Simon N. Segert

According to our database, Simon N. Segert authored at least 6 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks.

Cutter Dawes, Simon N. Segert, Kamesh Krishnamurthy, Jonathan D. Cohen

CoRR, July, 2025

2024

Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem.

Simon N. Segert

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Beyond Transformers for Function Learning.

Simon N. Segert, Jonathan Cohen

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

A Self-Supervised Framework for Function Learning and Extrapolation.

Simon N. Segert, Jonathan D. Cohen

Trans. Mach. Learn. Res., 2022

Maximum Entropy Function Learning.

Simon N. Segert, Jonathan Cohen

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2019

A tradeoff between generalization and perceptual capacity in recurrent neural networks.

Taylor W. Webb, Steven Frankland, Simon N. Segert, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019