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Jorg Bornschein

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Kalman Filter for Online Classification of Non-Stationary Data

Jun 14, 2023
Michalis K. Titsias, Alexandre Galashov, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh, Jorg Bornschein

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DiscoGen: Learning to Discover Gene Regulatory Networks

Apr 12, 2023
Nan Rosemary Ke, Sara-Jane Dunn, Jorg Bornschein, Silvia Chiappa, Melanie Rey, Jean-Baptiste Lespiau, Albin Cassirer, Jane Wang, Theophane Weber, David Barrett, Matthew Botvinick, Anirudh Goyal, Mike Mozer, Danilo Rezende

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Evaluating Representations with Readout Model Switching

Feb 19, 2023
Yazhe Li, Jorg Bornschein, Marcus Hutter

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Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies

Dec 15, 2022
Shivakanth Sujit, Pedro H. M. Braga, Jorg Bornschein, Samira Ebrahimi Kahou

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NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research

Nov 15, 2022
Jorg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuang Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato

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Sequential Learning Of Neural Networks for Prequential MDL

Oct 14, 2022
Jorg Bornschein, Yazhe Li, Marcus Hutter

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Learning to Induce Causal Structure

Apr 11, 2022
Nan Rosemary Ke, Silvia Chiappa, Jane Wang, Jorg Bornschein, Theophane Weber, Anirudh Goyal, Matthew Botvinic, Michael Mozer, Danilo Jimenez Rezende

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Prequential MDL for Causal Structure Learning with Neural Networks

Jul 02, 2021
Jorg Bornschein, Silvia Chiappa, Alan Malek, Rosemary Nan Ke

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A study on the plasticity of neural networks

May 31, 2021
Tudor Berariu, Wojciech Czarnecki, Soham De, Jorg Bornschein, Samuel Smith, Razvan Pascanu, Claudia Clopath

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Small Data, Big Decisions: Model Selection in the Small-Data Regime

Sep 26, 2020
Jorg Bornschein, Francesco Visin, Simon Osindero

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