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cs.LG2026
Function-Space Transformer with Adaptive Anchors
Guorui Sang, Pedram Rooshenas
Many forms of data, including physical fields, geometric shapes, and visual signals, are naturally described by functions over continuous domains but are observed through discrete…
cs.LG2026
Steered Generation via Gradient-Based Optimization on Sparse Query Features
Sumanta Bhattacharyya, Pedram Rooshenas
Latent steering exploits internal representations of Large Language Models (LLMs) to guide generation, yet interventions on dense states can entangle distinct semantic features. In…
cs.LG2026
TARO: Temporal Adversarial Rectification Optimization Using Diffusion Models as Purifiers
Daniel Wesego, Pedram Rooshenas
Adversarial purification with diffusion models seeks to project adversarial examples back toward the data manifold, but balancing semantic preservation and robustness against adapt…