3 papers
cs.LG2026
Geometric Preconditioning and Curriculum Optimization for Trainable Variational Quantum Regression
Qingyu Meng, Yangshuai Wang
Variational quantum circuits are increasingly studied as continuous-function approximators, but quantum regression remains difficult to train when global losses, finite-shot stocha…
cs.LG2025
Efficient Mathematical Reasoning Models via Dynamic Pruning and Knowledge Distillation
Fengming Yu, Qingyu Meng, Haiwei Pan +1
With the rapid development of deep learning, large language models have shown strong capabilities in complex reasoning tasks such as mathematical equation solving. However, their s…
cs.SD2025
Quantize More, Lose Less: Autoregressive Generation from Residually Quantized Speech Representations
Yichen Han, Xiaoyang Hao, Keming Chen +25
Text-to-speech (TTS) synthesis has seen renewed progress under the discrete modeling paradigm. Existing autoregressive approaches often rely on single-codebook representations, whi…