5 citations · 7 across the 3 of their papers we have counts for
4 papers
The Fragility and Dynamics of LLM Pruning-Recovery Steps
Luis Frentzen Salim, Komang Rinartha, Chia-Chun Wu +3
Structural pruning followed by a recovery stage is the standard recipe for compressing large language models (LLMs), yet the two stages are typically designed and tuned in isolatio…
Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation
Jincheng Zhang, György Fazekas, Charalampos Saitis
The recent surge in the popularity of diffusion models for image synthesis has attracted new attention to their potential for generation tasks in other domains. However, their appl…
Fast Diffusion-GAN Model for Generating Symbolic Music with Emotions
Jincheng Zhang, György Fazekas, Charalampos Saitis
Diffusion models have shown promising results for a wide range of generative tasks with continuous data, such as image and audio synthesis. However, little progress has been made o…
Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models
Jincheng Zhang, György Fazekas, Charalampos Saitis
Emerging Denoising Diffusion Probabilistic Models (DDPM) have become increasingly utilised because of promising results they have achieved in diverse generative tasks with continuo…