New Way
Research on "new ways" in various scientific domains focuses on developing innovative methods and algorithms to improve existing systems and tackle challenging problems. Current efforts span diverse areas, including enhancing robot navigation through object-aware costmaps and improved control systems, optimizing large language model performance via constrained generation and rule accumulation, and advancing image processing techniques using self-supervised learning and differentiable rendering. These advancements hold significant potential for improving the efficiency, robustness, and adaptability of AI systems across numerous applications, from autonomous vehicles and assistive robotics to scientific data analysis and educational tools.
Papers
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling
Ivan Ezhov, Kevin Scibilia, Katharina Franitza, Felix Steinbauer, Suprosanna Shit, Lucas Zimmer, Jana Lipkova, Florian Kofler, Johannes Paetzold, Luca Canalini, Diana Waldmannstetter, Martin Menten, Marie Metz, Benedikt Wiestler, Bjoern Menze
Crowdsourcing with Meta-Workers: A New Way to Save the Budget
Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang