My name is Miltiadis (Miltos) Kofinas, and I am a PhD student in the Video & Image Sense Lab at the University of Amsterdam, supervised by Efstratios Gavves. My research focuses on future spatio-temporal forecasting, with applications on forecasting for autonomous vehicles. My research interests include graph neural networks, neural fields, and geometric deep learning.
Prior to my PhD, I received a Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki. For my Diploma thesis, I researched the topic of Scene Graph Generation using Graph Neural Networks, supervised by Christos Diou and Anastasios Delopoulos. During my studies, I was a computer vision & machine learning engineer at P.A.N.D.O.R.A. Robotics.
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 ICLR 2024 (Oral) Paper: https://arxiv.org/abs/2403.12143 Source code: https://github.com/mkofinas/neural-graphs
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 CVPR 2024 Paper: https://arxiv.org/abs/2312.10531 Source code: https://github.com/samuelepapa/fit-a-nef
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields Miltiadis Kofinas, Erik J Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves NeurIPS 2023 Paper: https://arxiv.org/abs/2310.20679 Source code: https://github.com/mkofinas/aether
Graph Switching Dynamical Systems Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves ICML 2023 Paper: https://arxiv.org/abs/2306.00370 Source code: https://github.com/yongtuoliu/Graph-Switching-Dynamical-Systems
Roto-translated Local Coordinate Frames for Interacting Dynamical Systems Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves NeurIPS 2021 Paper: https://arxiv.org/abs/2110.14961 Source code: https://github.com/mkofinas/locs