Published in International Conference on Machine Learning (ICML), 2025
We introduce Interactive Bayesian Distributional Robustness (IBDR), a novel Bayesian inference framework that allows modeling the interactions between particles, thereby enhancing ensemble quality through increased particle diversity.
Published in International Conference on Machine Learning (ICML), 2025
We introduce Flat Hilbert Bayesian Inference (FHBI), an algorithm designed to enhance generalization in Bayesian inference. Our approach involves an iterative two-step procedure with an adversarial functional perturbation step and a functional descent step within a reproducing kernel Hilbert space.
Published in International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
This paper introduces Pitch-Fusion, a novel Speech Emotion Recognition (SER) model tailored for tonal languages. This model enhances tonal SER performance by leveraging pitch features in speech segments.