David G. Nagy

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Learning Contexts

Efficient Compression

Compression Ratio

Semantically Equivalent

Top Venues

PLoS Comput. Biol.

Publications

Hanqi Zhou, David G. Nagy, Charley M. Wu
Harmonizing Program Induction with Rate-Distortion Theory. CoRR (2024)
Timo Flesch, David G. Nagy, Andrew M. Saxe, Christopher Summerfield
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals. PLoS Comput. Biol. 19 (1) (2023)
Timo Flesch, David G. Nagy, Andrew Saxe, Christopher Summerfield
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals. CoRR (2022)
Balázs Török, David G. Nagy, Mariann Kiss, Karolina Janacsek, Dezso Németh, Gergo Orbán
Tracking the contribution of inductive bias to individualised internal models. PLoS Comput. Biol. 18 (6) (2022)
Csenge Fráter, David G. Nagy, Gergo Orbán
Forgetting in delayed recognition as generative compression with decreasing capacity. CogSci (2022)
David G. Nagy, Csenge Fráter, Gergo Orbán
Memory Failures Provide Clues for more Efficient Compression. ERCIM News 2021 (125) (2021)
David G. Nagy, Balázs Török, Gergo Orbán
Optimal forgetting: Semantic compression of episodic memories. PLoS Comput. Biol. 16 (10) (2020)
David G. Nagy, Balázs Török, Gergo Orbán
Semantic compression of episodic memories. CogSci (2018)
David G. Nagy, Gergo Orbán
Episodic memory for continual model learning. CoRR (2017)