Author

Vishrant Tripathi

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Preprint Oct 2026

Queuing for Inference: Dynamic Memory Footprints and Costly Preemption

A new queuing model that captures the impacts of transformer-based neural networks features on system stability and scheduling design, and proposes the Multi-Level-Priority-Threshold (MLPT) policy, that limits preemption while preserving priority for short jobs.

Jia-Hui Ni, Vishrant Tripathi · 0 citations

#machine learning Preprint Sep 2026

MaskCode: Mask Transformer for Feedback-Assisted Coding With Linear Block Codes

MaskCode is proposed, a Transformer-based inner feedback code for concatenated coding systems, which explicitly incorporates structural knowledge of the outer linear block code into the inner feedback encoder design via two synergistic mechanisms: a soft syndrome-based input that informs the encoder about potential par...

Jonggyu Jang, Hongjae Nam, Vishrant Tripathi et al. · 0 citations