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Ivan Dokmanić

Showing results (1-10 of 5) with videos related to

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Physical Review Letters|July 31, 2025
Spring-Block Theory of Feature Learning in Deep Neural NetworksCheng Shi, Liming Pan, Ivan Dokmanić
Acta Crystallographica. Section D, Biological Crystallography|March 8, 2008
Metals in proteins: correlation between the metal-ion type, coordination number and the amino-acid residues involved in the coordinationIvan Dokmanić, Mile Sikić, Sanja Tomić
Proceedings of the National Academy of Sciences of the United States of America|February 12, 2024
Homophily modulates double descent generalization in graph convolution networksCheng Shi, Liming Pan, Hong Hu, et al.
Acta Crystallographica. Section D, Structural Biology|March 27, 2026
ICECREAM: high-fidelity equivariant cryo-electron tomographyVinith Kishore, Valentin Debarnot, Ricardo D Righetto, et al.
Nature Communications|June 30, 2026
High-rate phase association with travel time neural fieldsCheng Shi, Giulio Poggiali, Chris Marone, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Physical Review Letters|July 31, 2025
Spring-Block Theory of Feature Learning in Deep Neural NetworksCheng Shi, Liming Pan, Ivan Dokmanić
Acta Crystallographica. Section D, Biological Crystallography|March 8, 2008
Metals in proteins: correlation between the metal-ion type, coordination number and the amino-acid residues involved in the coordinationIvan Dokmanić, Mile Sikić, Sanja Tomić
Proceedings of the National Academy of Sciences of the United States of America|February 12, 2024
Homophily modulates double descent generalization in graph convolution networksCheng Shi, Liming Pan, Hong Hu, et al.
Acta Crystallographica. Section D, Structural Biology|March 27, 2026
ICECREAM: high-fidelity equivariant cryo-electron tomographyVinith Kishore, Valentin Debarnot, Ricardo D Righetto, et al.
Nature Communications|June 30, 2026
High-rate phase association with travel time neural fieldsCheng Shi, Giulio Poggiali, Chris Marone, et al.
Pageof 1