Publications

Miltiadis Kofinas*, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang* (2024). Graph Neural Networks for Learning Equivariant Representations of Neural Networks. In ICLR, 2024*.

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Samuele Papa, Riccardo Valperga, David M Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves (2023). How to Train Neural Field Representations: A Comprehensive Study and Benchmark. In CVPR 2024.

Cite Code Project arXiv Neural Field Arena Zenodo

Aviv Shamsian*, David W․ Zhang*, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron (2023). Data Augmentations in Deep Weight Spaces. In NeurReps Workshop, NeurIPS 2023*.

Cite Poster arXiv

Miltiadis Kofinas, Erik J Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves (2023). Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. In NeurIPS 2023*.

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David W. Zhang*, Miltiadis Kofinas, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Cees G. M. Snoek (2023). Neural Networks Are Graphs! Graph Neural Networks for Equivariant Processing of Neural Networks. In TAG-ML, ICML, 2023*.

Cite Poster OpenReview

Samuele Papa, David M Knigge, Riccardo Valperga, Nikita Moriakov, Miltiadis Kofinas, Jan-Jakob Sonke, Efstratios Gavves (2023). Neural Modulation Fields for Conditional Cone Beam Neural Tomography. In SynS & ML, ICML, 2023.

Cite Poster arXiv

Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves (2023). Graph Switching Dynamical Systems. In ICML 2023.

Cite Code arXiv

Piyush Bagad*, Floor Eijkelboom*, Mark Fokkema*, Danilo de Goede*, Paul Hilders*, Miltiadis Kofinas (2022). C-3PO: Towards Rotation Equivariant Feature Detection and Description. In VIPrior Workshop, ECCV 2022.

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Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves (2021). Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. In NeurIPS 2021*.

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