AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work establishes a robust dataset and evaluation benchmark for prosody-aware computational Sanskrit recitation by Benchmarking state-of-the-art TTS architectures via an automated UTMOS (neural MOS) predictor demonstrates that XTTS-v2 achieves the highest perceptual quality.
Recent work has shown that deep neural networks exhibit an implicit low-rank simplicity bias. In this paper, we investigate the questions that naturally arise from this observation. What are the temporal consequences of low-rank simplicity bias during optimization? How does representation geometry evolve throughout opt...
Vision Transformers (ViTs) have demonstrated exceptional performance across various computer vision tasks. However, their susceptibility to adversarial white-box attacks poses a significant risk, especially in safety-critical applications. These attacks, with full model access, pose severe threat by drastically reducin...
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