Gianni’s day job away from the tutorial similarly focuses on uncertainty and deep neural networks. He completed his PhD at MINES ParisTech, in a lab founded by Georges Matheron, a French mathematician instrumental in developing kriging. Based on Gaussian processes, this technique serves as a method of interpolation and uncertainty. “From the beginning of my PhD and even my master’s thesis, I’ve been interested in the limitations of what we do, of machine learning and now deep neural networks,” he says. “It’s always interesting to see all the positives, but I think it’s also interesting to see the limitations.” If this article piques your interest, visit Gianni’s tutorial tomorrow morning from 9:00-12:30 (Naupaka VII). Note: Please bring your laptop. 11 DAILY WACV Sunday Editor Ralph Anzarouth and RSIP Vision wish to thank Nicole and all the organizers of this wonderful WACV 2024 conference. You guys rock! Uncertainty Quantification
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