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Angelos Katharopoulos
Angelos Katharopoulos
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Title
Cited by
Cited by
Year
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
A Katharopoulos, A Vyas, N Pappas, F Fleuret
International Conference on Machine Learning (ICML), 2020
10272020
Not all samples are created equal: Deep learning with importance sampling
A Katharopoulos, F Fleuret
International Conference on Machine Learning (ICML), 2018
4782018
Fast transformers with clustered attention
A Vyas, A Katharopoulos, F Fleuret
Neural Information Processing Systems (NeurIPS), 2020
1342020
Biased importance sampling for deep neural network training
A Katharopoulos, F Fleuret
arXiv preprint arXiv:1706.00043, 2017
832017
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
D Paschalidou, A Katharopoulos, A Geiger, S Fidler
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021, 2021
822021
Processing megapixel images with deep attention-sampling models
A Katharopoulos, F Fleuret
International Conference on Machine Learning (ICML), 2019
652019
Fast supervised lda for discovering micro-events in large-scale video datasets
A Katharopoulos, D Paschalidou, C Diou, A Delopoulos
Proceedings of the 24th ACM international conference on Multimedia, 332-336, 2016
62016
Masked Autoencoding Does Not Help Natural Language Supervision at Scale
F Weers, V Shankar, A Katharopoulos, Y Yang, T Gunter
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
5*2023
Controllable Music Production with Diffusion Models and Guidance Gradients
M Levy, B Di Giorgi, F Weers, A Katharopoulos, T Nickson
arXiv preprint arXiv:2311.00613, 2023
12023
Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models
A Katharopoulos
EPFL, 2022
12022
Learning local feature aggregation functions with backpropagation
A Katharopoulos, D Paschalidou, C Diou, A Delopoulos
2017 25th European Signal Processing Conference (EUSIPCO), 748-752, 2017
12017
Specialized Language Models with Cheap Inference from Limited Domain Data
D Grangier, A Katharopoulos, P Ablin, A Hannun
arXiv preprint arXiv:2402.01093, 2024
2024
Processing Megapixel Images with Deep Attention-Sampling Models, Katharopoulos, Angelos and Fleuret, Francois, Idiap-RR-07-2019
A Katharopoulos
2019
Formal Name (English) L'IDIAP Laboratory
C Atanasoaei, SO Ba, S Bengio, JI Biel Tres, R Boghetti, H Bourlard, ...
Supplementary Material for Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks.
D Paschalidou, A Katharopoulos, A Geiger, S Fidler
Not All Samples Are Created Equal Supplementary material
A Katharopoulos, F Fleuret
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