through a small number of anchor pointsChi-Heng Lin, Mehdi Azabou, Eva L Dyer
Nature Biomedical Engineering|November 28, 2022
Aligning latent representations of neural activityMax Dabagia, Konrad P Kording, Eva L Dyer
Advances in Neural Information Processing Systems|June 13, 2023
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformersRan Liu, Mehdi Azabou, Max Dabagia, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 24, 2017
RankMap: A Framework for Distributed Learning From Dense Data SetsAzalia Mirhoseini, Eva L Dyer, Ebrahim M Songhori, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Approximating Cellular Densities from High-Resolution Neuroanatomical Imaging DataTheodore J LaGrow, Michael G Moore, Judy A Prasad, et al.
International IEEE/EMBS Conference on Neural Engineering : [Proceedings]. International IEEE EMBS Conference on Neural Engineering|October 9, 2023
Detecting change points in neural population activity with contrastive metric learningCarolina Urzay, Nauman Ahad, Mehdi Azabou, et al.
Journal of Virological Methods|October 24, 2023
Label-free imaging of nuclear membrane for analysis of nuclear import of viral complexesAndrew Ten Eyck, Yen-Cheng Chen, Levi Gifford, et al.
Scientific Reports|February 9, 2018
Low-dose x-ray tomography through a deep convolutional neural networkXiaogang Yang, Vincent De Andrade, William Scullin, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Current Opinion in Neurobiology|March 18, 2019
Generative models and abstractions for large-scale neuroanatomy datasetsDavid Rolnick, Eva L Dyer
Proceedings of the National Academy of Sciences of the United States of America|December 20, 2023
Why the simplest explanation isn't always the bestEva L Dyer, Konrad Kording
Proceedings of Machine Learning Research|September 21, 2021
Making transport more robust and interpretable by moving data through a small number of anchor pointsChi-Heng Lin, Mehdi Azabou, Eva L Dyer
Nature Biomedical Engineering|November 28, 2022
Aligning latent representations of neural activityMax Dabagia, Konrad P Kording, Eva L Dyer
Advances in Neural Information Processing Systems|June 13, 2023
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformersRan Liu, Mehdi Azabou, Max Dabagia, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 24, 2017
RankMap: A Framework for Distributed Learning From Dense Data SetsAzalia Mirhoseini, Eva L Dyer, Ebrahim M Songhori, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Approximating Cellular Densities from High-Resolution Neuroanatomical Imaging DataTheodore J LaGrow, Michael G Moore, Judy A Prasad, et al.
International IEEE/EMBS Conference on Neural Engineering : [Proceedings]. International IEEE EMBS Conference on Neural Engineering|October 9, 2023
Detecting change points in neural population activity with contrastive metric learningCarolina Urzay, Nauman Ahad, Mehdi Azabou, et al.
Journal of Virological Methods|October 24, 2023
Label-free imaging of nuclear membrane for analysis of nuclear import of viral complexesAndrew Ten Eyck, Yen-Cheng Chen, Levi Gifford, et al.
Scientific Reports|February 9, 2018
Low-dose x-ray tomography through a deep convolutional neural networkXiaogang Yang, Vincent De Andrade, William Scullin, et al.
Pageof 3