Robust Learning with Principled Out-of-Distribution Detection via Multiple Testing

The talk will summarize research findings in https://www.jmlr.org/papers/v24/23-0838.html, https://ojs.aaai.org/index.php/AAAI/article/view/30018/31790, https://ojs.aaai.org/index.php/AAAI/article/view/20670, https://dl.acm.org/doi/10.1145/3576841.3585931, and https://www.computer.org/csdl/proceedings-article/wacv/2025/108300j193/… that describe the uncertainty quantification techniques for detecting out-of-distribution and out-of-context inputs in the Trinity neuro-symbolic architecture developed at SRI.