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cs.LG2026
Continuous Optimization for p-adic Models
Julian Salazar, Dimitri Kanevsky, Matt Harvey +2
We present the first method for native, continuous gradient descent for machine learning models with -adic parameters. Existing native optimizers are discrete, mostly combinator…
cs.SD2026
PhaseCoder: Microphone Geometry-Agnostic Spatial Audio Understanding for Multimodal LLMs
Artem Dementyev, Wazeer Zulfikar, Sinan Hersek +3
Current multimodal LLMs process audio as a mono stream, ignoring the rich spatial information essential for embodied AI. Existing spatial audio models, conversely, are constrained…