Bornschein, Jorg

16 publications

ICML 2024 Denoising Autoregressive Representation Learning Yazhe Li, Jorg Bornschein, Ting Chen

NeurIPS 2024 Imitating Language via Scalable Inverse Reinforcement Learning Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin Riedmiller

ICLR 2024 Kalman Filter for Online Classification of Non-Stationary Data Michalis Titsias, Alexandre Galashov, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh, Jorg Bornschein

TMLR 2023 Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies Shivakanth Sujit, Pedro Braga, Jorg Bornschein, Samira Ebrahimi Kahou

ICLR 2023 Evaluating Representations with Readout Model Switching Yazhe Li, Jorg Bornschein, Marcus Hutter

ICLR 2023 Learning to Induce Causal Structure Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Theophane Weber, Matthew Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende

JMLR 2023 Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research Jorg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuan 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

NeurIPSW 2023 Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models Amal Rannen-Triki, Jorg Bornschein, Razvan Pascanu, Alexandre Galashov, Michalis Titsias, Marcus Hutter, András György, Yee Whye Teh

ICLR 2023 Sequential Learning of Neural Networks for Prequential MDL Jorg Bornschein, Yazhe Li, Marcus Hutter

NeurIPSW 2022 Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies Shiva Kanth Sujit, Pedro Braga, Jorg Bornschein, Samira Ebrahimi Kahou

ICMLW 2022 Learning to Induce Causal Structure Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Matthew Botvinick, Theophane Weber, Michael Curtis Mozer, Danilo Jimenez Rezende

NeurIPSW 2022 When Does Re-Initialization Work? Sheheryar Zaidi, Tudor Berariu, Hyunjik Kim, Jorg Bornschein, Claudia Clopath, Yee Whye Teh, Razvan Pascanu

ICML 2020 Small Data, Big Decisions: Model Selection in the Small-Data Regime Jorg Bornschein, Francesco Visin, Simon Osindero

NeurIPS 2017 Variational Memory Addressing in Generative Models Jörg Bornschein, Andriy Mnih, Daniel Zoran, Danilo Jimenez Rezende

ICML 2016 Bidirectional Helmholtz Machines Jorg Bornschein, Samira Shabanian, Asja Fischer, Yoshua Bengio

ICLR 2015 Reweighted Wake-Sleep Jörg Bornschein, Yoshua Bengio