Jonas Hübotter

PhD student at ETH Zurich's Institute for Machine Learning, working on local learning and sequential decision making. His research focuses on test-time computation and how smaller models can outperform larger ones through strategic resource allocation.

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Dec 1, 2024 • 1h 46min

Jonas Hübotter (ETH) - Test Time Inference

Jonas Hübotter, a PhD student at ETH Zurich specializing in machine learning, delves into his innovative research on test-time computation. He reveals how smaller models can achieve up to 30x efficiency over larger ones by strategically allocating resources during inference. Drawing parallels to Google Earth's dynamic resolution, he discusses the blend of inductive and transductive learning. Hübotter envisions future AI systems that adapt and learn continuously, advocating for hybrid deployment strategies that prioritize intelligent resource management.

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