Jörg Bornschein

According to our database, Jörg Bornschein authored at least 29 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Denoising Autoregressive Representation Learning.

Yazhe Li, Jörg Bornschein, Ting Chen

CoRR, 2024

Transformers for Supervised Online Continual Learning.

Jörg Bornschein, Yazhe Li, Amal Rannen-Triki

CoRR, 2024

Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models.

Amal Rannen-Triki, Jörg Bornschein, Razvan Pascanu, Marcus Hutter, András György, Alexandre Galashov, Yee Whye Teh, Michalis K. Titsias

CoRR, 2024

2023

Towards Robust and Efficient Continual Language Learning.

Adam Fisch, Amal Rannen-Triki, Razvan Pascanu, Jörg Bornschein, Angeliki Lazaridou, Elena Gribovskaya, Marc'Aurelio Ranzato

CoRR, 2023

Kalman Filter for Online Classification of Non-Stationary Data.

Michalis K. Titsias, Alexandre Galashov, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh, Jörg Bornschein

CoRR, 2023

DiscoGen: Learning to Discover Gene Regulatory Networks.

Nan Rosemary Ke, Sara-Jane Dunn, Jörg Bornschein, Silvia Chiappa, Mélanie Rey, Jean-Baptiste Lespiau, Albin Cassirer, Jane X. Wang, Theophane Weber, David G. T. Barrett, Matthew M. Botvinick, Anirudh Goyal, Michael Mozer, Danilo J. Rezende

CoRR, 2023

Evaluating Representations with Readout Model Switching.

Yazhe Li, Jörg Bornschein, Marcus Hutter

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Induce Causal Structure.

Nan Rosemary Ke, Silvia Chiappa, Jane X. Wang, Jörg Bornschein, Anirudh Goyal, Mélanie Rey, Theophane Weber, Matthew M. Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sequential Learning of Neural Networks for Prequential MDL.

Jörg Bornschein, Yazhe Li, Marcus Hutter

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies.

Shivakanth Sujit, Pedro H. M. Braga, Jörg Bornschein, Samira Ebrahimi Kahou

CoRR, 2022

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

Jörg 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

CoRR, 2022

Learning to Induce Causal Structure.

Nan Rosemary Ke, Silvia Chiappa, Jane Wang, Jörg Bornschein, Theophane Weber, Anirudh Goyal, Matthew M. Botvinick, Michael Mozer, Danilo Jimenez Rezende

CoRR, 2022

When Does Re-initialization Work?

Sheheryar Zaidi, Tudor Berariu, Hyunjik Kim, Jörg Bornschein, Claudia Clopath, Yee Whye Teh, Razvan Pascanu

Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

2021

Prequential MDL for Causal Structure Learning with Neural Networks.

Jörg Bornschein, Silvia Chiappa, Alan Malek, Nan Rosemary Ke

CoRR, 2021

A study on the plasticity of neural networks.

Tudor Berariu, Wojciech Czarnecki, Soham De, Jörg Bornschein, Samuel L. Smith, Razvan Pascanu, Claudia Clopath

CoRR, 2021

2020

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

Jörg Bornschein, Francesco Visin, Simon Osindero

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions.

Georgios Exarchakis, Jörg Bornschein, Abdul-Saboor Sheikh, Zhenwen Dai, Marc Henniges, Jakob Drefs, Jörg Lücke

CoRR, 2019

2017

Variational Memory Addressing in Generative Models.

Jörg Bornschein, Andriy Mnih, Daniel Zoran, Danilo Jimenez Rezende

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Bidirectional Helmholtz Machines.

Jörg Bornschein, Samira Shabanian, Asja Fischer, Yoshua Bengio

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Training opposing directed models using geometric mean matching.

Jörg Bornschein, Samira Shabanian, Asja Fischer, Yoshua Bengio

CoRR, 2015

Reweighted Wake-Sleep.

Jörg Bornschein, Yoshua Bengio

Proceedings of the 3rd International Conference on Learning Representations, 2015

Towards Biologically Plausible Deep Learning.

Yoshua Bengio, Dong-Hyun Lee, Jörg Bornschein, Zhouhan Lin

CoRR, 2015

2013

Large-scale parallelized learning of nonlinear sparse coding models.

Jörg Bornschein

PhD thesis, 2013

Are V1 Simple Cells Optimized for Visual Occlusions? A Comparative Study.

Jörg Bornschein, Marc Henniges, Jörg Lücke

PLoS Comput. Biol., 2013

2012

Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding.

Jacquelyn A. Shelton, Philip Sterne, Jörg Bornschein, Abdul-Saboor Sheikh, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Select and Sample - A Model of Efficient Neural Inference and Learning.

Jacquelyn A. Shelton, Jörg Bornschein, Abdul-Saboor Sheikh, Pietro Berkes, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Gabor Wavelet Pyramid-Based Object Detection Algorithm.

Yasuomi D. Sato, Jenia Jitsev, Jörg Bornschein, Daniela Pamplona, Christian Keck, Christoph von der Malsburg

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

2010

The Maximal Causes of Natural Scenes are Edge Filters.

Gervasio Puertas, Jörg Bornschein, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Binary Sparse Coding.

Marc Henniges, Gervasio Puertas, Jörg Bornschein, Julian Eggert, Jörg Lücke

Proceedings of the Latent Variable Analysis and Signal Separation, 2010