1.5k citations · 4.2k across the 225 of their papers we have counts for
276 papers
Rank-Aware Speculative Sampling for Diffusion Draft Trees
Marcello Bullo, Yanxiao Liu, Öykü Sıla Güner +2
Speculative sampling accelerates diffusion generation by verifying inexpensive draft states in parallel while preserving the target law. Recent tree-based methods allocate the para…
ExpBoN: Exponential-Noise Best-of- for Efficient Test-Time LLM Alignment
Yanxiao Liu, Sicheng Wan, Deniz Gündüz
Best-of- (BoN) sampling is a simple yet effective inference-time alignment method, but hard maximization provides only coarse control over the trade-off between reward and distr…
Watermarkable Multi-Draft Speculative Sampling via Poisson Processes
Yanxiao Liu, Sicheng Wan, Zhan Gao +1
Large language models (LLMs) have achieved state-of-the-art performance across a wide range of tasks, motivating two important aspects of deployment: inference efficiency and outpu…
Accelerating Diffusion Sampling via Speculative Draft Trees
Marcello Bullo, Yanxiao Liu, Öykü Sıla Güner +2
Speculative sampling accelerates diffusion model generation by drafting inexpensive candidate states and correcting them under a coupling that preserves the target distribution exa…
Transceiver Design for Cell-Free Unsourced Random Access
Mert Ozates, Mohammad Kazemi, Eduard Jorswieck +1
We propose a low-complexity, energy-efficient solution for cell-free unsourced random access (URA), in which multiple distributed access points are connected to a central processin…
Multi-layer MIMO Relay as Deep Physical Neural Networks: Power Amplifiers as Activation Functions
Meng Hua, Itsik Bergel, Deniz Gündüz
Wireless physical neural networks (WPNNs) embed neural computation directly into analog hardware, offering lower energy consumption and latency than conventional digital implementa…