Xu, Zuheng

1. Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms
   2020/11/15 by Xin Ding, Ding, Xin, Yongwei Wang +7 · 3 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image Processing Techniques #Image and Signal Denoising Methods
2. MixFlows: principled variational inference via mixed flows
   2022/05/16 by Zuheng Xu, Naitong Chen, Xu, Zuheng +3 · 3 citations
   Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
3. The computational asymptotics of Gaussian variational inference and the Laplace approximation
   2021/04/13 by Zuheng Xu, Trevor Campbell, Xu, Zuheng +1 · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST)
4. Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
   2023/07/12 by Zuheng Xu, Trevor Campbell, Xu, Zuheng +1 · 3 citations
   Computer Science · Earth and Planetary Sciences · Engineering · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Meteorological Phenomena and Simulations #Numerical Analysis (math.NA)
5. Propensity Score Alignment of Unpaired Multimodal Data
   2024/04/02 by Johnny Xi, Xi, Johnny, Osea, Jana +2 · 2 citations
   Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Multi-Criteria Decision Making
6. Asymptotically exact variational flows via involutive MCMC kernels
   2025/06/02 by Zuheng Xu, Xu, Zuheng, Trevor Campbell +1 · 2 citations
   Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Mathematical Biology Tumor Growth
7. Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
   2024/10/04 by Steven Luu, Zuheng Xu, Luu, Son +9 · 1 citation
   Mathematics · #Markov Chains and Monte Carlo Methods
8. Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
   2025/03/19 by Kyurae Kim, Zuheng Xu, Kim, Kyurae +5 · 3 citations
   Mathematics · #Statistical Methods and Inference