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Aristeidis Panos
Aristeidis Panos
University of Cambridge
在 cam.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Measures of neural similarity
S Bobadilla-Suarez, C Ahlheim, A Mehrotra, A Panos, BC Love
Computational brain & behavior 3, 369-383, 2020
532020
First session adaptation: A strong replay-free baseline for class-incremental learning
A Panos, Y Kobe, DO Reino, R Aljundi, RE Turner
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
202023
Fully scalable gaussian processes using subspace inducing inputs
A Panos, P Dellaportas, MK Titsias
arXiv preprint arXiv:1807.02537, 2018
162018
Large scale multi-label learning using gaussian processes
A Panos, P Dellaportas, MK Titsias
Machine Learning 110 (5), 965-987, 2021
92021
Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences
A Panos, I Kosmidis, P Dellaportas
Proceedings of the 26th International Conference on Artificial Intelligence …, 2023
72023
How good are low-rank approximations in Gaussian process regression?
C Daskalakis, P Dellaportas, A Panos
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6463-6470, 2022
32022
Scalable Gaussian processes, with guarantees: Kernel approximations and deep feature extraction
C Daskalakis, P Dellaportas, A Panos
ArXiv, 2020
32020
Faster Gaussian processes via deep embeddings
C Daskalakis, P Dellaportas, A Panos
CoRR, 2020
22020
Scalable and interpretable marked point processes
A Panos, I Kosmidis, P Dellaportas
arXiv preprint arXiv:2105.14574, 2021
12021
Extreme multi-label learning with Gaussian processes
A Panos
UCL (University College London), 2019
12019
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models
A Panos, R Aljundi, DO Reino, RE Turner
arXiv preprint arXiv:2407.16526, 2024
2024
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