2 citations · 7 across the 19 of their papers we have counts for
5 papers · 1 filter
Annealed Lévy Diffusion via Gaussian Surrogate Reverse Dynamics
Yuling Jiao, Lican Kang, Jerry Zhijian Yang +2
Gaussian diffusion models offer a practical framework for generative modeling. Denoising Lévy Probabilistic Models (DLPM) introduce heavy-tailed perturbations with a fixed tail ind…
Truncation Samplers Are Nested: Comparing Decoding Rules Is a Measurement Problem
Rasul Khanbayov, Hasan Kurban
Settling one comparison between two truncation samplers has cost six thousand A100-hours, and nothing says in advance how far apart two samplers can be. We observe that almost ever…
Approximation Error Upper and Lower Bounds for Hölder Class with Transformers
Xin He, Yuling Jiao, Xiliang Lu +1
We explore the expressive power of Transformers by establishing precise approximation error upper and lower bounds for Hölder class. Specifically, a new approximation upper bound i…
Deep Transfer Learning: Model Framework and Error Analysis
Yuling Jiao, Huazhen Lin, Yuchen Luo +1
This paper presents a framework for deep transfer learning, which aims to leverage information from multi-domain upstream data with a large number of samples to a single-domain…
Characteristic Learning for Provable One Step Generation
Zhao Ding, Chenguang Duan, Yuling Jiao +3
We propose the characteristic generator, an one-step generative model that combines the sampling efficiency of generative adversarial networks (GANs) with the training stability of…