Vincent de Bakker — accepted AI-conference papers

2026

Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices

Alexander Gräfe, Ding Huo, Vincent de Bakker, Johannes Berger, Marco Zimmerling, Sebastian Trimpe

IJCAI 2026

Transformer models are rapidly becoming a cornerstone of modern Internet of Things (IoT) applications, yet their computational and memory demands far exceed the capabilities of a single typical ultra-low-power IoT device. We present CATS, a framework for distributed transformer inference on ultra-lo

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2025

Scaffolding Dexterous Manipulation with Vision-Language Models

Vincent de Bakker, Joey Hejna, Tyler Ga Wei Lum, Onur Celik, Aleksandar Taranovic, Denis Blessing +3

NeurIPS 2025poster

Dexterous robotic hands are essential for performing complex manipulation tasks, yet remain difficult to train due to the challenges of demonstration collection and high-dimensional control. While reinforcement learning (RL) can alleviate the data bottleneck by generating experience in simulation, i…

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