Two models. Trained independently, on different data, different tasks. Average their weights, the result should be garbage. Except sometimes it isn't. Why? That's one of the questions Emanuele Rodolà has been attacking, through geometry. And model fusion is just one corner of it, his work stretches across audio, language models, and multimodal learning.
He's the next name on our 10th edition lineup.
Emanuele Rodolà is a Full Professor of Computer Science at Sapienza University of Rome, where he leads the GLADIA AI group. His work in this field has been supported by an ERC grant, a FIS grant, and a Google Research Award. In the past, he was a postdoctoral researcher at USI Lugano (2016–2017), an Alexander von Humboldt Fellow at TU Munich (2013–2016), and a JSPS Research Fellow at the University of Tokyo (2013), in addition to visiting periods at Tel Aviv University, Technion, École Polytechnique, and Stanford. He is a fellow of ELLIS and a fellow of the Young Academy of Europe. Professor Rodolà has received numerous awards for his research and plays an active role in the academic community, serving on program committees and as Area Chair for major conferences in AI and ML. His current research focuses primarily on neural model fusion, representation learning, language models, ML for audio, and multimodal learning, with around 190 publications in these areas. His work has been featured in media outlets including Fortune, Wired, Italian national broadcast and newspapers.
See you in Warsaw for the 10th edition, October 8–10 at the Copernicus Science Centre.