1 citations · 1 across the 3 of their papers we have counts for
4 papers
Sample-Size Extrapolation in Simulation-Based Inference via Statistical Scaling
Shiyi Sun, Lei Fang, Geoff K Nicholls
In simulation-based inference (SBI), neural posterior estimators trained on a bounded range of sample sizes can become inaccurate on larger datasets because their parameterizations…
A Differentiable Bayesian Relaxation for Latent Partial-Order Inference
Dongqing Li, Geoff K. Nicholls, Shiyi Sun +1
Many ranking and agent trace datasets are recorded as linear orders even though their latent structure is only partially ordered. This is especially common in agent and workflow tr…
Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation
Shiyi Sun, Geoff K. Nicholls, Jeong Eun Lee
Generalized Bayesian Inference (GBI) tempers a loss with a temperature to mitigate overconfidence and improve robustness under model misspecification, but existing GBI metho…
Performance Bounds of Ranging Precision in SPAD-Based dToF LiDAR
Hao Wu, Shiyi Sun, Lijie Zhao +3
Lidar with direct time-of-flight (dToF) technology based on single-photon avalanche diode detectors (SPAD) has been widely adopted in various applications. However, a comprehensive…