Three-Dimensional Imaging of High-Density Dislocation Networks and Their Interactions using Multislice Electron Ptychography

Posted by klaurent Cornell

Kavli Affiliate: David Muller | Summary:Development of novel devices often involve combining functional materials and substrates, each chosen for particular physical properties such as low-loss or thermal conductivity. This, however, can introduce a large lattice mismatch and high density of structural defects that may limit device performance and reliability by trapping charge or creating leakage […]


Continue.. Three-Dimensional Imaging of High-Density Dislocation Networks and Their Interactions using Multislice Electron Ptychography

Sometimes You Gotta Run Before You Can Walk: Run-then-Walk Scheduling Strategy for VLM Autonomous Driving

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao| Summary:Recent VLM-based autonomous driving planners adopt GRPO-style reinforcement learning to optimize driving performance. However, existing GRPO recipes either optimize driving efficiency, risking progress-seeking but unsafe behavior, or enforce early safety constraints, leading to overly conservative behavior; both require lengthy training. To solve these problems, we first reveal two distinct RL regimes: […]


Continue.. Sometimes You Gotta Run Before You Can Walk: Run-then-Walk Scheduling Strategy for VLM Autonomous Driving

High-Dimensional Two-Sample Inference via Marginal Likelihood-Ratio Rank Statistics

Posted by klaurent Peking

Kavli Affiliate: Feng Long| Summary: We develop a rank-based framework for high-dimensional two-sample testing that detects marginal distributional differences beyond means and variances. Three marginal likelihood-ratio statistics generate SUM tests for widespread differences, MAX tests for concentrated departures, and Cauchy combinations for unknown signal sparsity. The procedures retain all pooled ranks and impose no moment […]


Continue.. High-Dimensional Two-Sample Inference via Marginal Likelihood-Ratio Rank Statistics