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Christopher Mattern
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2020 – today
- 2024
- [c9]Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness:
Language Modeling Is Compression. ICLR 2024 - [c8]Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness:
Learning Universal Predictors. ICML 2024 - [i11]Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness:
Learning Universal Predictors. CoRR abs/2401.14953 (2024) - 2023
- [i10]Christopher Mattern:
Hierarchical Partitioning Forecaster. CoRR abs/2305.13063 (2023) - [i9]Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness:
Language Modeling Is Compression. CoRR abs/2309.10668 (2023) - 2021
- [c7]Joel Veness, Tor Lattimore, David Budden, Avishkar Bhoopchand, Christopher Mattern, Agnieszka Grabska-Barwinska, Eren Sezener, Jianan Wang, Peter Toth, Simon Schmitt, Marcus Hutter:
Gated Linear Networks. AAAI 2021: 10015-10023
2010 – 2019
- 2019
- [i8]Joel Veness, Tor Lattimore, Avishkar Bhoopchand, David Budden, Christopher Mattern, Agnieszka Grabska-Barwinska, Peter Toth, Simon Schmitt, Marcus Hutter:
Gated Linear Networks. CoRR abs/1910.01526 (2019) - 2018
- [c6]Christopher Mattern:
Generalized Probability Smoothing. DCC 2018: 247-256 - 2017
- [i7]Joel Veness, Tor Lattimore, Avishkar Bhoopchand, Agnieszka Grabska-Barwinska, Christopher Mattern, Peter Toth:
Online Learning with Gated Linear Networks. CoRR abs/1712.01897 (2017) - [i6]Christopher Mattern:
Generalized Probability Smoothing. CoRR abs/1712.02151 (2017) - 2016
- [b1]Christopher Mattern:
On Statistical Data Compression. Technische Universität Ilmenau, Germany, 2016 - 2015
- [c5]Christopher Mattern:
On Probability Estimation via Relative Frequencies and Discount. DCC 2015: 183-192 - [c4]Christopher Mattern:
On Probability Estimation by Exponential Smoothing. DCC 2015: 460 - [i5]Christopher Mattern:
On Probability Estimation by Exponential Smoothing. CoRR abs/1501.01202 (2015) - 2013
- [c3]Christopher Mattern:
Linear and Geometric Mixtures - Analysis. DCC 2013: 301-310 - [i4]Christopher Mattern:
Linear and Geometric Mixtures - Analysis. CoRR abs/1302.2820 (2013) - [i3]Christopher Mattern:
Mixing Strategies in Data Compression. CoRR abs/1302.2839 (2013) - [i2]Christopher Mattern:
Combining non-stationary prediction, optimization and mixing for data compression. CoRR abs/1302.2856 (2013) - [i1]Christopher Mattern:
On Probability Estimation via Relative Frequencies and Discount. CoRR abs/1311.1723 (2013) - 2012
- [c2]Christopher Mattern:
Mixing Strategies in Data Compression. DCC 2012: 337-346 - 2011
- [c1]Christopher Mattern:
Combining Non-stationary Prediction, Optimization and Mixing for Data Compression. CCP 2011: 29-37
Coauthor Index
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