Miltiadis Kofinas

According to our database, Miltiadis Kofinas authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Graph Neural Networks for Learning Equivariant Representations of Neural Networks.

Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang

CoRR, 2024

2023

How to Train Neural Field Representations: A Comprehensive Study and Benchmark.

Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves

CoRR, 2023

Data Augmentations in Deep Weight Spaces.

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

CoRR, 2023

Latent Field Discovery in Interacting Dynamical Systems with Neural Fields.

Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Switching Dynamical Systems.

Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves

Proceedings of the International Conference on Machine Learning, 2023

2022

C-3PO: Towards Rotation Equivariant Feature Detection and Description.

Piyush Bagad, Floor Eijkelboom, Mark Fokkema, Danilo de Goede, Paul Hilders, Miltiadis Kofinas

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems.

Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021