Angelos Katharopoulos

25 papers A* 9Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimal Splitting of Language Models from Mixtures to Specialized Domains. CoRR Skyler Seto, Pierre Ablin, Anastasiia Filippova, Jiayuan Ye, Louis Béthune, Angelos Katharopoulos, David Grangier
2025	J	`jnl`	Compute-Optimal Quantization-Aware Training. CoRR Aleksandr Dremov, David Grangier, Angelos Katharopoulos, Awni Hannun
2025	A*	`conf`	No Need to Talk: Asynchronous Mixture of Language Models. ICLR Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert
2025	J	`jnl`	Partial Parameter Updates for Efficient Distributed Training. CoRR Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert
2025	A*	`conf`	Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging. ICML Pierre Ablin, Angelos Katharopoulos, Skyler Seto, David Grangier
2025	J	`jnl`	Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging. CoRR Pierre Ablin, Angelos Katharopoulos, Skyler Seto, David Grangier
2024	J	`jnl`	No Need to Talk: Asynchronous Mixture of Language Models. CoRR Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert
2024	J	`jnl`	Specialized Language Models with Cheap Inference from Limited Domain Data. CoRR David Grangier, Angelos Katharopoulos, Pierre Ablin, Awni Hannun
2023	J	`jnl`	Controllable Music Production with Diffusion Models and Guidance Gradients. CoRR Mark Levy, Bruno Di Giorgi, Floris Weers, Angelos Katharopoulos, Tom Nickson
2023	A*	`conf`	Masked Autoencoding Does Not Help Natural Language Supervision at Scale. CVPR Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter
2023	J	`jnl`	Self Supervision Does Not Help Natural Language Supervision at Scale. CoRR Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter
2021	A*	`conf`	Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks. CVPR Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler
2021	J	`jnl`	Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks. CoRR Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler
2020	A*	`conf`	Fast Transformers with Clustered Attention. NeurIPS Apoorv Vyas, Angelos Katharopoulos, François Fleuret
2020	J	`jnl`	Fast Transformers with Clustered Attention. CoRR Apoorv Vyas, Angelos Katharopoulos, François Fleuret
2020	A*	`conf`	Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. ICML Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret
2020	J	`jnl`	Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. CoRR Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret
2019	A*	`conf`	Processing Megapixel Images with Deep Attention-Sampling Models. ICML Angelos Katharopoulos, François Fleuret
2019	J	`jnl`	Processing Megapixel Images with Deep Attention-Sampling Models. CoRR Angelos Katharopoulos, François Fleuret
2018	A*	`conf`	Not All Samples Are Created Equal: Deep Learning with Importance Sampling. ICML Angelos Katharopoulos, François Fleuret
2018	J	`jnl`	Not All Samples Are Created Equal: Deep Learning with Importance Sampling. CoRR Angelos Katharopoulos, François Fleuret
2017	J	`jnl`	Biased Importance Sampling for Deep Neural Network Training. CoRR Angelos Katharopoulos, François Fleuret
2017	J	`jnl`	Learning Local Feature Aggregation Functions with Backpropagation. CoRR Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos
2017	—	`conf`	Learning local feature aggregation functions with backpropagation. EUSIPCO Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos
2016	A*	`conf`	Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets. ACM Multimedia Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos