Aristeidis Panos

According to our database, Aristeidis Panos authored at least 8 papers between 2018 and 2023.

Collaborative distances:

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

2023

First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning.

Aristeidis Panos, Yuriko Kobe, Daniel Olmeda Reino, Rahaf Aljundi, Richard E. Turner

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scalable marked point processes for exchangeable and non-exchangeable event sequences.

Aristeidis Panos, Ioannis Kosmidis, Petros Dellaportas

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

How Good Are Low-Rank Approximations in Gaussian Process Regression?

Constantinos Daskalakis, Petros Dellaportas, Aristeidis Panos

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Large scale multi-label learning using Gaussian processes.

Aristeidis Panos, Petros Dellaportas, Michalis K. Titsias

Mach. Learn., 2021

Scalable and Interpretable Marked Point Processes.

Aristeidis Panos, Ioannis Kosmidis, Petros Dellaportas

CoRR, 2021

2020

Faster Gaussian Processes via Deep Embeddings.

Constantinos Daskalakis, Petros Dellaportas, Aristeidis Panos

CoRR, 2020

2019

Extreme multi-label learning with Gaussian processes.

Aristeidis Panos

PhD thesis, 2019

2018

Fully Scalable Gaussian Processes using Subspace Inducing Inputs.

Aristeidis Panos, Petros Dellaportas, Michalis K. Titsias

CoRR, 2018