No Junk, no Peeking, Serious Offers Only: P2P File Exchange in Wireless Ad-hoc Networks. - Ryan Vogt; Ioanis Nikolaidis; Pawel Gburzynski (LCN, 2005)

Timing is everything. - Nathan Friess; Ryan Vogt; John Aycock (Comput. Secur., 2005)

Divalia: A Practical Framework for Anonymous Peer-to-Peer File Exchange in Wireless Ad-hoc Networks. - Ryan Vogt; Ioanis Nikolaidis; Pawel Gburzynski (CNSR, 2006)

Army of Botnets. - Ryan Vogt; John Aycock; Michael J. Jacobson Jr. (NDSS, 2007)

On the Trade-Off between User-Location Privacy and Queried-Location Privacy in Wireless Sensor Networks. - Ryan Vogt; Mario A. Nascimento; Janelle J. Harms (ADHOC-NOW, 2009)

A realistic outdoor urban pedestrian mobility model. - Ryan Vogt; Ioanis Nikolaidis; Pawel Gburzynski (Simul. Model. Pract. Theory, 2012)

Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU. - Rong Ge 002; Ryan Vogt; Jahangir Majumder; Arif Alam; Martin Burtscher; Ziliang Zong (ICPP, 2013)

Observability analysis and state observer design for a cardiac ionic cell model. - Anthony Guzman; Ryan Vogt; Clar Charron; Kalyan Pusarla; Laura Muñoz (Comput. Biol. Medicine, 2020)

Controllability and state feedback control of a cardiac ionic cell model. - Ryan Vogt; Anthony Guzman; Clar Charron; Laura Muñoz (Comput. Biol. Medicine, 2021)

Approximate Computing Through the Lens of Uncertainty Quantification. - Konstantinos Parasyris; James Diffenderfer; Harshitha Menon; Ignacio Laguna; Jackson Vanover; Ryan Vogt; Daniel Osei-Kuffuor (SC, 2022)

Lyapunov-Guided Embedding for Hyperparameter Selection in Recurrent Neural Networks. - Ryan Vogt; Yang Zheng; Eli Shlizerman (CoRR, 2022)

On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools. - Ryan Vogt; Maximilian Puelma Touzel; Eli Shlizerman; Guillaume Lajoie (Frontiers Appl. Math. Stat., 2022)

Lyapunov-guided representation of recurrent neural network performance. - Ryan Vogt; Yang Zheng; Eli Shlizerman (Neural Comput. Appl., 2024)

Correction: Lyapunov-guided representation of recurrent neural network performance. - Ryan Vogt; Yang Zheng; Eli Shlizerman (Neural Comput. Appl., 2024)