Michael Vaiana

According to our database, Michael Vaiana authored at least 9 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Learning Self-Interpretation from Interpretability Artifacts: Training Lightweight Adapters on Vector-Label Pairs.

Keenan Pepper, Alex McKenzie, Florin Pop, Stijn Servaes, Martin Leitgab, Mike Vaiana, Judd Rosenblatt, Michael S. A. Graziano, Diogo S. de Lucena

CoRR, February, 2026

Endogenous Resistance to Activation Steering in Language Models.

Alex McKenzie, Keenan Pepper, Stijn Servaes, Martin Leitgab, Murat Cubuktepe, Mike Vaiana, Diogo S. de Lucena, Judd Rosenblatt, Michael S. A. Graziano

CoRR, February, 2026

2024

Towards Safe and Honest AI Agents with Neural Self-Other Overlap.

Marc Carauleanu, Michael Vaiana, Judd Rosenblatt, Cameron Berg, Diogo Schwerz de Lucena

CoRR, 2024

Unexpected Benefits of Self-Modeling in Neural Systems.

Vickram N. Premakumar, Michael Vaiana, Florin Pop, Judd Rosenblatt, Diogo Schwerz de Lucena, Kirsten Ziman, Michael S. A. Graziano

CoRR, 2024

Rethinking harmless refusals when fine-tuning foundation models.

Florin Pop, Judd Rosenblatt, Diogo Schwerz de Lucena, Michael Vaiana

CoRR, 2024

2020

Multilayer Brain Networks.

Michael Vaiana, Sarah Feldt Muldoon

J. Nonlinear Sci., 2020

2019

Optimizing state change detection in functional temporal networks through dynamic community detection.

Michael Vaiana, Ethan M. Goldberg, Sarah Feldt Muldoon

J. Complex Networks, 2019

2018

Integrating Network Science and Computational Topology with Applications in Neuroscience Data Analytics.

Michael Vaiana

PhD thesis, 2018

Resolution Limits for Detecting Community Changes in Multilayer Networks.

Michael Vaiana, Sarah Muldoon

CoRR, 2018