Yi Zhang
PulseAugur coverage of Yi Zhang — every cluster mentioning Yi Zhang across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
New Bayesian Signal Decomposition Method Uses Diffusion-Gibbs Sampling
Researchers have developed a novel Bayesian framework for signal component decomposition, combining Gibbs sampling with diffusion priors. This new method, termed Diffusion-within-Gibbs (DiG), allows for the unified inco…
-
New NPPR metric offers robust deep learning evaluation
Researchers have introduced Non-Parametric Probabilistic Robustness (NPPR), a new metric for evaluating the robustness of deep learning models. Unlike previous methods that assume a known perturbation distribution, NPPR…
-
New benchmarks and frameworks advance AI model robustness evaluation
Researchers have introduced PRBench, a new benchmark designed to standardize the evaluation of probabilistic robustness in deep learning models. This benchmark compares various adversarial training (AT) and probabilisti…
-
New minimax regret framework enhances treatment effect generalization across diverse sites
Researchers have developed a new statistical methodology for estimating heterogeneous treatment effects across multiple sites. This approach uses a minimax-regret framework to create a generalizable conditional average …