Zafeirios Fountas

Orcid: 0000-0002-6312-3409

According to our database1, Zafeirios Fountas authored at least 24 papers between 2011 and 2024.

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Bibliography

2024
Human-like Episodic Memory for Infinite Context LLMs.
CoRR, 2024

When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination.
CoRR, 2024

Sample as you Infer: Predictive Coding with Langevin Dynamics.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation.
Neural Comput., December, 2023

Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo.
CoRR, 2023

2022
Trial-by-trial predictions of subjective time from human brain activity.
PLoS Comput. Biol., 2022

A Predictive Processing Model of Episodic Memory and Time Perception.
Neural Comput., 2022

Long-horizon video prediction using a dynamic latent hierarchy.
CoRR, 2022

Modelling non-reinforced preferences using selective attention.
CoRR, 2022

Bayesian sense of time in biological and artificial brains.
CoRR, 2022

Variational Predictive Routing with Nested Subjective Timescales.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Benefits of Adaptive Learning Transfer From Typing-Based Learning to Speech-Based Learning.
Frontiers Artif. Intell., 2021

Exploration and preference satisfaction trade-off in reward-free learning.
CoRR, 2021

Translating a Typing-Based Adaptive Learning Model to Speech-Based L2 Vocabulary Learning.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

2020
Episodic Memory for Learning Subjective-Timescale Models.
CoRR, 2020

Building Proactive Voice Assistants: When and How (not) to Interact.
CoRR, 2020

Deep active inference agents using Monte-Carlo methods.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multimodal Data Fusion based on the Global Workspace Theory.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

2015
GPU-based fast parameter optimization for phenomenological spiking neural models.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Phase offset between slow oscillatory cortical inputs influences competition in a model of the basal ganglia.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
A Neurally Controlled Computer Game Avatar With Humanlike Behavior.
IEEE Trans. Comput. Intell. AI Games, 2013

A Cognitive Neural Architecture as a Robot Controller.
Proceedings of the Biomimetic and Biohybrid Systems, 2013

2011
A neuronal global workspace for human-like control of a computer game character.
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011


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