Jacob Sander

According to our database, Jacob Sander authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Advancing Model Refinement: Muon-Optimized Distillation and Quantization for LLM Deployment.

Jacob Sander, Brian Jalaian, Venkat R. Dasari

CoRR, January, 2026

2025

Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning.

Huynh T. T. Tran, Jacob Sander, Achraf Cohen, Brian Jalaian, Nathaniel D. Bastian

CoRR, June, 2025

On Accelerating Edge AI: Optimizing Resource-Constrained Environments.

Jacob Sander, Achraf Cohen, Venkat R. Dasari, K. Brent Venable, Brian Jalaian

CoRR, January, 2025

Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection.

Huynh T. T. Tran, Jacob Sander, Achraf Cohen, Brian Jalaian, Nathaniel D. Bastian

Proceedings of the IEEE Military Communications Conference, 2025

Constrained Edge AI Deployment: Fine-Tuning vs. Distillation for LLM Compression.

Jacob Sander, David Moe, Achraf Cohen, Brian Jalaian, K. Brent Venable, Venkat R. Dasari

Proceedings of the IEEE Military Communications Conference, 2025

2024

Uncertainty-Quantified Neurosymbolic AI for Open Set Recognition in Network Intrusion Detection.

Jacob Sander, Chung-En Johnny Yu, Brian Jalaian, Nathaniel D. Bastian

Proceedings of the IEEE Military Communications Conference, 2024