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Kaustubh Gupta

2 accepted papers

2026

Interpreting and Steering State-Space Models via Activation Subspace Bottlenecks

ICML 2026poster

State-space models (SSMs) have emerged as an efficient strategy for building powerful language models, avoiding the quadratic complexity of computing attention in transformers. Despite their promise, the interpretability and steerability of modern SSMs remain relatively underexplored. We take a majo…

Cited by 0SourceScholar
2025

Stream-TTS: A Low-Latency Text-to-Speech using Kolmogorov-Arnold Networks for Streaming Speech Applications

ICASSP 2025accepted

The rise of conversational AI and multimodal streaming applications has led to a significant demand for low-latency Text-to-Speech (TTS) systems. This work presents a multilingual low-latency model that leverages the functional decomposition principles of Kolmogorov-Arnold Networks (KANs) in modelin…

Cited by 0SourceScholar