Brendon G. Anderson

33 papers A* 2Journal 21Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity. IEEE Trans. Autom. Control. Brendon G. Anderson, Jingqi Li, Somayeh Sojoudi, Murat Arcak
2025	J	`jnl`	Choice Paralysis in Evolutionary Games. CoRR Brendon G. Anderson
2025	J	`jnl`	Choice Paralysis in Evolutionary Games. IEEE Control. Syst. Lett. Brendon G. Anderson
2025	J	`jnl`	Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification. J. Mach. Learn. Res. Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
2024	—	`conf`	Approximately Gaussian Replicator Flows: Nonconvex Optimization as a Nash-Convergent Evolutionary Game. CDC Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi
2024	J	`jnl`	Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing. SIAM J. Math. Data Sci. Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi
2024	—	`conf`	Mixing classifiers to alleviate the accuracy-robustness trade-off. L4DC Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi
2024	—	`—`	Provably Robust Machine Learning through Structure-Aware Computation Brendon G. Anderson
2024	A*	`conf`	Transport of Algebraic Structure to Latent Embeddings. ICML Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
2024	J	`jnl`	Transport of Algebraic Structure to Latent Embeddings. CoRR Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
2023	A*	`conf`	Asymmetric Certified Robustness via Feature-Convex Neural Networks. NeurIPS Samuel Pfrommer, Brendon G. Anderson, Julien Piet, Somayeh Sojoudi
2023	J	`jnl`	Asymmetric Certified Robustness via Feature-Convex Neural Networks. CoRR Samuel Pfrommer, Brendon G. Anderson, Julien Piet, Somayeh Sojoudi
2023	J	`jnl`	Data-Driven Certification of Neural Networks With Random Input Noise. IEEE Trans. Control. Netw. Syst. Brendon G. Anderson, Somayeh Sojoudi
2023	J	`jnl`	Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity. CoRR Brendon G. Anderson, Somayeh Sojoudi, Murat Arcak
2023	J	`jnl`	Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing. CoRR Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi
2023	J	`jnl`	Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off. CoRR Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi
2023	J	`jnl`	Projected Randomized Smoothing for Certified Adversarial Robustness. CoRR Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
2023	J	`jnl`	Projected Randomized Smoothing for Certified Adversarial Robustness. Trans. Mach. Learn. Res. Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
2023	—	`conf`	Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks. CDC Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi
2023	J	`jnl`	Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks. CoRR Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi
2022	—	`conf`	A Sequential Greedy Approach for Training Implicit Deep Models. CDC Tanmay Gautam, Brendon G. Anderson, Somayeh Sojoudi, Laurent El Ghaoui
2022	J	`jnl`	An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models. CoRR Brendon G. Anderson, Tanmay Gautam, Somayeh Sojoudi
2022	—	`conf`	Certified Robustness via Locally Biased Randomized Smoothing. L4DC Brendon G. Anderson, Somayeh Sojoudi
2021	J	`jnl`	Node-Variant Graph Filters in Graph Neural Networks. CoRR Fernando Gama, Brendon G. Anderson, Somayeh Sojoudi
2021	J	`jnl`	Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks. CoRR Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
2020	J	`jnl`	Data-Driven Assessment of Deep Neural Networks with Random Input Uncertainty. CoRR Brendon G. Anderson, Somayeh Sojoudi
2020	—	`conf`	Tightened Convex Relaxations for Neural Network Robustness Certification. CDC Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
2020	J	`jnl`	Tightened Convex Relaxations for Neural Network Robustness Certification. CoRR Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
2019	—	`conf`	Global Optimality Guarantees for Nonconvex Unsupervised Video Segmentation. Allerton Brendon G. Anderson, Somayeh Sojoudi
2019	J	`jnl`	Global Optimality Guarantees for Nonconvex Unsupervised Video Segmentation. CoRR Brendon G. Anderson, Somayeh Sojoudi
2019	J	`jnl`	Quantifying Robotic Swarm Coverage. CoRR Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi
2018	—	`conf`	Quantifying Robotic Swarm Coverage. ICINCO (Selected Papers) Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi
2018	—	`conf`	Quantitative Assessment of Robotic Swarm Coverage. ICINCO (2) Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi