2 papers
cs.SD2026
Distill Locally, Schedule Globally: Flow Maps for Few-Step Text-to-Speech
Yentl Collin, Evan Dufraisse, Amr Mohamed +3
Flow-matching text-to-speech (TTS) models achieve high synthesis quality but require many neural function evaluations (NFEs) to integrate their generative trajectories. Recent few-…
cs.LG2025
SSM-CGM: Interpretable State-Space Forecasting Model of Continuous Glucose Monitoring for Personalized Diabetes Management
Shakson Isaac, Yentl Collin, Chirag Patel
Continuous glucose monitoring (CGM) generates dense data streams critical for diabetes management, but most used forecasting models lack interpretability for clinical use. We prese…