David G. Nagy

Orcid: 0000-0002-1722-4276

According to our database1, David G. Nagy authored at least 13 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Agent-centric learning: from external reward maximization to internal knowledge curation.
CoRR, July, 2025

Analogy making as amortised model construction.
CoRR, July, 2025

Striking the Right Chord Between Reuse and Improvisation: Melody Learning as Resource-Rational Program Induction.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Learning to remember and remembering to learn: memory distortions as semantic compression of episodes.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024
Harmonizing Program Induction with Rate-Distortion Theory.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals.
PLoS Comput. Biol., January, 2023

2022
Tracking the contribution of inductive bias to individualised internal models.
PLoS Comput. Biol., 2022

Forgetting in delayed recognition as generative compression with decreasing capacity.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021
Memory Failures Provide Clues for more Efficient Compression.
ERCIM News, 2021

2020
Optimal forgetting: Semantic compression of episodic memories.
PLoS Comput. Biol., 2020

2018
Semantic compression of episodic memories.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Episodic memory for continual model learning.
CoRR, 2017

2016
Episodic memory as a prerequisite for online updates of model structure.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016


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