基本信息
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职业迁徙
个人简介
My research interests include topics as:
Optimization & Learning -- During my PhD I was fascinated by second order methods and natural gradient, on which I spend some time.
Memory & RNNs -- I'm particularly interested in how memory is formed in recurrent models, and what kind of structures can help us utilize memory better (topic I've been working on since my Masters).
Learning with multiple tasks: Continual Learning, Transfer Learning, Multi-task learning, Curriculum Learning, Meta-learning -- With the explicit goal of improving data efficiency, I have been working on multiple problems formulated around training with multiple tasks.
Graph Neural Networks -- Adding meaningful structure to neural networks is definitely an important future direction that I believe we need to understand.
Theory for deep networks (representation/learning) -- I'm interested in understanding how neural networks work.
Reinforcement Learning, Generative Models -- While my work does not focus directly on these topics, I have been a few works in this space and is a topic of interest to me that comes in and out of focus.
Optimization & Learning -- During my PhD I was fascinated by second order methods and natural gradient, on which I spend some time.
Memory & RNNs -- I'm particularly interested in how memory is formed in recurrent models, and what kind of structures can help us utilize memory better (topic I've been working on since my Masters).
Learning with multiple tasks: Continual Learning, Transfer Learning, Multi-task learning, Curriculum Learning, Meta-learning -- With the explicit goal of improving data efficiency, I have been working on multiple problems formulated around training with multiple tasks.
Graph Neural Networks -- Adding meaningful structure to neural networks is definitely an important future direction that I believe we need to understand.
Theory for deep networks (representation/learning) -- I'm interested in understanding how neural networks work.
Reinforcement Learning, Generative Models -- While my work does not focus directly on these topics, I have been a few works in this space and is a topic of interest to me that comes in and out of focus.
研究兴趣
论文共 157 篇作者统计合作学者相似作者
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Aleksandar Botev,Soham De,Samuel L Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun,Leonard Berrada,Razvan Pascanu, Pier Giuseppe Sessa,Robert Dadashi,Léonard Hussenot,Johan Ferret,
arxiv(2024)
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CoRR (2024)
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ICLR 2024 (2024)
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Amal Rannen-Triki,Jorg Bornschein,Razvan Pascanu,Marcus Hutter,Andras György,Alexandre Galashov,Yee Whye Teh, Michalis K. Titsias
arxiv(2024)
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Simon Dufort-Labbé, Pierluca D'Oro,Evgenii Nikishin,Razvan Pascanu, Pierre-Luc Bacon, Aristide Baratin
arxiv(2024)
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Maciej Wołczyk, Bartłomiej Cupiał,Mateusz Ostaszewski, Michał Bortkiewicz,Michał Zając,Razvan Pascanu,Łukasz Kuciński,Piotr Miłoś
CoRR (2024)
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Soham De,Samuel L. Smith, Anushan Fernando,Aleksandar Botev, George Cristian-Muraru,Albert Gu, Ruba Haroun,Leonard Berrada,Yutian Chen, Srivatsan Srinivasan,Guillaume Desjardins,Arnaud Doucet,
CoRR (2024)
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Ioana Bica, Anastasija Ilić, Matthias Bauer, Goker Erdogan,Matko Bošnjak,Christos Kaplanis,Alexey A. Gritsenko,Matthias Minderer,Charles Blundell,Razvan Pascanu,Jovana Mitrović
CoRR (2024)
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Pranshu Malviya,Gonçalo Mordido,Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang,Simon Lacoste-Julien,Razvan Pascanu,Sarath Chandar
CoRR (2023)
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