Author

V. Agneeswaran

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#artificial intelligence Preprint Sep 2026

QiT: Quantum-Inspired Transformer for Visual Recognition Task

QT is introduced, a Quantum-inspired Transformer for vision tasks with three components: angle-inspired encoding that maps image tokens to learned trigonometric Hilbert-space features analogous to quantum rotation-based state encoding; self-attention over these periodic features, inducing a classical cosine kernel appr...

B. Patro, V. Agneeswaran · 0 citations

Jul 2026

Beyond the Bidirectional Promise: Re-evaluating the Robustness of Diffusion Language Models

While highly stochastic DLM loss landscapes naturally resist gradient-based adversarial suffixes, they provide no guaranteed defense against natural noise, proving that everyday robustness is weight-dependent rather than inherently architectural.

Saurabh Yadav, B. Patro, V. Agneeswaran · arXiv.org · 0 citations