Angelos Katharopoulos

According to our database, Angelos Katharopoulos authored at least 13 papers between 2016 and 2024.

Collaborative distances:

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

2024

No Need to Talk: Asynchronous Mixture of Language Models.

Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert

CoRR, 2024

Specialized Language Models with Cheap Inference from Limited Domain Data.

David Grangier, Angelos Katharopoulos, Pierre Ablin, Awni Hannun

CoRR, 2024

2023

Controllable Music Production with Diffusion Models and Guidance Gradients.

Mark Levy, Bruno Di Giorgi, Floris Weers, Angelos Katharopoulos, Tom Nickson

CoRR, 2023

Self Supervision Does Not Help Natural Language Supervision at Scale.

Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter

CoRR, 2023

Masked Autoencoding Does Not Help Natural Language Supervision at Scale.

Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks.

Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Fast Transformers with Clustered Attention.

Apoorv Vyas, Angelos Katharopoulos, François Fleuret

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention.

Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Processing Megapixel Images with Deep Attention-Sampling Models.

Angelos Katharopoulos, François Fleuret

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Not All Samples Are Created Equal: Deep Learning with Importance Sampling.

Angelos Katharopoulos, François Fleuret

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Biased Importance Sampling for Deep Neural Network Training.

Angelos Katharopoulos, François Fleuret

CoRR, 2017

Learning local feature aggregation functions with backpropagation.

Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets.

Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016