Sebastian Musslick

According to our database1, Sebastian Musslick authored at least 29 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of three.
  • Erdős number3 of two.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Automating the Practice of Science - Opportunities, Challenges, and Implications.
CoRR, 2024

Large language models surpass human experts in predicting neuroscience results.
CoRR, 2024

2023
Pushing the Bounds of Bounded Optimality and Rationality.
Cogn. Sci., April, 2023

GFN-SR: Symbolic Regression with Generative Flow Networks.
CoRR, 2023

A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks.
CoRR, 2023

Augmenting EEG with Generative Adversarial Networks Enhances Brain Decoding Across Classifiers and Sample Sizes.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Does a Curriculum Improve Perceptual Decision Making?
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

An Evaluation of Experimental Sampling Strategies for Autonomous Empirical Research in Cognitive Science.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
A Benchmark for Compositional Visual Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Leveraging psychometrics of rational inattention to estimate individual differences in the capacity for cognitive control.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021
On the Rational Bounds of Cognitive Control
PhD thesis, 2021

Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Regression, encoding, control: an integrated approach to shared representations with distributed coding.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks.
CoRR, 2020

Mental effort: One construct, many faces?
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Asymmetric Switch Costs as a Function of Task Strength.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Understanding interactions amongst cognitive control, learning and representation.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Decomposing Individual Differences in Cognitive Control: A Model-Based Approach.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

A Mechanistic Account of Constraints on Control-Dependent Processing: Shared Representation, Conflict and Persistence.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Stability-Flexibility Dilemma in Cognitive Control: A Dynamical System Perspective.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Rational metareasoning and the plasticity of cognitive control.
PLoS Comput. Biol., 2018

Efficiency of learning vs. processing: Towards a normative theory of multitasking.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Constraints associated with cognitive control and the stability-flexibility dilemma.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Estimating the costs of cognitive control from task performance: theoretical validation and potential pitfalls.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
A graph-theoretic approach to multitasking.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Formal Approach to Modeling the Cost of Cognitive Control.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Multitasking Capability Versus Learning Efficiency in Neural Network Architectures.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
A Graph-Theoretic Approach to Multitasking.
CoRR, 2016

Controlled vs. Automatic Processing: A Graph-Theoretic Approach to the Analysis of Serial vs. Parallel Processing in Neural Network Architectures.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016


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