Vitvitskyi, Alex

8 publications

ICLR 2025 Round and Round We Go! What Makes Rotary Positional Encodings Useful? Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Veličković

ICML 2025 What Makes a Good Feedforward Computational Graph? Alex Vitvitskyi, João Guilherme Madeira Araújo, Marc Lackenby, Petar Veličković

NeurIPS 2024 Transformers Need Glasses! Information Over-Squashing in Language Tasks Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João G.M. Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Veličković

ICMLW 2024 Transformers Need Glasses! Information Over-Squashing in Language Tasks Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João Guilherme Madeira Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Veličković

LoG 2022 A Generalist Neural Algorithmic Learner Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bošnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Veličković

ICMLW 2021 Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Víctor Campos, Pablo Sprechmann, Steven Stenberg Hansen, Andre Barreto, Steven Kapturowski, Alex Vitvitskyi, Adria Puigdomenech Badia, Charles Blundell

ICML 2020 Agent57: Outperforming the Atari Human Benchmark Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell

ICLR 2020 Never Give up: Learning Directed Exploration Strategies Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andew Bolt, Charles Blundell