Victor Geadah

According to our database, Victor Geadah authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

Flexible inference of learning rules from de novo learning data using neural networks.

Yuhan Helena Liu, Victor Geadah, Jonathan W. Pillow

CoRR, September, 2025

Comparing noisy neural population dynamics using optimal transport distances.

Amin Nejatbakhsh, Victor Geadah, Alex H. Williams, David Lipshutz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization.

Victor Geadah, Stefan Horoi, Giancarlo Kerg, Guy Wolf, Guillaume Lajoie

PLoS Comput. Biol., 2024

Sparse-Coding Variational Autoencoders.

Victor Geadah, Gabriel Barello, C. Daniel Greenidge, Adam S. Charles, Jonathan W. Pillow

Neural Comput., 2024

Parsing neural dynamics with infinite recurrent switching linear dynamical systems.

Victor Geadah, International Brain Laboratory, Jonathan W. Pillow

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Inferring System and Optimal Control Parameters of Closed-Loop Systems from Partial Observations.

Victor Geadah, Juncal Arbelaiz, Harrison Ritz, Nathaniel D. Daw, Jonathan D. Cohen, Jonathan W. Pillow

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2020

Advantages of biologically-inspired adaptive neural activation in RNNs during learning.

Victor Geadah, Giancarlo Kerg, Stefan Horoi, Guy Wolf, Guillaume Lajoie

CoRR, 2020

Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks.

Stefan Horoi, Victor Geadah, Guy Wolf, Guillaume Lajoie

Proceedings of the Advances in Artificial Intelligence, 2020