Angelos Katharopoulos

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Neural Network Training

Diffusion Model

Top Venues

Publications

David Grangier, Angelos Katharopoulos, Pierre Ablin, Awni Hannun
Specialized Language Models with Cheap Inference from Limited Domain Data. CoRR (2024)
Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter
Masked Autoencoding Does Not Help Natural Language Supervision at Scale. CVPR (2023)
Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter
Self Supervision Does Not Help Natural Language Supervision at Scale. CoRR (2023)
Mark Levy, Bruno Di Giorgi, Floris Weers, Angelos Katharopoulos, Tom Nickson
Controllable Music Production with Diffusion Models and Guidance Gradients. CoRR (2023)
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks. CoRR (2021)
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler
Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks. CVPR (2021)
Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. CoRR (2020)
Apoorv Vyas, Angelos Katharopoulos, François Fleuret
Fast Transformers with Clustered Attention. NeurIPS (2020)
Apoorv Vyas, Angelos Katharopoulos, François Fleuret
Fast Transformers with Clustered Attention. CoRR (2020)
Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. ICML (2020)
Angelos Katharopoulos, François Fleuret
Processing Megapixel Images with Deep Attention-Sampling Models. CoRR (2019)
Angelos Katharopoulos, François Fleuret
Processing Megapixel Images with Deep Attention-Sampling Models. ICML (2019)
Angelos Katharopoulos, François Fleuret
Not All Samples Are Created Equal: Deep Learning with Importance Sampling. ICML (2018)
Angelos Katharopoulos, François Fleuret
Not All Samples Are Created Equal: Deep Learning with Importance Sampling. CoRR (2018)
Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos
Learning local feature aggregation functions with backpropagation. EUSIPCO (2017)
Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos
Learning Local Feature Aggregation Functions with Backpropagation. CoRR (2017)
Angelos Katharopoulos, François Fleuret
Biased Importance Sampling for Deep Neural Network Training. CoRR (2017)
Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos
Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets. ACM Multimedia (2016)