activity
20042025
most citedA far UV study of interstellar gas towards HD34078: high excitation H2 and small scale structure - Based on observations performed by the FUSE mission and at the CFHT telescope

46 citations · 64 across the 17 of their papers we have counts for

collaborators

19 papers

econ.TH2025

Choice Paralysis in Evolutionary Games

Brendon G. Anderson

In this paper, we consider finite-strategy approximations of infinite-strategy evolutionary games. We prove that such approximations converge to the true dynamics over finite-time…

math.OC2024

Approximately Gaussian Replicator Flows: Nonconvex Optimization as a Nash-Convergent Evolutionary Game

Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi

This work leverages tools from evolutionary game theory to solve unconstrained nonconvex optimization problems. Specifically, we lift such a problem to an optimization over probabi…

cs.LG2024

Transport of Algebraic Structure to Latent Embeddings

Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi

Machine learning often aims to produce latent embeddings of inputs which lie in a larger, abstract mathematical space. For example, in the field of 3D modeling, subsets of Euclidea…

math.DS2023

Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity

Brendon G. Anderson, Jingqi Li, Somayeh Sojoudi +1

We consider evolutionary dynamics for population games in which players have a continuum of strategies at their disposal. Models in this setting amount to infinite-dimensional diff…

cs.LG2023

Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off

Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi

Deep neural classifiers have recently found tremendous success in data-driven control systems. However, existing models suffer from a trade-off between accuracy and adversarial rob…

math.OC2023

Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks

Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi

The reliable deployment of neural networks in control systems requires rigorous robustness guarantees. In this paper, we obtain tight robustness certificates over convex attack set…